You can use the formula A=6s^(2) to find the surface area of a cube with edge length s. A cube has edges that are 10in. long. What is the surface area of the cube? Show your work.

Answers

Answer 1

The surface area of a cube with edges measuring 10 inches is 600 square inches.

The surface area of a cube, we can use the formula A = 6s^(2), where A represents the surface area and s represents the length of the cube's edges. In this case, the edge length is given as 10 inches.

Substituting the value of s into the formula, we have A = 6(10^2). Simplifying the calculation, we get A = 6(100) = 600.

Therefore, the surface area of the cube is 600 square inches. This means that if we were to unfold the cube, the total area of all its faces would be 600 square inches.

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Related Questions

Find a possible formula for the function represented by the data. NOTE: The value for the base should be correct to one decimal place. \[ f(x)= \]

Answers

To find a possible formula for the function represented by the data, we can use the logarithmic function. So, the possible formula for the function represented by the data is: \[ f(x) = 3.5\cdot 4^x \]

The given data is: f(2) = 56, f(3) = 224, f(4) = 896, f(5) = 3584, f(6) = 14336. Since these numbers are highly varying and don't seem to follow any particular pattern of arithmetic or geometric progression, we may use the logarithmic function, which is commonly used to model exponential growth and decay. Thus, we will look for the formula in the form f(x) = ab^x, where a is the initial value and b is the base.

Let's assume the base of the exponential function to be b. We can express the following equations for given data:

f(2) = ab² = 56

f(3) = ab³ = 224

f(4) = ab⁴ = 896

f(5) = ab⁵ = 3584

f(6) = ab⁶ = 14336

Dividing (2) by (1), (3) by (2), (4) by (3), and (5) by (4), we get: \frac{f(3)}{f(2)}=\frac{ab^3}{ab^2}=4

\frac{f(4)}{f(3)}=\frac{ab^4}{ab^3}=4

\frac{f(5)}{f(4)}=\frac{ab^5}{ab^4}=4

\frac{f(6)}{f(5)}=\frac{ab^6}{ab^5}=4

In general, \frac{f(x)}{f(x-1)} = \frac{ab^x}{ab^{x-1}}=4

Simplifying, we get: b=4. Now, we can use the value of b in any of the above equations to find a. We will use f(2) = ab² = 56.

56 = a\cdot 4^2

56= 16a  

a= 3.5

Therefore, the possible formula for the function represented by the data is:\[ f(x) = 3.5\cdot 4^x \]

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Find an equation for the line which is parallel to 3y-6x=24 and passes through the point (8,-5).

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The equation for the line parallel to 3y - 6x = 24 and passing through the point (8, -5) can be written as 3y - 6x = -59.

To find the equation of a line parallel to a given line, we need to determine the slope of the given line and then use the slope-intercept form of a line.

The given line is 3y - 6x = 24. We rearrange it to slope-intercept form by solving for y:

3y = 6x + 24,

y = 2x + 8.

Since the line we're looking for is parallel to this line, it will have the same slope. Therefore, the slope of the parallel line is 2.

Using the slope-intercept form (y = mx + b) and the point (8, -5), we can substitute the slope and the coordinates into the equation:

-5 = 2(8) + b,

-5 = 16 + b,

b = -21.

So the equation for the line parallel to 3y - 6x = 24 and passing through the point (8, -5) is:

3y - 6x = -59.

Thus, the equation for the desired line is 3y - 6x = -59.

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State the appropriate null and alternative hypotheses. Also, state whether the test is a left tailed, right tailed, or a two tailed. (a) Boxes of a certain kind of rice are labeled as containing 16 ounces. An inspector thinks that the mean weight may be less than this. (b) Last year, the mean monthly rent for an apartment in a certain city was $1000. A real estate agent believes that the mean rent is higher this year. (c) Scores on a standardized test have a mean of 90 . Some modifications are made to the test, and an educator believes that the mean may have changed.

Answers

(a) The appropriate null hypothesis is that the mean weight of the rice boxes is equal to 16 ounces, and the alternative hypothesis is that the mean weight is less than 16 ounces. This is a left-tailed test.

(b) The appropriate null hypothesis is that the mean rent for this year is equal to $1000, and the alternative hypothesis is that the mean rent is higher than $1000. This is a right-tailed test.

(c) The appropriate null hypothesis is that the mean score on the standardized test is equal to 90, and the alternative hypothesis is that the mean score has changed. This is a two-tailed test.

(a) For the rice box weights, the null hypothesis states that the mean weight is equal to 16 ounces, and the alternative hypothesis suggests that the mean weight is less than 16 ounces. The inspector suspects that the mean weight is less, indicating a left-tailed test.

(b) In the case of apartment rents, the null hypothesis assumes that the mean rent for this year is equal to $1000, and the alternative hypothesis suggests that the mean rent is higher. The real estate agent believes that the mean rent has increased, making it a right-tailed test.

(c) Regarding the standardized test scores, the null hypothesis assumes that the mean score is equal to 90, while the alternative hypothesis suggests that the mean score has changed. The educator believes that the mean score may have increased or decreased, making it a two-tailed test, as any significant deviation from the mean is of interest.

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Results for this submission The answer above is NOT correct. Consider the differential equation y+1y^6=(y^3+5x)y where y(0)=1 Solve this equation by the following method: First, find a suitable integrating factor to obtain an implicit solution F(x,y)=C. This implicit solution cannot be solved explicitly for y but it can be solved explicitly for x :

Answers

The suitable integrating factor for the given differential equation is e^(5x). The implicit solution is e^(5x) * y^7 - x * y^4 - x^2/2 = C, where C is the constant of integration.

To solve the given differential equation y + y^6 = (y^3 + 5x) * y with the initial condition y(0) = 1, we can use the method of integrating factors.

The given equation is not in standard form, so we rearrange it to bring all terms to one side:

y + y^6 - (y^4 + 5xy) = 0

Now, we can rewrite the equation as:

y^7 - y^4 - 5xy + y = 0

Comparing this equation with the standard form y' + P(x)y = Q(x), we have:

P(x) = -5x

Q(x) = y^4 - y^7 + y

To find the integrating factor, we multiply both sides of the equation by e^(∫P(x) dx):

Integrating factor = e^(∫-5x dx) = e^(-5x)

Now, we multiply the entire equation by e^(-5x):

e^(-5x) * y^7 - e^(-5x) * y^4 - 5xe^(-5x) * y + e^(-5x) * y = 0

Simplifying the equation, we get:

e^(-5x) * y^7 - e^(-5x) * y^4 - 5xe^(-5x) * y + e^(-5x) * y = 0

Next, we integrate both sides with respect to x to obtain the implicit solution:

∫[e^(-5x) * y^7 - e^(-5x) * y^4 - 5xe^(-5x) * y + e^(-5x) * y] dx = ∫0 dx

Integrating each term separately, we have:

∫e^(-5x) * y^7 dx - ∫e^(-5x) * y^4 dx - ∫5xe^(-5x) * y dx + ∫e^(-5x) * y dx = C

Integrating each term results in:

(e^(-5x) * y^7) / -5 - (e^(-5x) * y^4) / -5 - ∫(e^(-5x) * y^4) (-5/5) dx + (e^(-5x) * y) / -5 = C

Simplifying further, we get:

-e^(-5x) * y^7 + e^(-5x) * y^4 + ∫e^(-5x) * y^4 dx - e^(-5x) * y = C

The integral term ∫e^(-5x) * y^4 dx can be solved explicitly to obtain an implicit solution for x. However, explicitly solving the integral is not specified in the given question.

Therefore, the implicit solution can be written as:

e^(5x) * y^7 - e^(5x) * y^4 - x * e^(5x) * y - x^2/2 = C

This is the desired implicit solution in terms of F(x, y) = C, where C is the constant of integration.



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A null and alternative hypothesis are given. Determine whether the hypothesis test is​ left-tailed, right-tailed, or​ two-tailed.
H0​:
σ

3.6
Ha​:
σ
<
3.6
Question content area bottom
Part 1
What type of test is being conducted in this​ problem?
A. Right​-tailed test
B. Two​-tailed test
C. Left​-tailed test

Answers

The hypothesis test is a left-tailed test, as we are investigating whether the population standard deviation is less than the specified value of 3.6. The hypothesis test given in the problem is a left-tailed test.

The null hypothesis, H0, states that the population standard deviation (σ) is greater than or equal to 3.6. On the other hand, the alternative hypothesis, Ha, suggests that the population standard deviation is less than 3.6. The direction of the alternative hypothesis indicates that we are interested in testing if the standard deviation is smaller than the specified value.

In a left-tailed test, the critical region is located in the left tail of the distribution. The test statistic is compared to the critical value from the left side of the distribution to determine the rejection region.

The decision to reject or fail to reject the null hypothesis will depend on whether the test statistic falls in the critical region.

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2. Find the distance between the two cities of given latitudes. Assume that Earth is a sphere of radius 4000 miles and that the cities are on the same meridian (one city is due north of the other). Miami 25°45'37" N Erie 42°7′ 15′′ N

Answers

The distance between Miami and Erie is approximately 1090.84 miles. To find the distance between two cities , we can use the formula for calculating the distance along a great circle on the surface of a sphere.

To find the distance between two cities on the same meridian, we can use the formula for calculating the distance along a great circle on the surface of a sphere. The latitude of Miami is 25°45'37" N, which can be converted to decimal degrees as 25.7603°. The latitude of Erie is 42°7'15" N, which can be converted to decimal degrees as 42.1208°. The formula to calculate the distance is: Distance = radius * arccos(sin(lat1) * sin(lat2) + cos(lat1) * cos(lat2) * cos(long2 - long1)).

Assuming the radius of the Earth is 4000 miles, we can calculate the distance as: Distance = 4000 * arccos(sin(25.7603) * sin(42.1208) + cos(25.7603) * cos(42.1208) * cos(0)). Using a calculator, the distance is approximately 1090.84 miles. Therefore, the distance between Miami and Erie is approximately 1090.84 miles.

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Answer true or false for the following. Explain your answer. (a) Even when the sample conditional distributions in a contingency table are only slightly different, when the sample size is very large it is possible to have a large X 2
test statistic and a very small P-value for testing H 0

: independence. (b) If the odds ratio =2.0 between gender (female, male) and opinion on some issue (favor, oppose), then the odds ratio =−2.0 if we measure gender as (male, female). (c) Interchanging two rows in a contingency table has no effect on the X 2
statistic. (d) Interchanging two rows in a contingency table has no effect on gamma. (e) If γ=0 for two variables, then the variables are statistically independent.

Answers

a. False - The statement incorrectly states that when the sample size is very large, it is not possible to have a large chi-square test statistic and a very small p-value for testing independence. b. True - The odds ratio would be -2.0 when the probability of being male is 1/2 and the probability of being female is 1/2. c. True - Swapping rows in a contingency table has no effect on the chi-square statistic. d. True - Swapping rows in a contingency table has no effect on the gamma statistic. e. False - A gamma of zero indicates no linear association between the variables, but it does not imply the absence of any relationship between the variables. we cannot conclude that the variables are statistically independent.

a. False Explanation: The null hypothesis H0: Independence is rejected at a significance level α if the value of the test statistic is greater than the critical value,

χ2α, v ,

where v is the degrees of freedom, and χ2α, v is the αth quantile of the chi-square distribution with v degrees of freedom.

The p-value is the probability of getting a chi-square test statistic as large as or larger than the observed value, assuming the null hypothesis is true.

Therefore, even when the sample conditional distributions in a contingency table are only slightly different, when the sample size is very large it is not possible to have a large X 2 test statistic and a very small P-value for testing H 0: independence.

b. True Explanation: When measuring gender as male and female, the odds ratio would be -2.0 because the probability of being male is 1/2 while the probability of being female is 1/2 as well.

Therefore, the odds of favoring or opposing some issue among the male gender would be -2.0.

c.  True Explanation :Swapping the rows in a contingency table has no effect on the X 2 statistic.

The value of the X 2 test statistic is independent of the ordering of the rows and columns in the contingency table.

d. True Explanation: Swapping rows in a contingency table has no effect on gamma, which is a measure of association between two categorical variables in a contingency table.

Gamma is based on differences and ratios of sums of products of values of the variables in the contingency table.

e. False Explanation :If γ=0 for two variables, then there may or may not be a relationship between the variables.

A gamma of zero simply means that there is no linear association between the two variables.

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we cannot conclude that the variables are statistically independent.

a. False Explanation: The null hypothesis H0: Independence is rejected at a significance level α if the value of the test statistic is greater than the critical value,

χ2α, v ,

where v is the degrees of freedom, and χ2α, v is the αth quantile of the chi-square distribution with v degrees of freedom.

The p-value is the probability of getting a chi-square test statistic as large as or larger than the observed value, assuming the null hypothesis is true.

Therefore, even when the sample conditional distributions in a contingency table are only slightly different, when the sample size is very large it is not possible to have a large X 2 test statistic and a very small P-value for testing H 0: independence.

b. True Explanation: When measuring gender as male and female, the odds ratio would be -2.0 because the probability of being male is 1/2 while the probability of being female is 1/2 as well.

Therefore, the odds of favoring or opposing some issue among the male gender would be -2.0.

c.  True Explanation :Swapping the rows in a contingency table has no effect on the X 2 statistic.

The value of the X 2 test statistic is independent of the ordering of the rows and columns in the contingency table.

d. True Explanation: Swapping rows in a contingency table has no effect on gamma, which is a measure of association between two categorical variables in a contingency table.

Gamma is based on differences and ratios of sums of products of values of the variables in the contingency table.

e. False Explanation :If γ=0 for two variables, then there may or may not be a relationship between the variables.

A gamma of zero simply means that there is no linear association between the two variables.

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Write an equation of the line passing through the given point and satisfying the given condition. (9,2) : parallel to 2x-y=9

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The equation of the line passing through the point (9,2) and parallel to the line 2x-y=9 can be found by using the slope-intercept form of a linear equation, which is y = mx + b, where m represents the slope and b represents the y-intercept.

To find the slope of the given line, we can rearrange the equation 2x-y=9 into the form y = 2x-9. We can see that the slope of this line is 2. Since the line we want to find is parallel to this line, it will also have a slope of 2.

Using the point-slope form of a linear equation, we can substitute the known values into the equation y - y1 = m(x - x1), where (x1, y1) represents the given point. Plugging in the values (9,2) and the slope m=2, we get y - 2 = 2(x - 9).

Simplifying the equation, we have y - 2 = 2x - 18. We can further rearrange it to the standard form, which is 2x - y = 16.

Therefore, the equation of the line passing through the point (9,2) and parallel to 2x-y=9 is 2x - y = 16.

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What is the slope -intercept fo of the linear equation 2x+3y=6?

Answers

The slope-intercept form of the linear equation 2x+3y=6 is y = (-2/3)x + 2.

To find the slope-intercept form of a linear equation, we need to solve for y and get the equation in the form y = mx + b, where m is the slope and b is the y-intercept.

Starting with the equation 2x + 3y = 6:

First, we'll isolate y by subtracting 2x from both sides:

2x + 3y - 2x = 6 - 2x

3y = -2x + 6

Next, we'll divide both sides by 3 to solve for y:

y = (-2/3)x + 2

Now we have the equation in slope-intercept form, where the slope (m) is -2/3 and the y-intercept (b) is 2.

Therefore, the slope-intercept form of the linear equation 2x+3y=6 is y = (-2/3)x + 2.

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factory tests a random sample of 22 transistors for defects. The probability that a particular transistor will be defective has been established by past experience as 0.05.
What is the probability that there are no defective transistors in the​ sample?
Question content area bottom
Part 1 The probability that there are no defective transistors in the sample is enter your response here.
​(Round to four decimal places as​ needed.)

Answers

The problem involves testing a random sample of 22 transistors for defects, with a known probability of 0.05. Using the binomial distribution, the probability of having no defective transistors is found to be 0.3774.

The problem describes a situation where a factory is testing a random sample of 22 transistors for defects. The probability that a particular transistor will be defective has been established as 0.05 based on past experience. The question asks to find the probability that there are no defective transistors in the sample. To solve this problem, we can use the binomial distribution, which is a probability distribution that describes the number of successes (or failures) in a fixed number of independent trials. In this situation, each transistor in the sample can be considered a trial, and we are interested in the number of defective transistors, which is a success. The probability of success, denoted by p, is given as 0.05, which means that the probability of a transistor being defective is 0.05. The probability of failure, denoted by q, is equal to 1-p, which means that the probability of a transistor not being defective is 0.95.

The probability of getting exactly x successes in n independent trials, where the probability of success in each trial is p, is given by the binomial probability formula:

P(X = x) = (n choose x) * p^x * q^(n-x)

where (n choose x) is the number of ways to choose x successes out of n trials, and can be calculated as:

(n choose x) = n! / (x! * (n-x)!)

where n! is the factorial of n, which is the product of all positive integers up to n.

In this problem, we are interested in finding the probability that there are no defective transistors in the sample, which corresponds to x = 0. Plugging in the values of n, x, p, and q in the binomial probability formula, we get:

P(X = 0) = (22 choose 0) * (0.05)^0 * (0.95)^22

Simplifying this expression, we get:

P(X = 0) = 1 * 1 * 0.3774

Therefore, the probability that there are no defective transistors in the sample is 0.3774 (or 37.74% rounded to two decimal places).

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If a single resident of Hawali makes $60,000 in 2015 , what percent of the per capita personal income for Hawail was hi(s)/(h)er salary? Round your answer to the nearest hundredth of a percent, if necessary.

Answers

The individual's salary represents approximately 133.33% of the per capita personal income for Hawaii.

To find the percentage of the per capita personal income represented by the salary of a single resident, we need to compare the individual's income to the per capita personal income for Hawaii. The per capita personal income is calculated by dividing the total personal income of a region by its population. Let's assume that the per capita personal income for Hawaii in 2015 was $45,000. To find the percentage, we can use the formula: Percentage = (Individual Income / Per Capita Personal Income) * 100.

Plugging in the values: Percentage = ($60,000 / $45,000) * 100 = 133.33% . Therefore, the individual's salary represents approximately 133.33% of the per capita personal income for Hawaii. Note that the percentage exceeds 100% because the individual's income is higher than the average income per person.

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The limit given below represents the derivative of some function f at some number a. What is the function f(x) and the number a?
lim_h→0(1-10(-1+h)+8(-1+h)+5)-3)/h
Provide your answer below.
f(x)= a=

Answers

The given limit represents the derivative of a function f(x) at a specific number a. The function f(x) is f(x) = 1 - 10x + 8x^2 + 5x^3, and the number a is a = -1.

To determine the function f(x) and the number a, we need to simplify the given limit expression and identify the resulting function and the point at which the derivative is being evaluated.

The given limit expression can be simplified as follows:

lim_h→0 (1 - 10(-1 + h) + 8(-1 + h) + 5) - 3)/h

= lim_h→0 (1 + 10h + 8h + 5 - 3)/h

= lim_h→0 (10h + 8h + 3)/h

= lim_h→0 (18h + 3)/h

= lim_h→0 18 + 3/h

As h approaches 0, the term 3/h goes to infinity. Therefore, the resulting limit is 18.

Since the limit represents the derivative of the function f(x) at a specific point, the function f(x) is f(x) = 1 - 10x + 8x^2 + 5x^3, and the number a is a = -1.

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Please answer both for an upvote. I am studying for an
examination and need help
4. Completely factor 3 2 P x x x ( ) 13 12 = − + . Begin with
listing the test factors. The solution must include syn

Answers

To completely factor the expression 3x^2 - 13x + 12, we list the test factors and use them to find the factors of the expression. The factored form of the expression will be the product of its factors.

We want to find two binomial factors that, when multiplied together, give us the original expression 3x^2 - 13x + 12. To do this, we first list the test factors: ±1, ±2, ±3, ±4, ±6, ±12.

By trying these test factors and performing the multiplication, we can determine the factors of the expression. We find that the factors are (x - 1) and (3x - 12), which can be obtained by using the test factors 1 and 4, respectively.

Thus, the completely factored form of the expression 3x^2 - 13x + 12 is (x - 1)(3x - 4).

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Let the random variable X have the pdf f X

(x)={ 9
2

(x+1)
0

if −1≤x≤2
otherwise ​
Define the random variable Y=X 2
. What is the pdf of Y?

Answers

The pdf of Y is `g(y) = (9/4) (sqrt(y) + 1) / sqrt(y)` for `0 ≤ y ≤ 4` and zero otherwise.

Let X be a random variable, and its pdf be `f(x)` defined as;

`f(x) = (9/2) (x+1)` where `-1 ≤ x ≤ 2`

Otherwise, `f(x) = 0`'

Now, we are to define another random variable Y such that;

`Y = X^2`

The pdf of Y can be derived as follows;

For a given y such that `0 ≤ y ≤ 4`, we can obtain the values of x which will give the value `y`.

Note that for `y > 4`,

the probability that `Y = y` is zero, and for `y < 0`, the probability that `Y = y` is also zero.

Given `y`, we have that;`Y = X^2``X = sqrt(Y)`

Thus, the range of `X` that corresponds to the given `y` is;

`- sqrt(y) ≤ X ≤ sqrt(y)`

Therefore, the pdf of Y is given by;

`g(y) = f(x) / |dx/dy|``g(y) = f(x) / (2 sqrt(y))`

Where, `|dx/dy|` is the derivative of `x` w.r.t `y`.

Since we have;`f(x) = (9/2) (x+1)`

We can determine the limits of integration by solving the equation `y = x^2` for `x`;`y = x^2``x = sqrt(y)`

From the above equation, the limits of integration is `-sqrt(y) ≤ x ≤ sqrt(y)` and for the given range of `y`, `-2 ≤ y ≤ 4`.

Thus, we can define the pdf of Y as;

`g(y) = f(x) / (2 sqrt(y))``g(y)

       = (9/2) (x+1) / (2 sqrt(y))``g(y)

       = (9/4 sqrt(y)) * (x+1)`

Now, substituting for `x` in the above equation, we have;

`g(y) = (9/4 sqrt(y)) * (sqrt(y) + 1)`

Thus,

`g(y) = (9/4) (sqrt(y) + 1) / sqrt(y)`

The pdf of Y is `g(y) = (9/4) (sqrt(y) + 1) / sqrt(y)` for `0 ≤ y ≤ 4` and zero otherwise.

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teacher has 10 grab bags. Seven of the grab bags contain toys. The other three contain snacks. The teacher invites one student to randomly select a grab bag as a reward for good behavior on three consecutive days. The student returns the bag to the teacher at the end of each day so that it can be replaced for the next day.
a.) Is this binomial? Why or why not?
b.) What is the probability that all three grab bags contain toys?
c.) What is the probability that all three grab bags contain snacks?
d.) What is the probability that at least one of the grab bags contains snacks?

Answers

a) No, this situation is not binomial because the selection is made with replacement. In a binomial experiment, the trials must be independent and the probability of success must remain constant for each trial. However, in this case, the student returns the grab bag at the end of each day, which means the probability of success (selecting a toy) can change for each trial.

b) The probability that all three grab bags contain toys can be calculated by multiplying the probabilities of selecting a toy on each day. Since there are 7 grab bags with toys and a total of 10 grab bags, the probability of selecting a toy on any given day is 7/10. Therefore, the probability that all three grab bags contain toys is (7/10) * (7/10) * (7/10) = 0.343.

c) Similarly, the probability that all three grab bags contain snacks can be calculated by multiplying the probabilities of selecting a snack on each day. Since there are 3 grab bags with snacks and a total of 10 grab bags, the probability of selecting a snack on any given day is 3/10. Therefore, the probability that all three grab bags contain snacks is (3/10) * (3/10) * (3/10) = 0.027.

d) To calculate the probability that at least one grab bag contains snacks, we can subtract the probability that none of the grab bags contain snacks from 1. The probability of not selecting a snack on any given day is 7/10, so the probability that none of the grab bags contain snacks is (7/10) * (7/10) * (7/10) = 0.343. Therefore, the probability that at least one grab bag contains snacks is 1 - 0.343 = 0.657.

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a. A hospital employs 354 nurses and 31% of them are male. How many male nurses are there? b. An engineering firm employs 174 engineers and 105 of them are male. What percentage of these engineers are female? c. A large law firm is made up of 55% male lawyers, or 158 male lawyers. What is the total number of lawyers at the firm? a. There are male nurses. (Round to the nearest whole number as needed.)

Answers

(a) There are approximately 110 male nurses in the hospital.

(b) Approximately 39.66% of the engineers in the firm are female.

(c) The total number of lawyers at the law firm is approximately 287.

a. The number of male nurses in the hospital can be calculated by multiplying the total number of nurses (354) by the percentage of male nurses (31%).

Number of male nurses = 354 * 0.31 = 109.74

Since we cannot have a fraction of a nurse, we round the result to the nearest whole number.

Approximately 110 male nurses are employed in the hospital.

b. To determine the percentage of female engineers in the engineering firm, we need to subtract the number of male engineers (105) from the total number of engineers (174).

Number of female engineers = 174 - 105 = 69

To calculate the percentage, we divide the number of female engineers by the total number of engineers and multiply by 100.

Percentage of female engineers = (69 / 174) * 100 ≈ 39.66%

Approximately 39.66% of the engineers in the firm are female.

c. The total number of lawyers at the law firm can be found by dividing the number of male lawyers (158) by the percentage of male lawyers (55%).

Let the total number of lawyers be represented by "x."

Number of male lawyers = 0.55x = 158

To solve for x, we divide 158 by 0.55:

x = 158 / 0.55 ≈ 287.27

Since we cannot have a fraction of a lawyer, we round the result to the nearest whole number.

Approximately 287 lawyers are employed at the law firm.

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b. Take 50 readings c. Determine sample size using a confidence level of 90% and 5% of accuracy. N=( E r

×x
Z α/2

×S

) 2

Answers

The sample size required to achieve a 90% confidence level and 5% accuracy is 67. The z-score for the 90% confidence level is 1.645.

The sample size is calculated using the following formula: N = (er × zα/2 × s)²

where:

N is the sample sizeer is the desired accuracyzα/2 is the z-score for the desired confidence levels is the standard deviation of the population

In this case, we are given that the desired accuracy is 5%, the confidence level is 90%, and the standard deviation of the population is unknown.

The z-score for the 90% confidence level is 1.645.

Therefore, the sample size is:

N = (0.05 × 1.645 × s)²

We do not know the standard deviation of the population, so we must estimate it. We can use the sample standard deviation from the 50 readings that were taken.

The sample standard deviation is 1.5.

Therefore, the sample size is:

N = (0.05 × 1.645 × 1.5)² = 67

Therefore, the sample size required to achieve a 90% confidence level and 5% accuracy is 67.

Here are the steps involved in calculating the sample size:

Identify the desired accuracy and confidence level.Calculate the z-score for the desired confidence level.Estimate the standard deviation of the population.Substitute the values into the sample size formula.Calculate the sample size.The answer is 67.

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Suppose you are playing blackjack against a dealer. Recall that a "blackjack" consists of a 2 card hand where one card is an ace, and the other card is a 10, J, Q, or K. In a freshly shuffled deck, what is the probability that neither you nor the dealer are dealt a blackjack?

Answers

Probability ≈ 0.6826

Let's calculate the probability that neither the player nor the dealer is dealt a blackjack in a freshly shuffled deck.

To start, we need to determine the number of favorable outcomes and the total number of possible outcomes.

Number of favorable outcomes:

In a freshly shuffled deck, there are 4 aces and 16 cards with a value of 10 (10, J, Q, K). So, there are a total of 4 * 16 = 64 favorable outcomes for a blackjack.

Total number of possible outcomes:

In a standard deck of 52 cards, the player receives 2 cards, and the dealer also receives 2 cards. Therefore, there are 52 * 51 * 50 * 49 possible combinations of cards.

Now, let's calculate the probability:

Probability = (Number of favorable outcomes) / (Total number of possible outcomes)

          = 64 / (52 * 51 * 50 * 49)

Using a calculator, we can simplify this expression to:

Probability ≈ 0.6826

Therefore, the probability that neither the player nor the dealer is dealt a blackjack in a freshly shuffled deck is approximately 0.6826, or 68.26%.

It's important to note that this calculation assumes that the deck is shuffled randomly and that each card has an equal chance of being dealt. In reality, various factors like card counting and different playing strategies can influence the probabilities in a game of blackjack.

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The distribution of people's weight is normal. Marie's z score for her weight is \( 0.53 \) and Geraldine's z score is \( 1.43 \). What proportion of people has a weight in-between Marie's and Geraldi

Answers

The proportion of people with weights between Marie's and Geraldine's is approximately 0.1762, or 17.62%.

To find the proportion of people with a weight between Marie's and Geraldine's, we need to calculate the area under the normal distribution curve between their respective z-scores.

Let's denote the proportion of people with weights between Marie's and Geraldine's as \( P(M < X < G) \), where \( M \) represents Marie's z-score and \( G \) represents Geraldine's z-score.

To calculate this proportion, we can use a standard normal distribution table or a statistical software. Since Marie's z-score is 0.53 and Geraldine's z-score is 1.43, we need to find the area under the curve between these two z-scores.

Using a standard normal distribution table or a statistical software, we find that the proportion of people with weights between Marie's and Geraldine's is approximately 0.1762, or 17.62%.

Therefore, approximately 17.62% of people have a weight in-between Marie's and Geraldine's.

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Given the polar coordinates (−10,135∘), convert to exact rectangular coordinates. Answer

Answers

The exact rectangular coordinates for the polar coordinates (-10, 135°) are (5[tex]\sqrt{2}[/tex], -5[tex]\sqrt{2}[/tex]).

To convert polar coordinates to rectangular coordinates, we can use the following formulas:

x = r * cos(θ)

y = r * sin(θ)

Given the polar coordinates (-10, 135°), where r is the distance from the origin (radius) and θ is the angle in degrees, we can apply these formulas.

x = (-10) * cos(135°)

y = (-10) * sin(135°)

To evaluate the trigonometric functions, we'll use the corresponding values from the unit circle:

cos(135°) = -[tex]\sqrt{2}[/tex]/2

sin(135°) = [tex]\sqrt{2}[/tex]/2

Substituting these values into the formulas, we have:

x = (-10) * (-[tex]\sqrt{2}[/tex]/2)

y = (-10) * ([tex]\sqrt{2}[/tex]/2)

Simplifying, we get:

x = 5[tex]\sqrt{2}[/tex]

y = -5[tex]\sqrt{2}[/tex]

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The product of two consecutive positive odd numbers is 255 . What are the numbers? Solution: Let x be the first odd number

Answers

The two consecutive positive odd numbers whose product is 255 are 15 and 17.

Let's solve the problem step by step.

Assign variables

Let x be the first odd number.

Determine the consecutive odd number

Since the numbers are consecutive odd numbers, the second odd number can be represented as (x + 2), as it will be 2 more than the first odd number.

Set up the equation

The product of the two consecutive odd numbers is given as 255, so we can write the equation:

x * (x + 2) = 255

Solve the equation

Expanding the equation:

x^2 + 2x = 255

Rearranging the equation:

x^2 + 2x - 255 = 0

Factor or use the quadratic formula to solve the equation

To solve the quadratic equation, we can either try factoring or use the quadratic formula. In this case, factoring is not straightforward, so we'll use the quadratic formula.

The quadratic formula states:

x = (-b ± √(b^2 - 4ac)) / 2a

For our equation x^2 + 2x - 255 = 0, the values are:

a = 1, b = 2, c = -255

Substituting the values into the quadratic formula:

x = (-2 ± √(2^2 - 41(-255))) / 2*1

Simplifying:

x = (-2 ± √(4 + 1020)) / 2

x = (-2 ± √1024) / 2

x = (-2 ± 32) / 2

This gives us two possible solutions:

x = (-2 + 32) / 2 = 30 / 2 = 15

x = (-2 - 32) / 2 = -34 / 2 = -17

Step 6: Determine the consecutive odd numbers

Since we are looking for positive consecutive odd numbers, we can disregard the second solution (-17). Therefore, the first odd number is 15, and the second odd number is (15 + 2) = 17.

Hence, the two consecutive positive odd numbers whose product is 255 are 15 and 17.

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Find the values of the six trigonometric functions of for the right triangle with the given sides. write answers in the form of sin,cos,tan,csc,sec, cot as in this example: 1/3,1/5,qrt(3)/5,7,2,5qrt(2)/5 Use sart for square root.

Answers

The values of the six trigonometric functions for the right triangle with the given sides are as follows: sin = 4/5, cos = 3/5, tan = 4/3, csc = 5/4, sec = 5/3, cot = 3/4.

In a right triangle, the three basic trigonometric functions are defined as follows: sine (sin) is the ratio of the length of the side opposite the angle to the length of the hypotenuse, cosine (cos) is the ratio of the length of the adjacent side to the length of the hypotenuse, and tangent (tan) is the ratio of the length of the opposite side to the length of the adjacent side.

Given the sides of the right triangle, we can determine the values of these trigonometric functions. Let's assume that the side opposite the angle is 4 units long, and the adjacent side is 3 units long. The hypotenuse can be found using the Pythagorean theorem, which states that the square of the hypotenuse is equal to the sum of the squares of the other two sides. In this case, the hypotenuse is calculated as [tex]\sqrt{((3^2) + (4^2))[/tex]= 5.

Using these values, we can calculate the trigonometric functions as follows: sin = 4/5, cos = 3/5, and tan = 4/3. The reciprocal of each function gives us the values for the cosecant (csc = 1/sin), secant (sec = 1/cos), and cotangent (cot = 1/tan) functions. Thus, csc = 5/4, sec = 5/3, and cot = 3/4.In summary, the values of the six trigonometric functions for the given right triangle are sin = 4/5, cos = 3/5, tan = 4/3, csc = 5/4, sec = 5/3, and cot = 3/4.

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There are 810 identical plastic chips numbered 1 through lnab0x What is the probabity of reacheng into the box and randomly drawinga chip number that is smalier than 479 ? Express your answer as a simplifed fraction or a decimak rounded to four decimat pinces.

Answers

The probability of randomly drawing a chip number smaller than 479 from a box containing 810 identical plastic chips numbered 1 through lnab0x is 479/810, which can be simplified to 23/39 or approximately 0.5897.

To find the probability, we need to determine the number of chips smaller than 479 and divide it by the total number of chips. Since all the chips are identical, we can assume that each chip has an equal chance of being drawn. The number of chips smaller than 479 is 479 - 1 = 478. Therefore, the probability is 478/810, which can be simplified to 239/405.

Dividing both the numerator and denominator by their greatest common divisor of 239 yields 1/3, resulting in a simplified fraction of 23/39. Alternatively, dividing 478 by 810 gives us approximately 0.5897, rounded to four decimal places. Thus, the probability of drawing a chip number smaller than 479 from the box is 23/39 or approximately 0.5897.

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If f(x)=x3−e−x,x0​=0.5 (a) Find the Taylor Polynomial, T2​(x), of degree at most 2 for f(x) expanded about x0​. (b) Evaluate T2​(0.8) and compute the actual error ∣f(0.8)−T2​(0.8)∣.

Answers

(a) The Taylor polynomial, T2(x) = f(0.5) + f'(0.5)(x - 0.5) + (1/2)f''(0.5)(x - 0.5)^2 , (b) we calculate the actual value of f(0.8): f(0.8) = (0.8)^3 - e^(-0.8) ≈ 0.512 - 0.4493 ≈ 0.0627 ≈ f(0.5) + 1.5753125

(a) The Taylor polynomial, T2(x), of degree at most 2 for f(x) expanded about x0 = 0.5 can be found using the Taylor series expansion. The general form of the Taylor polynomial is given by:

T2(x) = f(x0) + f'(x0)(x - x0) + (1/2)f''(x0)(x - x0)^2

First, let's find the first and second derivatives of f(x). The first derivative is:

f'(x) = 3x^2 + e^(-x)

Evaluating f'(x) at x0 = 0.5, we have:

f'(0.5) = 3(0.5)^2 + e^(-0.5) = 0.75 + 0.6065 ≈ 1.3565

Now, let's find the second derivative:

f''(x) = 6x - e^(-x)

Evaluating f''(x) at x0 = 0.5, we have:

f''(0.5) = 6(0.5) - e^(-0.5) = 3 - 0.6065 ≈ 2.3935

Finally, substituting the values into the general form of the Taylor polynomial, we get:

T2(x) = f(0.5) + f'(0.5)(x - 0.5) + (1/2)f''(0.5)(x - 0.5)^2

(b) To evaluate T2(0.8), we substitute x = 0.8 into the Taylor polynomial:

T2(0.8) = f(0.5) + f'(0.5)(0.8 - 0.5) + (1/2)f''(0.5)(0.8 - 0.5)^2

Next, we calculate the actual value of f(0.8):

f(0.8) = (0.8)^3 - e^(-0.8) ≈ 0.512 - 0.4493 ≈ 0.0627

Substituting the values into the Taylor polynomial and evaluating, we find:

T2(0.8) = f(0.5) + f'(0.5)(0.8 - 0.5) + (1/2)f''(0.5)(0.8 - 0.5)^2

       ≈ f(0.5) + 1.3565(0.8 - 0.5) + (1/2)(2.3935)(0.8 - 0.5)^2

       ≈ f(0.5) + 0.67825 + 0.8970625

       ≈ f(0.5) + 1.5753125

To compute the actual error ∣f(0.8) - T2(0.8)∣, we subtract T2(0.8) from f(0.8) and take the absolute value:

∣f(0.8) - T2(0.8)∣ = ∣0.0627 - (f(0.5) + 1.5753125)∣

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A hot air ballon is rising upward with a constant speed of 3.18(m)/(s). When the ballon is 7.26m above the ground, the balloonist accidentally drops a compass over the side of the balloon. How much time elapses before the compass hits the ground?

Answers

The time it takes for the compass to hit the ground after being dropped from a hot air balloon is calculated by dividing the distance the compass falls (7.26m) by the upward speed of the balloon (3.18 m/s).

To determine the time it takes for the compass to reach the ground, we can use the formula time = distance / speed. In this case, the distance the compass falls is given as 7.26m, and the upward speed of the balloon is constant at 3.18 m/s.

Dividing the distance by the speed, we get the time elapsed before the compass hits the ground: 7.26m / 3.18 m/s = 2.28 seconds (rounded to two decimal places).

Therefore, it takes approximately 2.28 seconds for the compass to hit the ground after being dropped from the hot air balloon. During this time, the balloon continues to rise upward at a constant speed while the compass falls due to gravity.

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Consider the quadratic function f(x)=x^2−2x−24. Determine the following: The smallest x-intercept is x= The largest x-intercept is x= The y-intercept is y=

Answers

For the quadratic function f(x) = x^2 - 2x - 24, the smallest x-intercept is x = -4 and the largest x-intercept is x = 6. The y-intercept is y = -24, obtained by setting x = 0 in the function.

To find the x-intercepts of the quadratic function f(x) = x^2 - 2x - 24, we need to solve for x when f(x) = 0:

x^2 - 2x - 24 = 0

Factoring the quadratic, we get:

(x - 6)(x + 4) = 0

Therefore, the x-intercepts are x = 6 and x = -4.

The smallest x-intercept is x = -4, and the largest x-intercept is x = 6.

To find the y-intercept, we set x = 0 in the function:

f(0) = 0^2 - 2(0) - 24 = -24

Therefore, the y-intercept is y = -24.

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The miles per gallon obtained by the 1995 model Z cars is normally distributed with a mean of 24 miles per gallon and a standard deviation of 5 miles per gallon. (You may need to use the appropriate appendix table or technology to answer this question. Round your answers to four decimal places.) (a) What is the probability that a car will get between 14.35 and 36.1 miles per galion? (b) What is the probability that a car will get more than 28.6 miles per gallon? (c) What is the probability that a car will get less than 21 miles per gallon? (d) What is the probability that a car will get exactly 24 miles per gallon?

Answers

(a) To find the probability that a car will get mileage between 14.35 and 36.1 miles per gallon, we need to calculate the area under the normal distribution curve between these two values.

(b) To determine the probability that a car will get more than 28.6 miles per gallon, we find the area under the normal distribution curve to the right of this value.

(c) To calculate the probability that a car will get less than 21 miles per gallon, we find the area under the normal distribution curve to the left of this value.

(d) The probability of obtaining exactly 24 miles per gallon, which is the mean of the distribution, is zero in a continuous probability distribution since the area of a single point is infinitesimally small. Therefore, the probability of getting exactly 24 miles per gallon is negligible.

By using the appropriate normal distribution techniques, such as the standard normal distribution table or technology, we can find the probabilities for the given mileage ranges.

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Quick question cuz i'm not good with algebra but here (question is in screenshot).

Answers

The axis of symmetry for each function in this problem is given as follows:

f(x): x = -2.g(x):  x = 2.

How to define the quadratic function given it's vertex?

The quadratic function of vertex(h,k) is given by the rule presented as follows:

y = a(x - h)² + k

In which:

h is the x-coordinate of the vertex.k is the y-coordinate of the vertex.a is the leading coefficient.

The axis of symmetry of a quadratic function is given as follows:

x = h.

Hence for function g(x) the axis of symmetry is given as follows:

x = 2.

For function f(x), the turning point of the curve is at the x-coordinate of -2, hence it is given as follows:

x = -2.

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The probability that an individual pipe fitting fails in the field within six months of installation is 0.003, and an industrial air supply system contains 300 such fittings. Assuming that failures of individual fittings are independent of each other, what is the probability that at least one fitting will fail within six months of installation? About 0.1 About 0.6 About 0.4 About 0.9

Answers

The probability that at least one fitting will fail within six months of installation is about 0.552.

To find the probability that at least one fitting will fail within six months of installation, we can use the concept of complementary probability.

The probability of at least one failure is equal to 1 minus the probability of no failures.

The probability that an individual fitting does not fail within six months is 1 minus the probability of failure, which is 1 - 0.003 = 0.997.

Since the failures of individual fittings are assumed to be independent, the probability that none of the 300 fittings fail within six months is (0.997)^300.

Therefore, the probability that at least one fitting will fail within six months is [tex]1 - (0.997)^{300.[/tex]

Calculating this probability, we find:

[tex]1 - (0.997)^{300} \approx 0.552[/tex]

So, the probability that at least one fitting will fail within six months of installation is approximately 0.552.

Since the options given are 0.1, 0.6, 0.4, and 0.9, the closest answer is 0.6.

However, the actual probability is approximately 0.552, which is slightly lower than 0.6.

Therefore, the correct answer is: About 0.6.

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Find x in the following equation. log b

x+log b

(x−8)=log b

9 x=

Answers

The equation log_b(x) + log_b(x-8) = log_b(9x) for x has two possible solutions: x = 0 and x = 17.

To solve the equation log_b(x) + log_b(x-8) = log_b(9x) for x, we can use logarithmic properties.

First, we can combine the logarithms on the left side of the equation using the logarithmic product rule:

log_b(x) + log_b(x-8) = log_b(9x)

log_b(x(x-8)) = log_b(9x)

Since the logarithms on both sides have the same base (b), we can drop the logarithm notation:

x(x-8) = 9x

Now, let's simplify the equation:

x² - 8x = 9x

x² - 8x - 9x = 0

x² - 17x = 0

Factor out x:

x(x - 17) = 0

Now we have two possibilities:

1) x = 0

2) x - 17 = 0

  x = 17

Therefore, the equation has two possible solutions: x = 0 and x = 17.

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Prepare a PowerPoint presentation using the template above in APA format which will act as a FAQ/Shareholder Analysis. This assignment must be done in PowerPoint. No other formats will be accepted (ie Word). Evaluate economic conditions that influence company performance. This applies to any company. Give examples of political, environmental, currency (money), global economics, and government influences on economic conditions. Compare market conditions in 2017 with Apple's specific performance for that year. Conclude how the market conditions that year influenced the companys performance, such as interest rates, Federal Reserve Bank monetary policy changes (use the following link: Fed Monetary Report 2017, and other market conditions relevant to the company selected. Analyze year-over-year performance from 2016 and 2017. Use Macrotrends to find the following key metrics or ratios: PE ratio, price to book, return on assets, and return on equity. Include those figures in your conclusions. Use 09/30/2016 & 09/30/2017 dates. You must use Macrotrends for the key metrics ratios using the following links: Apple PE Ratio, Apple Price to Book Ratio, Apple ROA, & Apple ROE. Again, you do not need to calculate anything. Macrotrends has done the work for you. IMPORTANT: You must use Apple for this assignment. You must use Macrotrends for the data. You must use the template provided to you above. No other formats will be accepted (ie Word). This is the basic outline for the assignment with additional "hints and guidance" (including information location notes). You should not need to add any extra slides. Discussions should be handled within the speaker notes, not on the slides. Use complete sentences and proper grammar as there are points on this assignment for APA. Required references are already given to you in their proper format. If you use additional references, use the Reference and Citation Generator to format your references as again, there are points for APA on this assignment. Jaime owns a monopoly business selling sweatshirts. The demand for her product is given by: Q=160020P. She is currently selling sweatshirts at P=$40. What is the price elasticity of demand at this price? You will have to use the point elasticity formula. The price elasticity of demand at this price is 1 (with margin: 0.07) Your hospital has just reset the safety stock level for sleeping pills to be 223 pills.If your hospital consumes an average of 1,184 per day with a standard deviation of 80 pills, what is the chance that your hospital will run out of sleeping pills on any day? (Keep four decimal places in your answer, which should be a number not a percentage) Which of the following are propositions - Boston is the capital of Georgia. - Boston is the capital of Massachusetts. - 5+7=10. - 5+5=10. - x+2=11. - What time is it? - There are no red flies in Maine. - 2n>100. - The noon is made of green cheese. State the negation of each of the these propositions - Mei has an MP3 Player. - 2+1=3. - There is no pollution in New Jersey. - Jennifer and Teja are friends. - There are infinite many twin primes. State the conjunction of statements - p= (It is below freezing); q=( the class will be cancelled ). - p= (You will get a speeding ticket); q= (You drive over 65 miles per hour). - p= (The user input a number 1);q=( the loop is stopped ). - p= (You read the newspaper every day); q= (you will be informed). State the disjunction of statements - p=( It is below freezing); q=( the class will be cancelled ). - p= (You will get a speeding ticket); q= (You drive over 65 miles per hour). - p=( It is below freezing); q= (the class will be cancelled). - p= (You will get a speeding ticket); q= (You drive over 65 miles per hour). State the converse of each of the following propositions of "if p then q " - p= (It is below freezing); q= (the class will be cancelled). - p= (You will get a speeding ticket); q= (You drive over 65 miles per hour). State the contrapositive of each of the following propositions of "if p then q " - p= (It is below freezing); q= (the class will be cancelled). - p= (You will get a speeding ticket); q= (You drive over 65 miles per hour). State the inverse of each of the following propositions of "if p then q " - p= (It is below freezing); q= (the class will be cancelled). - p= (You will get a speeding ticket); q= (You drive over 65 miles per hour). State the biconditional statement of each of the following propositions of "if p then q " - p= (It is below freezing); q= (the class will be cancelled). - p= (You will get a speeding ticket); q= (You drive over 65 miles per hour). Construct a truth table for (p>q)(notp>q) Find the bitwirse OR, bitwise AND and bitwise XOR of the two binary numbers (1) 1011110 (2) 0110111001000100 If accretion expense at the end of 2021 is $20,946, what will be the accretion expense at the end of 2022 (all other variables remain the same)? Assume the credit-adjusted risk-free rate used to compute expected present value is 10%. $__________