What is the mean of the data represented by the stem and
leaf plot above?
Hint: Use the key to determine the individual values
Sum of the data
MEAN=# of data values
A 57
B 108.75
C 309

As per the standard deviation, the area of the shaded region is 0.7619 (option c).

In this case, we know that the mean IQ score is 100, and the standard deviation is 15. This means that the majority of people have an IQ score close to 100, and the further away from 100 someone's score is, the less common it is.

Let's say the lower value of the shaded region is x1 and the upper value is x2. We can find the z-scores for these values:

z1 = (x1 - 100) / 15

z2 = (x2 - 100) / 15

Without knowing the specific values of x1 and x2, we can't calculate the exact probability. However, we can eliminate some of the answer choices based on the fact that the probability should be between 0 and 1.

If one of the answer choices is greater than 1, we know that it's incorrect. Similarly, if one of the answer choices is negative, we know that it's incorrect because probabilities can't be negative.

By process of elimination, we can see that the only answer choice that falls within the range of 0 to 1 is 0.7619.

Therefore, the correct answer is option (c).

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Answer:

y > -x - 2

Step-by-step explanation:

First pick 2 points and find the slope of the line, m:  (-2, 0) and (0, -2)

m = (-2 - 0) / (0 - -2) = -2/2 = -1

y-intercept = b = -2

y > mx + b > -x - 2

The property used for the steps are:

D. Distributive property

B. Subtraction property of equality

A. Addition property of equality

C. Division property of equality

From the question, we are to identify the property that was used to solve each step

The giving solution is:

2(5x -7) = 2x + 10

10x - 14 = 2x + 10

-2x           -2x

8x - 14 = 10

   + 14  + 14

8x / 8 = 24 /8

x = 3

Solving the equation

2(5x -7) = 2x + 10

Apply the distributive property

10x - 14 = 2x + 10

Apply the subtraction property of equality (Subtract 2x from both sides)

10x -2x - 14 = 2x - 2x + 10

8x - 14 = 10

Apply the addition property of equality (Add 14 to both sides)

8x - 14  + 14 = 10 + 14

8x = 24

Apply the division property of equality (Divide both sides by 8)

8x/8 = 24/8

x = 3

Hence,

The properties are:

Distributive property

Subtraction property of equality

Addition property of equality

Division property of equality

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a) The proportion of the class with a midterm mark less than 75 is about 30.85%.

b) The probability of a class of 50 having an average midterm mark that is less than 75 is about 0.0002 or 0.02%.

a. To answer this question, we need to use the standard normal distribution formula. We convert the value of 75 to a z-score using the formula: z = (x - μ) / σ, where x is the value we want to find the proportion for, μ is the mean, and σ is the standard deviation.

So, z = (75 - 78) / 6 = -0.5.

Using a standard normal distribution table or calculator, we can find that the proportion of the class with a midterm mark less than 75 is about 30.85%.

b. To answer this question, we need to use the central limit theorem, which states that the sample means of large samples (n ≥ 30) from any population will be approximately normally distributed with a mean equal to the population mean and a standard deviation equal to the population standard deviation divided by the square root of the sample size (σ / √n).

So, the mean of the sample means is still 78, but the standard deviation is now 6 / √50 = 0.848.

We need to find the z-score of the sample mean that corresponds to a midterm mark of less than 75, using the formula: z = (x - μ) / (σ / √n), where x is the sample mean.

So, z = (75 - 78) / (0.848) = -3.54.

Using a standard normal distribution table or calculator, we can find that the probability of a class of 50 having an average midterm mark that is less than 75 is about 0.0002 or 0.02%.

a. To find the proportion of the class with a midterm mark less than 75, we can use the Z-score formula: Z = (X - μ) / σ, where X is the score (75), μ is the mean (78), and σ is the standard deviation (6).

Z = (75 - 78) / 6 = -0.5

Now, we can look up the Z-score of -0.5 in a standard normal distribution table or use a calculator to find the proportion. The proportion of students with a midterm mark less than 75 is approximately 0.3085 or 30.85%.

b. To find the probability that a class of 50 has an average midterm mark less than 75, we will use the concept of the sampling distribution of the sample mean. The standard deviation of the sampling distribution (standard error) is calculated as σ / √n, where n is the sample size (50).

Standard error = 6 / √50 ≈ 0.85

Now, we can calculate the Z-score for the sample mean: Z = (75 - 78) / 0.85 ≈ -3.53

Using the standard normal distribution table or calculator, we find the probability to be approximately 0.0002 or 0.02%. So, there is a 0.02% probability that a class of 50 has an average midterm mark less than 75.

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The fourth vertex needed to create a rectangle with the given vertices must be the point that completes the rectangle by forming a right angle with the point (-5, -7).

The distance between (-17, -7) and (-5, -7) is 12 units, so the fourth vertex must be located 12 units above (-17, 15) on the y-axis.

Therefore, the fourth vertex is O(-17, 27).

None of the given options match this point, so none of them are correct.

Answer: A.(-5, 15)

Step-by-step explanation:

The surface area of the cylinder is approximately 43,098.41 square yards.

The first step is to find the radius of the cylinder, which can be calculated by dividing the circumference by 2π

radius = circumference / (2π) = 516.24 yards / (2 × 3.14) ≈ 82.27 yards

Once we have the radius, we can use the formula for the surface area of a cylinder

surface area = 2πr² + 2πrh

where r is the radius and h is the height.

Plugging in the values we have

surface area = 2 × 3.14 × 82.27² + 2 × 3.14 × 82.27 × 10

Do the arithmetic operation

surface area ≈ 43,098.41 square yards

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Answer:

Step-by-step explanation:

Answer: A 1:5

Step-by-step explanation:

First, we will pull details from the passage that we need.

   ➜ 35 total students

   ➜ 7 students take Latin

   ➜ The ratio will be the number of students who take Latin to the total number of students

Next, we will write our ratio.

   The number of students who take Latin : the total number of students

   7 : 35

Lastly, we will simplify. 7 and 35 are both divisible by a factor of 7.

   1 : 5

   A 1:5

The smaller number is approximately 89.09, and the larger number is approximately 1.2 times that, or approximately 106.91.

We have,

Let's call the smaller number "x".

Since the other number is 20% more than the smaller number, the larger number can be represented as:

x + 0.2x = 1.2x

We know that the sum of the two numbers is 196, so we can set up the equation:

x + 1.2x = 196

Simplifying the left side of the equation, we get:

2.2x = 196

Dividing both sides by 2.2, we get:

x = 89.09 (rounded to two decimal places)

Therefore,

The smaller number is approximately 89.09, and the larger number is approximately 1.2 times that, or approximately 106.91.

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The ratios are given as follows:

The ratio between two amounts a and b is given by the division of these two amounts as follows:

a to b = a:b.

Hence the ratios are given as follows:

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The probability that Sheri is chosen first and Nikita is chosen second is 1/756.

The probability of Sheri being chosen first is 1/28, since there are 28 contestants and each one has an equal chance of being chosen first.

After Sheri has been chosen, there are 27 remaining contestants, so the probability of Nikita being chosen second is 1/27, since there are now only 27 contestants left and each one has an equal chance of being chosen second.

To find the probability of both events happening together (Sheri being chosen first and Nikita being chosen second), we multiply the probabilities of each event

= 1/28 x 1/27

Multiply the numbers

= 1/756

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Answer:

Step-by-step explanation:

There are a total of 13 puppies in the store, including 4 poodles. Since Rebecca and Aaron are selecting with replacement, the probability of each selection is the same for both of them, and we can treat their selections as independent events.

The probability that Rebecca selects a poodle is 4/13, since there are 4 poodles out of 13 puppies.

The probability that Aaron also selects a poodle on his turn is also 4/13, since we are selecting with replacement and the probabilities are the same for each selection.

The probability of both events happening together (Rebecca and Aaron selecting a poodle) is the product of their individual probabilities:

P(both select a poodle) = P(Rebecca selects a poodle) * P(Aaron selects a poodle)

P(both select a poodle) = (4/13) * (4/13)

P(both select a poodle) = 16/169

Therefore, the probability that both Rebecca and Aaron select a poodle is 16/169.

Answer:

Function and Scatter plot

Step-by-step explanation:

A function has one domain paired with exactly one range. That's why there's a vertical line test.

A scatter plot is a type of graph that displays the relationship between two variables or sets of data. The plot consists of individual data points that are plotted on a horizontal and vertical axis, where each axis represents one of the variables being compared.

Answer:

The correct answer is x = 1 and x = -3. To solve this equation using the factoring method, we need to factor the left side of the equation. This gives us (2x + 3)(x - 1) = 0. We then set each factor equal to 0 and solve for x. This gives us x = 1 and x = -3.

Is there anything else I can help you with?

To find the t-statistic for the given percentiles, we need to know the sample mean, sample standard deviation, and degrees of freedom (df). Assuming that we are dealing with a sample of size 55, we can use the t-distribution to calculate the t-statistics.

(a) To find the t-statistic for the 45th percentile, we first need to find the corresponding t-score. Using a t-distribution table or a calculator, we can find that the t-score for the 45th percentile with 54 degrees of freedom is approximately -0.1812.

Next, we can use the formula for calculating the t-statistic:

t = (x - μ) / (s / √n)

where x is the sample percentile, μ is the population mean (which is unknown), s is the sample standard deviation, and n is the sample size.

Since we don't know the population mean, we can use the sample mean as an estimate. Let's assume that the sample mean is 10 and the sample standard deviation is 2. Then, the t-statistic for the 45th percentile can be calculated as:

t = (x - μ) / (s / √n) = (0.45 - 10) / (2 / √55) ≈ -10.03

Therefore, the t-statistic for the 45th percentile is approximately -10.03.

(b) To find the t-statistic for the 95th percentile, we first need to find the corresponding t-score. Using a t-distribution table or a calculator, we can find that the t-score for the 95th percentile with 54 degrees of freedom is approximately 1.6759.

Next, we can use the same formula for calculating the t-statistic:

t = (x - μ) / (s / √n)

Assuming that the sample mean is still 10 and the sample standard deviation is 2, the t-statistic for the 95th percentile can be calculated as:

t = (x - μ) / (s / √n) = (0.95 - 10) / (2 / √55) ≈ -26.97

Therefore, the t-statistic for the 95th percentile is approximately -26.97.

As the length of confidence interval for population mean decreases, degree of confidence in interval's actually containing population mean is option b. increases.

This is because the length of the confidence interval is determined by the level of confidence and the sample size.

With a larger sample size leading to a narrower interval.

As the interval becomes narrower, it becomes more precise and therefore more likely to contain the population mean.

So, if keep the same level of confidence and increase the sample size.

The confidence interval will become narrower, increasing our degree of confidence in its ability to contain the population mean.

Conversely, if keep the same sample size and decrease the level of confidence, the interval will also become narrower.

But will be less confident in its ability to contain the population mean.

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a) The length of the projection of vector B onto vector A is sqrt(7/2).

b) The length of the projection of vector A onto vector B is sqrt(455/361).

c) The scalar projection of vector B onto vector A is (7 / sqrt(14)).

d) The vector projection of vector A onto vector B is (35/38, -21/38, 7/19).

e) The projection of vector B onto vector A is (3/2, 1, -1/2).

a. To find the length of the projection of vector B onto vector A, we first need to find the projection vector P of B onto A. The projection vector P is given by:

P = (B dot A / [tex]||A||^{2}[/tex] ) * A

where "dot" represents the dot product of two vectors and ||A|| is the magnitude of vector A.

The dot product of vectors A and B is given by:

A dot B = (3 * 5) + (2 * -3) + (-1 * 2) = 15 - 6 - 2 = 7

The magnitude of vector A is:

||A|| = [tex]\sqrt{3^{2}+2^{2}+(-1)^{2} }[/tex] = [tex]\sqrt{14}[/tex]

Substituting these values into the formula for the projection vector P, we get:

P = (7 / 14) * (3, 2, -1) = (3/2, 1, -1/2)

The length of the projection of vector B onto vector A is simply the magnitude of the projection vector P. That is:

||P|| = [tex]\sqrt{(3/2)^{2}+1^{2}+(-1/2)^{2} }[/tex] = [tex]\sqrt{7/2}[/tex]

b. To find the length of the projection of vector A onto vector B, we follow the same procedure as above, but with the roles of A and B reversed. That is, we need to find the projection vector Q of A onto B, which is given by:

Q = (A dot B / [tex]||B||^{2}[/tex]) * B

The dot product of vectors A and B is the same as above, which is 7. The magnitude of vector B is:

||B|| = [tex]\sqrt{5^{2}+(-3)^{2}+2^{2} }[/tex] = [tex]\sqrt{38}[/tex]

Substituting these values into the formula for the projection vector Q, we get:

Q = (7 / 38) * (5, -3, 2) = (35/38, -21/38, 7/19)

The length of the projection of vector A onto vector B is the magnitude of the projection vector Q, which is:

||Q|| = [tex]\sqrt{(35/38)^{2}+(-21/38)^{2}+(7/19)^{2} }[/tex] = [tex]\sqrt{455/361}[/tex]

c. The scalar projection of vector B onto vector A is given by:

B scalar projection A = (B dot A) / ||A||

where "dot" represents the dot product of two vectors and ||A|| is the magnitude of vector A.

The dot product of vectors A and B is given by:

A dot B = (3 * 5) + (2 * -3) + (-1 * 2) = 15 - 6 - 2 = 7

The magnitude of vector A is:

||A|| = [tex]\sqrt{3^{2}+2^{2}+(-1)^{2} }[/tex]=    [tex]\sqrt{14}[/tex]

Substituting these values into the formula for the scalar projection, we get:

B scalar projection A = (7 /   )

d. The vector projection of vector A onto vector B is given by:

A vector projection B = (A dot B /  [tex]||B||^{2}[/tex]) * B

The dot product of vectors A and B is given by:

A dot B = (3 * 5) + (2 * -3) + (-1 * 2) = 15 - 6 - 2 = 7

The magnitude of vector B is:

||B|| =  [tex]\sqrt{5^{2}+(-3)^{2}+2^{2} }[/tex] = [tex]\sqrt{38}[/tex]

Substituting these values into the formula for the vector projection, we get:

A vector projection B = (7 / 38) * (5, -3, 2) = (35/38, -21/38, 7/19)

e. The projection of vector B onto vector A is given by:

B projection A = (B dot A / [tex]||A||^{2}[/tex] ) * A

The dot product of vectors A and B is given by:

A dot B = (3 * 5) + (2 * -3) + (-1 * 2) = 15 - 6 - 2 = 7

The magnitude of vector A is:

||A|| =  [tex]\sqrt{3^{2}+2^{2}+(-1)^{2} }[/tex]=    [tex]\sqrt{14}[/tex]

Substituting these values into the formula for the projection, we get:

B projection A = (7 / 14) * (3, 2, -1) = (3/2, 1, -1/2)

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Answer:

D is correct.

Step-by-step explanation:

In this survey of 80 people, 28 prefer camping, and 14 prefer water sports.

80 × 2.5 = 200, so for the next 200 people, we expect 70 people to prefer camping, and 35 people to prefer water sports. So D is the correct prediction.

Answer: the answer is /

Step-by-step explanation: due to the placement of the dots and how many there are there is 40 dots in total. which is the equivalent pixels to a backspace, therefore the answer is /

Answer:

[tex]\dfrac{n^2 - 6}{n^2 - 2}[/tex]

[tex] n \neq \pm \sqrt{5} [/tex]

[tex] n \neq \pm \sqrt{2} [/tex]

Step-by-step explanation:

[tex] \dfrac{n^4 - 11n^2 + 30}{n^4 - 7n^2 + 10} = [/tex]

[tex] = \dfrac{(n^2 - 5)(n^2 - 6)}{(n^2 - 5)(n^2 - 2)} [/tex]

[tex]= \dfrac{n^2 - 6}{n^2 - 2}[/tex]

The factor of the denominator that was removed is n^2 - 5.

Restrictions:

[tex] n \neq \pm \sqrt{5} [/tex]

From the factor remaining in the denominator, we get

[tex] n \neq \pm \sqrt{2} [/tex]

Answer:

[tex]\dfrac{n^2 - 6}{n^2 - 2}[/tex]

[tex] n \neq \pm \sqrt{5} [/tex]

[tex] n \neq \pm \sqrt{2} [/tex]

The potential areas for Franklin's garden are 144ft², 36ft² and 196ft² hence options (b), (e), and (f) are correct.

To find the potential areas for Franklin's square garden, we need to find the perfect squares that can be expressed as the product of two identical whole numbers. These perfect squares will represent the areas of the square gardens with whole number side lengths,

a) 20 ft² = 2 x 2 x 5 = (2 x 2) x 5 = 4 x 5, not a perfect square

b) 144 ft² = 12 x 12 = (12 x 12), a perfect square

c) 1,000 ft² = 10 x 10 x 10 = (10 x 10) x 10 = 100 x 10, not a perfect square

d) 300 ft² = 10 x 10 x 3 = (10 x 10) x 3 = 100 x 3, not a perfect square

e) 36 ft² = 6 x 6 = (6 x 6), a perfect square

f) 196 ft² = 14 x 14 = (14 x 14), a perfect square

Therefore, the potential areas for Franklin's garden are 144 ft², 36 ft², and 196 ft². So, options (b), (e), and (f) are the potential areas for Franklin's square garden with whole number side lengths.

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Answer: C - If the null hypothesis is true, the probability of observing a test statistic pf 1.592 or greater is 0.059

Step-by-step explanation:

The correct interpretation of the p-value is option C. If the null hypothesis is true, the probability of observing a test statistic of 1.592 or greater is 0.059.

In hypothesis testing, the p-value helps us determine the likelihood of obtaining a test statistic at least as extreme as the one observed, assuming the null hypothesis is true. In this case, the null hypothesis (H₀) states that B1 = 0, meaning there is no relationship between the number of times a song is listened to and recording sales. The alternative hypothesis (H₁) states that B1 > 0, suggesting a positive linear relationship between the variables. Since the test is one-tailed and we are testing for a positive relationship, we are looking for a test statistic of 1.592 or greater.

Based on the given p-value of 0.059, we can conclude that if the null hypothesis is true, there is a 5.9% chance of observing a test statistic of 1.592 or greater. This helps us to assess the strength of the evidence against the null hypothesis and make a decision whether to reject or fail to reject it based on a chosen significance level.

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The angle of elevation of the sun will be 65.56 degrees.

Given that:

Height, h = 297 feet

Shadow, x = 135 feet

It's a form of a triangle with one 90-degree angle that follows Pythagoras' theorem and can be solved using the trigonometry function.

Trigonometric functions examine the interaction between the dimensions and angles of a triangular form.

The angle of elevation of the sun will be given as,

tan θ = 297 / 135

tan θ = 2.2

θ = 65.56°

The angle of elevation of the sun will be 65.56 degrees.

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Answer: The answer is 5.6+1/2= 6.1 squared.

Step-by-step explanation: Please give Brainliest.

Hope this helps!!!!

I will answer more.

The optimal solution is to produce 4 units of X and 2 units of Y, which will result in a profit of $28.

In this problem, we are trying to maximize the profit function, which is given by:

Profit = $4X + $6Y

We are subject to two constraints:

Constraint 1: X + 2Y < 8 hours

Constraint 2: 6X + 4Y < 24 hours

To graph these constraints, we first need to rewrite them in slope-intercept form:

Constraint 1: Y < (-1/2)X + 4

Constraint 2: Y < (-3/2)X + 6

We can then plot these two lines on a graph, as shown below:

The feasible region is the shaded area that satisfies both constraints. We can find this region by testing points on either side of each line, and checking if they satisfy both constraints. Alternatively, we can use the vertices of the feasible region, which are the points where the two constraint lines intersect.

Using the latter method, we can find the vertices of the feasible region to be:

Vertex 1: (0, 4)

Vertex 2: (2, 3)

Vertex 3: (4, 2)

Vertex 4: (4, 0)

Vertex 5: (0, 0)

We can now plot the objective function on the same graph, as shown below:

The optimal solution is the point in the feasible region that maximizes the profit function. From the graph, we can see that this point is at vertex 3, which corresponds to X = 4 and Y = 2.

Therefore, optimal solution is to produce 4 units of X and 2 units of Y, which will result in a profit of $28.

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Complete Question:

Graphically analyze the following problem:

Maximize profit = $4X + $6Y

Subject to X + 2Y < 8 hours

6X + 4Y < 24 hours

(a) what is the optimal solution?

Answer:

  13.6°

Step-by-step explanation:

You want to know the angle of depression that results in a 1267 ft drop for a zip line of length 5400 ft.

The sine relation tells you ...

  Sin = Opposite/Hypotenuse

In this problem, the geometry is that of a right triangle with hypotenuse 5400 feet and the angle of interest opposite a side of length 1267 ft. That means ...

  sin(α) = 1267/5400

  α = arcsin(1267/5400) ≈ 13.6°

The angle of depression is about 13.6°.

The lengths of the side marked x obtained using the proportional relationship between the lengths of corresponding sides of similar figures is x = 3 cm

Similar figures are figures that have the same shape but may have variation in size.

The relative location of the angles on the possible figure in the question, obtained from a similar figure on the net indicates, that we get;

The corresponding side lengths are;

The 16 cm long side on the large shape corresponds to 10 cm long side on the smaller similar shape

The 4.8 cm long side on the large shape corresponds to x cm long side on the smaller similar shape

The equivalent ratio of the corresponding sides of the similar figures indicates;

10/16 = x/4.8

x = 4.8 × 10/16 = 3

The length of the side marked x is 3 units

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The expected value of the dog show for Shelly and King when prize of first place is $1200 with probability of winning is 15% is $180.

Prize of first place is equal to $1200

Probability of winning is equal to 15%

The expected value of an event is the sum of the products of the possible outcomes and their respective probabilities.

In this case, the event is King winning first place in the dog show, with a prize of $1200.

The probability of King winning is 15%, or 0.15.

This implies,

The expected value of the dog show for Shelly and King is,

= (Prize for first place) x (Probability of winning) + (Prize for not winning) x (Probability of not winning)

= ($1200) x (0.15) + ($0) x (0.85)

= $180

This means that if Shelly enters King in the dog show many times under the same conditions.

The average prize money she can expect to win over the long run is $180 per show.

Therefore, the expected value of the dog show for Shelly and King is $180.

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