#8 Which statement about the two triangles is true?

The distance between the points (-21,-29) and (0,0) is approximately 35.80 units.

To find the distance between two points in a coordinate plane, we can use the distance formula. The distance formula is based on the Pythagorean theorem and can be written as follows:

d = √((x₂ - x₁)² + (y₂ - y₁)²)

Where d is the distance between the two points, and (x₁, y₁) and (x₂, y₂) are the coordinates of the two points.

Using this formula, we can find the distance between the points (-21,-29) and (0,0) as follows:

d = √((0 - (-21))² + (0 - (-29))²)

= √(21² + 29²)

= √(441 + 841)

= √1282

≈ 35.80

This distance represents the length of a straight line segment connecting the two points in the coordinate plane.

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After testing the claim, the required t-statistic value will come out to be approximately -2.235.

it is given that,

Population mean annual salary is μ=$30000

Sample size is n=17

Sample mean annual salary is ¯x=$22298

Sample standard deviation of the salaries is s=$14200

Level of significance is α=0.05

To test the assertion that the mean annual salary for the adult population of one town is $30000, one must determine the test statistic.

The issue is determining whether the adult population of one town makes a mean annual wage of $30,000 or not. It shows that $30000 is taken as the mean annual salary under the null hypothesis. The alternative hypothesis, however, contends that the mean annual salary is not $30000.

The alternative hypothesis and the null are thus:

H0:μ=$30000

H0:μ≠$30000

Regarding the question, it has a small sample size and there is no known population standard deviation.

Consequently, is the proper test statistic as t-statistic.

The test statistic is determined as: assuming the null hypothesis is correct.

[tex]t= \frac{¯x−μ}{\frac{s}{√n} } \\ = \frac{22298 - 30000}{ \frac{14200}{ \sqrt{17} \\} } \\ = \frac{ - 7702 \sqrt{17} }{14200} \\ = - 2.236349[/tex]

or we can take the nearest decimals and it'll be -2.236. Thus, the value of the required t-statistic is approximately -2.236.

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the total area under the curve is 2400.

To find the number of vehicles that pass the intersection between time t = 0 and time t = 8, we need to calculate the definite integral of the function R(t) from t = 0 to t = 8:

∫(0 to 8) R(t) dt

Looking at the graph of R(t), we can see that it consists of two parts: a rectangle with base 2 and height 600, and a triangle with base 6 and height 400. The area of the rectangle is 2 x 600 = 1200, and the area of the triangle is (1/2) x 6 x 400 = 1200. Therefore, the total area under the curve is 2400.

So, the number of vehicles that pass the intersection between time t = 0 and time t = 8 is:

∫(0 to 8) R(t) dt = 2400

Since R(t) is measured in vehicles per hour, this means that 2400 vehicles pass the intersection between time t = 0 and time t = 8. Therefore, the answer is 2400, which is not one of the given answer choices.

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An integer is a whole number that can be either positive, negative, or zero. In mathematics, a theorem is a statement that has been proven to be true using logic and reasoning. Theorem 1 states that the integer n = 33 is not divisible by 5.

To show that an integer n is divisible by 5, we need to find an integer k such that n = 5k. Let's apply this definition to each of the given integers.

(a) To show that n = 45 is divisible by 5, we need to find an integer k such that n = 5k. We can see that k = 9 satisfies this condition since 5k = 5(9) = 45. Therefore, 45 is divisible by 5.

(b) To show that n = -110 is divisible by 5, we need to find an integer k such that n = 5k. We can see that k = -22 satisfies this condition since 5k = 5(-22) = -110. Therefore, -110 is divisible by 5.

(c) To show that n = 0 is divisible by 5, we need to find an integer k such that n = 5k. We can see that k = 0 satisfies this condition since 5k = 5(0) = 0. Therefore, 0 is divisible by 5.

(d) To prove Theorem 1, we will use proof by contradiction. Let's assume that n = 33 is divisible by 5, which means there exists an integer k such that n = 5k. Then, we have 33 = 5k, which implies that k = 6.6. However, k must be an integer according to the definition of divisibility. Therefore, we have reached a contradiction, and our assumption that n = 33 is divisible by 5 must be false. Hence, Theorem 1 is proven.

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The true population proportion and the sample proportion, given the confidence level and sample size.

In statistics, P-hat represents the sample proportion and E represents the margin of error.

Given a confidence interval of (0.444, 0.484), we can find P-hat and E as follows:

P-hat = (lower limit + upper limit) / 2

P-hat = (0.444 + 0.484) / 2

P-hat = 0.464

Therefore, the sample proportion (P-hat) is 0.464.

To find E (the margin of error), we need to use the formula:

E = (upper limit - lower limit) / 2

E = (0.484 - 0.444) / 2

E = 0.02

Therefore, the margin of error (E) is 0.02.

Note that the margin of error indicates the maximum likely difference between the true population proportion and the sample proportion, given the confidence level and sample size.

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The area of the square is 49 in². (third option)

The area of the circle is 75.39 in². (fourth option)

The area of the shaded portion is 26.39 in².(first option)

A square is a quadrilateral with four equal sides.

Area of a square = length²

7² = 49 in²

A circle is a bounded figure which points from its center to its circumference is equidistant.

Area of a circle = πr²

Where :

3.14 x 4.9² = 75.39 in²

Area of the shaded portion = area of circle - area of square

75.39 in² - 49 in² = 26.39 in²

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Answer: [tex]10\sqrt[3]{210}[/tex] units, (about 59.4)

Step-by-step explanation:

a hemisphere is half a sphere.

the volume of a sphere is [tex]\frac{4}{3} \pi r^3[/tex]

since we need half of this, the volume of a hemisphere would be: [tex]\frac{4}{6} \pi r^3[/tex]

this simplified nicely to: [tex]\frac{2}{3} \pi r^3[/tex]

next, we want to find the radius, given the volume. So lets set up the equation.

[tex]140000\pi = \frac{2}{3} \pi r^3[/tex]

[tex]140000 = \frac{2}{3} r^3[/tex]    --- cancel a pi from both sides.

[tex]210000 = r^3[/tex] ---- multiply both sides by 3/2 to cancel the 2/3.

[tex]\sqrt[3]{210000 }= r[/tex] ---- take the cube root of both sides to find r

[tex]10\sqrt[3]{210} = r[/tex]

Thats the exact answer: the radius is [tex]10\sqrt[3]{210}[/tex] units.

a decimal approximation is about 59.4 units.

To discover the likelihood that a haphazardly chosen bat will final more than 70 days, we have to be standardize the esteem utilizing the standard typical conveyance. Ready to do this by calculating the z-score:

z = (70 - 60) / 5 = 2

Employing a standard typical dissemination table or calculator, we discover that the likelihood of a z-score more noteworthy than 2 is roughly 0.0228. Hence, the likelihood that a haphazardly chosen bat will final more than 70 days is around 0.0228.

To discover the rate of bats that fall flat to final the outlined sum of days (48-72), we have to be discover the region beneath the typical distribution curve to the cleared out of 48 and to the proper of 72 and include them together. This speaks to the likelihood of a bat enduring less than 48 days or more than 72 days.

To standardize the values of 48 and 72, we utilize the same equation as in portion (a):

z1 = (48 - 60) / 5 = -2.4

z2 = (72 - 60) / 5 = 2.4

Employing a standard ordinary conveyance table or calculator, we discover that the range to the cleared out of z1 is around 0.0082 and the region to the correct of z2 is additionally around 0.0082. Hence, the full likelihood of a bat falling flat to final between 48 and 72 days is roughly:

0.0082 + 0.0082 = 0.0164

To change over this to a rate, we duplicate by 100:

0.0164 * 100 = 1.64%

Hence, roughly 1.64% of bats come up short to final the outlined sum of days.

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Answer: No, it is not reasonable that 1 kilogram of coins would be worth more than a million dollars.

There are a few reasons why this is the case:

1. A kilogram of coins would contain 1000 grams. If each dollar coin weighs less than 10 grams, then a kilogram of dollar coins would contain more than 100 coins. Even if each coin were worth $1000 (which is much more than the face value of a dollar coin), 100 coins would only be worth $100,000.

2. In reality, each dollar coin is worth exactly $1. This means that a kilogram of dollar coins would be worth $1000, which is much less than a million dollars.

3. If Rena's estimate were true, then a single dollar coin would be worth more than $1000, which is clearly not the case.

Therefore, Rena's estimate is not reasonable.

Step-by-step explanation:

This is not reasonable.

Conversion could appear difficult, but this tip will make it simple for you to convert any unit. The fundamental rule is to multiply when converting from a larger unit to a smaller unit. Divide if you need to go from a smaller to a larger unit.

We have,

A dollar coin has a mass of a little less than 10 grams.

as, 1 Kg = 1000 gm

let a dollar coin mass be x.

So, x < 10 gm

and, 100x < 1000

Now, comparing 1000000 x < 1000000 gm

1000000 x < 1000 Kg

Thus, this is not reasonable.

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This statement is false. it was proved with advanced algebra that a doubled cube could never be constructed with a straightedge and compass. it is false.

Cube is a polygon having six faces. The volume of a cube is a side³

We have given that Doubling the volume of a given cube will require increasing each side length by the cube root of 2.

However, this value is not constructible, only a straightedge and compass.

Thus, This is not possible to construct a cube of twice the volume of a cube by using only a straightedge and compass.

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What most likely happened is that : Sandy's experimental probability was closest to the theoretical probability in the experiment with 3,000 flips.

During a coin toss trial, the probability of heads or tails is theoretically 50% for any outcome. Nevertheless, experimental probabilities exhibit convergence with theoretic probability over time as trials increase.

In Sandy's scenario, it follows that an experiment with more flips - precisely, 3,000 - would have a substantially higher chance of exhitibing experimental outcomes closest in percentage to the theoretical fraction of fifty-fifty proportionality than those conducted involving fewer combinations such as with only merely 80 and 800 flippages per iteration.

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It can be shown that PSL(2,7) has order 168, which is equal to 2^3 * 3 * 7. Since 7 is a prime and 2 and 3 are coprime to 7, it follows that PSL(2,7) is a simple group of order 168.

By Sylow's theorems, we know that there exist Sylow p-subgroup, Sylow q-subgroup, and Sylow r-subgroup in G. Let P, Q, and R be the respective Sylow p, q, and r-subgroups. Then by the Sylow's theorems, we have:

|P| = p^a for some positive integer a and p^a divides qr

|Q| = q^b for some positive integer b and q^b divides pr

|R| = r^c for some positive integer c and r^c divides pq

Since p, q, and r are distinct primes, it follows that p, q, and r are pairwise coprime. Therefore, we have:

p^a divides qr

q^b divides pr

r^c divides pq

Since p, q, and r are primes, it follows that p^a, q^b, and r^c are all prime powers. Therefore, we have:

p^a = q^b = r^c = 1 (mod pqr)

By the Chinese remainder theorem, it follows that there exists an element g in G such that:

g = 1 (mod P)

g = 1 (mod Q)

g = 1 (mod R)

By Lagrange's theorem, we have |P| = p^a divides |G| = pqr. Similarly, we have |Q| = q^b divides |G| and |R| = r^c divides |G|. Therefore, we have:

|P|, |Q|, |R| divide |G| and |P|, |Q|, |R| < |G|

Since |G| = pqr, it follows that |P|, |Q|, |R| are all equal to p, q, or r. Without loss of generality, assume that |P| = p. Then |G : P| = |G|/|P| = qr. Since qr is not a prime, it follows that there exists a nontrivial normal subgroup of G by the corollary of Lagrange's theorem. Therefore, G is not a simple group.

An example of a simple group of order pqr where p, q, and r are distinct primes is the projective special linear group PSL(2,7). It can be shown that PSL(2,7) has order 168, which is equal to 2^3 * 3 * 7. Since 7 is a prime and 2 and 3 are coprime to 7, it follows that PSL(2,7) is a simple group of order 168.

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A manufacturer of soap bubble liquid tests a new formula with a sample of 700 parisons. With a significance level of 0.05, the test results in a p-value of 0.206, leading to the conclusion that the new formula can be approved since the proportion of defective parisons does not exceed 7%. So, the correct option is A).

Let p be the true proportion of defective parisons in the population.

The null hypothesis is that the proportion of defective parisons is equal to or less than 7%, i.e., H0: p <= 0.07

The alternative hypothesis is that the proportion of defective parisons is greater than 7%, i.e., Ha: p > 0.07

Calculate the sample proportion and standard error

We are given that the sample size n = 700 and the number of defective parisons x = 55.

The sample proportion is P = x/n = 55/700 = 0.0786

The standard error of the sample proportion is

SE = √[(P(1-P))/n] = sqrt[(0.0786*0.9214)/700] = 0.0166

Calculate the test statistic

The test statistic for a one-tailed z-test is

z = (P - p) / SE

Here, we want to test if the proportion of defective parisons is greater than 7%, so we use the alternative hypothesis to calculate the z-value

z = (0.0786 - 0.07) / 0.0166 = 0.516

The p-value is the probability of getting a test statistic as extreme or more extreme than the observed value, assuming the null hypothesis is true. Since this is a one-tailed test, we need to find the area under the standard normal distribution curve to the right of z = 0.516.

Using a standard normal table or calculator, we find that the area to the right of z = 0.516 is 0.206.

The p-value of the test is 0.206, which is greater than the significance level of 0.05. Therefore, we fail to reject the null hypothesis and conclude that there is not enough evidence to suggest that the proportion of defective parisons is greater than 7%.

In other words, the new soap bubble liquid formula can be approved since the proportion of produced parisons with contents that do not allow bubbles to inflate does not exceed 7%. So, the correct answer is A).

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A percentile is a measure used in statistics to indicate the value below which a given percentage of observations fall. For example, if a data set has a 75th percentile value of 100, then 75% of the observations in the data set fall below the value of 100.

To find the 11th percentile for the given normal distribution with mean μ=58 and standard deviation σ=8, we need to use a standard normal distribution table or a calculator.

We can start by converting the given value to a z-score using the formula:

z = (X - μ) / σ

Where X is the value we want to find the percentile for, μ is the mean, and σ is the standard deviation.

Plugging in the values given, we get:

z = (X - 58) / 8

To find the z-score for the 11th percentile, we can use a standard normal distribution table or calculator to find the z-score associated with a cumulative probability of 0.11.

Using a calculator or table, we find that the z-score associated with a cumulative probability of 0.11 is -1.23.

We can now solve for X using the z-score formula:

z = (X - μ) / σ

-1.23 = (X - 58) / 8

Solving for X, we get:

X = -1.23 * 8 + 58 = 48.16

Therefore, the 11th percentile for this normal distribution is 48.16. This means that 11% of the observations in this distribution fall below the value of 48.16.

A Z-score represents the number of standard deviations an observation is from the mean of the distribution. The formula for calculating a Z-score is:

Z = (X - μ) / σ

In this case, you need to find the Z-score corresponding to the 11th percentile. To do this, you can refer to the Z-table, which provides the area (probability) to the left of a given Z-score. Look for the value closest to 0.11 (representing 11%) in the table. You will find that the Z-score associated with the 11th percentile is approximately -1.23.

Now, you can use the Z-score formula to solve for X:

-1.23 = (X - 58) / 8

To solve for X, perform the following calculations:

X - 58 = -1.23 * 8
X - 58 = -9.84
X = 58 - 9.84
X ≈ 48.16

So, the 11th percentile of the normally distributed random variable X with a mean of 58 and standard deviation of 8 is approximately 48.16.

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A shape is a triangle.Let q: A shape has four sides. The option that is true if the shape is a rectangle is D.) Q-->P

It should be noted that because a rectangle has four sides, q holds true for rectangles. However, because a rectangle is not a triangle, p is untrue.

As a result, for a rectangle, the assertion "Q implies P" or "if a shape has four sides, then it is a triangle" is untrue. As a result, option D is the correct answer, "Q implies P."

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Answer:

72 cm

Step-by-step explanation:

24cm x 3 = 72cm

A= 72cm

Answer:

27cm

Step-by-step explanation:

24=p w=x         L=3x

x+x+3x+3X=24

8X=24

X=3

w=3

L=9

3*9=27

A=27

At some point in our lives, we come across a moment that presents an opportunity to showcase our talents and abilities. This moment, often referred to as "our moment to shine," can be a turning point that propels us to greater heights of success and achievement. For me, such a moment came when I least expected it, and it changed the course of my life.

It was during my senior year of high school when I got the chance to compete in a regional public speaking competition. I had always been interested in public speaking and had participated in a few contests in the past, but this was different. This competition was going to be fierce, with participants from some of the most prestigious schools in the region. The pressure was high, and the stakes were even higher.

As the day of the competition approached, I found myself getting more and more nervous. I had prepared extensively, spending countless hours rehearsing my speech and polishing my delivery. But still, the thought of standing in front of a panel of judges and a large audience was daunting.

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The path y = y(x) that makes the integral stationary. To find the path y = y(x) for which the integral ∫x*sqrt(1 + (y'(x))^2) dx is stationary, we will use the following steps:

1. Identify the integrand: The integrand is the function inside the integral, which is F(x, y, y') = x*sqrt(1 + (y'(x))^2).

2. Apply the Euler-Lagrange equation: The Euler-Lagrange equation is used to find the stationary points of integrals, and it is given by the formula: dF/dy - d/dx(dF/dy') = 0.

3. Calculate the derivatives: First, find the partial derivatives of the integrand with respect to y and y':
  - dF/dy = 0 (since F does not contain y explicitly)
  - dF/dy' = x*(y'(x)/sqrt(1 + (y'(x))^2))

4. Apply the Euler-Lagrange equation: Now, substitute the derivatives into the Euler-Lagrange equation:
  - d/dx(x*(y'(x)/sqrt(1 + (y'(x))^2))) = 0

5. Solve the differential equation: To find y(x), solve the differential equation obtained in step 4. In this case, the equation is somewhat challenging to solve analytically, so we might need to rely on numerical methods or seek a simpler form for the problem.

By following these steps, you can find the path y = y(x) for which the given integral is stationary. However, as noted earlier, solving the resulting differential equation might require advanced techniques or simplification.

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[tex]cos^−1(cos(a))[/tex]  simplifies to 4π/3 where identity [tex]cos(cos^−1(x)) = x[/tex]  is used which implies that on the off chance that we take the inverse cosine of the cosine of an angle, we'll get back the initial angle (within the run [0, π]).

to begin with, [tex]cos^−1(cos(a)) = a[/tex], in the event that a is within the range [0, π].

In any case, in this case, a = 16π/3 radians, which is more prominent than 2π (i.e., a full circle), so we got to bring it back into the range [0, π]. We will do this by subtracting 2π from an until it is within the run [0, π]:

a = 16π/3 - 2π = 10π/3

Directly, we are ready to utilize the character[tex]cos(cos^−1(x)) = x[/tex] once more to rearrange the expression:

[tex]cos^−1(cos(a)) = cos^−1(cos(10π/3)) = 10π/3 - 2π = 4π/3[/tex]

Therefore,[tex]cos^−1(cos(a))[/tex] simplifies to 4π/3. 

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The series for E(X^2) diverges, the variance of X does not exist.

(a) To find the probability mass function of X, we need to calculate the probability of getting the first tail on the kth flip, for each k = 1,2,...

P(X = k) = Pr(Tail on kth flip) * Pr(Head on first k-1 flips)

= (k/(k+1)) * (1/(k+1-1)) * ((k+1)/k)^{k-1}

= (k/(k+1)) * (1/k) * ((k+1)/k)^{k-1}

= 1/(k * (k+1))

Therefore, the probability mass function of X is:

P(X = k) = 1/(k * (k+1)), for k = 1,2,...

(b) To find the mean E(X), we can use the formula:

E(X) = ∑ k * P(X = k), where the summation is over all possible values of X.

E(X) = ∑_{k=1}^∞ k * (1/(k * (k+1)))

= ∑_{k=1}^∞ (1/k - 1/(k+1))

= 1

To find the variance Var(X), we can use the formula:

Var(X) = E(X^2) - (E(X))^2

E(X^2) = ∑ k^2 * P(X = k), where the summation is over all possible values of X.

E(X^2) = ∑_{k=1}^∞ k^2 * (1/(k * (k+1)))

= ∑_{k=1}^∞ (k/(k+1) + 1/(k+1))

= ∑_{k=1}^∞ (1 + 1/k)

  (we split the fraction k/(k+1) into 1 + 1/(k+1))

  = ∞  (diverges)

Since the series for E(X^2) diverges, the variance of X does not exist.

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Step-by-step explanation:

which of the principles and the question is not clear i saw something different before i clicked on it

Answer:

[tex] \dfrac{x^2 + 2x}{(x + 1)^2} [/tex]

Step-by-step explanation:

[tex] f(x) = \dfrac{x^2}{x + 1} [/tex]

[tex] \dfrac{d}{dx} \dfrac{x^2}{x + 1} = [/tex]

[tex] = \dfrac{d}{dx} [(x^2)(x + 1)^{-1}] [/tex]

[tex]= (x^2)(-1)(x + 1)^{-2} + (x + 1)^{-1}(2x)[/tex]

[tex] = \dfrac{-x^2}{(x + 1)^{2}} + \dfrac{2x}{x + 1} [/tex]

[tex] = \dfrac{-x^2}{(x + 1)^{2}} + \dfrac{2x^2 + 2x}{(x + 1)^2} [/tex]

[tex] = \dfrac{x^2 + 2x}{(x + 1)^2} [/tex]

Brayne can purchase 5 used video games after the purchase of 3 new video games.

Let us assume

Cost of each used video game = x

Cost of each new video game = y

Now, Yafreisy spent a total of $84 on 4 used video games and 2 new video games.

4x+ 2y = 84......(i)

and, Ashley spent a total of $78 on 6 used video games and 1 new video game.

6x + y = 78......(ii)

Solving equation (1) and (2) we get

x=9 and y= 24

Thus, Byran can purchase

= 48/9

= 5.4

Therefore, Brayne can purchase 5 used video games after the purchase of 3 new video games.

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The Question attached here seems to be incomplete, the complete question is:

A store sells used and new video games. New video games cost more than used video games. All used video games cost the same and all new video games also cost the same. Yafreisy spent a total of $84 on 4 used video games and 2 new video games. Ashley spent a total of $78 on 6 used video games and 1 new video game. Brayan has $120 to spend. How many used video games can Brayan purchase after purchasing 3 new video games?

The description of the parabola of the quadratic function is:

It opens downwards and is thinner than the parent function

The general formula for expressing a quadratic equation in standard form is:

y = ax² + bx + c

Quadratic equation In vertex form is:

y = a(x − h)² + k .

In both forms, y is the y -coordinate, x is the x -coordinate, and a is the constant that tells you whether the parabola is facing up ( + a ) or down ( − a ), (h, k) are coordinates of the vertex

In this case, a is negative and as such it indicates that it opens downwards and is thinner than the parent function

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The zero vector in P4 is the polynomial 0(x) = 0, which has even degree. The set of all polynomials in P4 of even degree is closed under addition.

The set of all polynomials in P4 of even degree satisfies all three conditions, it is a subspace of P4.

(a) The set of all polynomials in P4 of even degree is a subspace of P4.

To prove this, we need to show that it satisfies the three conditions for a subspace:

i) It contains the zero vector: The zero vector in P4 is the polynomial 0(x) = 0, which has even degree, so it is contained in the set of all polynomials in P4 of even degree.

ii) It is closed under addition: Let p(x) and q(x) be two polynomials in P4 of even degree. Then, p(x) + q(x) is also a polynomial of even degree, since the sum of two even numbers is even. Therefore, the set of all polynomials in P4 of even degree is closed under addition.

iii) It is closed under scalar multiplication: Let p(x) be a polynomial in P4 of even degree, and let c be a scalar. Then, cp(x) is also a polynomial of even degree, since multiplying an even number by a scalar yields an even number. Therefore, the set of all polynomials in P4 of even degree is closed under scalar multiplication.

Since the set of all polynomials in P4 of even degree satisfies all three conditions, it is a subspace of P4.

(b) The set of all polynomials of degree 3 is not a subspace of P4.

To prove this, we only need to show that it does not satisfy the first condition for a subspace:

i) It contains the zero vector: The zero vector in P4 is the polynomial 0(x) = 0, which has degree 0, not degree 3. Therefore, the set of all polynomials of degree 3 does not contain the zero vector and is not a subspace of P4.

(c) The set of all polynomials p in P4 such that p(0) = 0 is a subspace of P4.

To prove this, we need to show that it satisfies the three conditions for a subspace:

i) It contains the zero vector: The zero vector in P4 is the polynomial 0(x) = 0, which satisfies 0(0) = 0, so it is contained in the set of all polynomials p in P4 such that p(0) = 0.

ii) It is closed under addition: Let p(x) and q(x) be two polynomials in P4 such that p(0) = 0 and q(0) = 0. Then, (p+q)(0) = p(0) + q(0) = 0, so p+q is also a polynomial in P4 such that (p+q)(0) = 0. Therefore, the set of all polynomials p in P4 such that p(0) = 0 is closed under addition.

iii) It is closed under scalar multiplication: Let p(x) be a polynomial in P4 such that p(0) = 0, and let c be a scalar. Then, (cp)(0) = c(p(0)) = c(0) = 0, so cp is also a polynomial in P4 such that (cp)(0) = 0. Therefore, the set of all polynomials p in P4 such that p(0) = 0 is closed under scalar multiplication.

Since the set of all polynomials p in P4 such that p(0) = 0 satisfies all three conditions, it is a subspace of P4.

(d) The set of all polynomials in P4 having at least one real root is not a subspace of P4.

To prove this, we only need

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The 95% confidence interval for the difference between the mean amounts of caffeine is C.I = (-1.36, 7.36) and the p-value for this test is  0.169.

In statistics, a confidence interval describes the likelihood that a population parameter would fall between a set of values for a given percentage of the time. Confidence ranges that include 95% or 99% of anticipated observations are frequently used by analysts.

Therefore, it can be concluded that there is a 95% probability that the true value falls within that range if a point estimate of 10.00 is produced from a statistical model with a 95% confidence interval of 9.50 - 10.50.

a) We will set up the null hypothesis that

[tex]H_{0}: \mu_{1} = \mu_{2}[/tex]          Vs

Ha

Under the null hypothesis the test statistics is.

(T1-T2) 7t 7t

Where  (nl+ n2- 2)

Also we are given that

 T1 80  ,  12 77 , 721 15  ,     n2- 12   ,  5    and    [tex]S_{2}[/tex] = 6

[tex]\therefore S^2=\frac{(15-1)5^2+(12-1)6^2}{(15+12-2)}=5.4626[/tex]

n1 n2

[tex]C.I=(15-12)\pm 2.060*5.4626\sqrt{\frac{1}{15}+\frac{1}{12}}[/tex]

C.I = (-1.36, 7.36)

b) Also under null hypothesis

[tex]t=\frac{(\bar{x }_{1}-\bar{x }_{2})-(\mu _{1}-\mu _{2})}{S^{2}\sqrt{\frac{1}{n_{1}}+\frac{1}{n_{2}}}}[/tex]

[tex]t=\frac{(15-12)-0}{5.4626\sqrt{\frac{1}{15}+\frac{1}{12}}}[/tex]

t=1.42

Also corresponding   P-Value = 0.169

Since calculated P-Value = 0.169 which is greater then 0.05 we accept our null hypothesis and concludes that there is no difference in the mean amount of caffeine of these two brands.

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Cohen's d is 0.44, which suggests a medium effect size

Null hypothesis: H0: µ = 4.5 and Alternative hypothesis: Ha: µ > 4.5 (one-tailed test)

The sample mean is M = 5.2 and the sample size is n = 31. The population standard deviation is unknown, so we use the t-distribution.

The standard error of the mean is:

[tex]SE=\frac{\sqrt{\frac{SS}{n-1} } }{\sqrt{n} } = \frac{\sqrt{\frac{-170}{30} } }{\sqrt{31} } = 0.328[/tex]

The t-statistic is:

[tex]t= (\frac{M-µ}{SE}) = (\frac{5.2-4.5}{0.328}) = 2.13[/tex]

Using a one-tailed t-test with a .01 level of significance and 30 degrees of freedom, the critical value is 2.756. Since the obtained t-value (2.13) is less than the critical t-value (2.756), we fail to reject the null hypothesis.

Since we failed to reject the null hypothesis, we cannot conclude that the medication significantly increased flexibility.

Cohen's d can be calculated as:

[tex]d= \frac{(M-µ}{SD} = \frac{5.2-4.5}{\sqrt{\frac{SS}{n-1} } } = \frac{0.84}{1.9} = 0.44[/tex]

Therefore, Cohen's d is 0.44, which suggests a medium effect size.

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Answer:

[tex]\Large \boxed{\boxed{\textsf{$7x+6y$}}}[/tex]

Step-by-step explanation:

To simplify this expression, we can 'collect like terms'. This is a way of simplifying algebraic expressions that involves combining terms with the same base pronumeral, and adding or subtracting them together.

First, we might start by rearranging the expression to make it more convenient:

[tex]\large \textsf{$4x+3x+7y-y$}[/tex]

Now, we collect the like terms:

[tex]\large \textsf{$7x+6y$}[/tex]

[tex]\large \textsf{$\therefore$ the simplified expression is: $\boxed{7x+6y}$}[/tex]

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A teacher asked Dwayne to find the values of x and y in the triangles shown. The teacher provided the following information about the triangles. Triangle ABC is similar to triangle PQR. In triangle ABC, cos(C) = 0.92. Dwayne claims that the value of x can be determined.

Hence, the correct option is A.

Since triangles ABC and PQR are similar, their corresponding angles are congruent and their corresponding sides are proportional. Therefore, we can set up the following proportion we get

AB/BC = PQ/QR

We can also use the cosine law to relate the angle C in triangle ABC to the length of side AB and BC.

cos(C) = ([tex]AB^2 + BC^2 - AC^2[/tex])/(2AB*BC)

We are given that cos(C) = 0.92, and we know that AC = 20, AB = x, and BC = y, so we can substitute these values into the cosine law we get

0.92 = ([tex]x^2 + y^2[/tex] - 400)/(2xy)

Simplifying this equation, we get

([tex]x^2 + y^2[/tex] - 400) = 1.84xy

We can also use the given information to relate x and y we get

cos(R) = y/45

However, we cannot use this equation to solve for y because we do not know the value of cos(R).

Therefore, Dwayne is correct in claiming that we can determine the value of x using the cosine law, but we cannot determine the value of y with the information provided.  His claim is correct because cos(C) = x/20 and 0.92 can be substituted for cos(C), but the cosine of angle R is not given for triangle PQR.

Hence, the correct option is A.

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Answer:

70/200

Step-by-step explanation:

1/8+1/20

5/40+2/40

70/200

Answer:

the answer isnt on there but i got 27/40.....

Step-by-step explanation:

1 cake + 4 kids = 4 pieces of cake

Ana ( one full piece)  + Benito ( one full piece) = 2/4 or 1/2

so we already know half the cake is gone.

Carlos ate half, so 1/2 of 1/4 equals 1/8

Diana ate 1/5 of her's, so 1/5 of 1/4 equals 1/20

now, we add.

1/4 + 1/4 + 1/8 + 1/20 = 27/40