Suppose that a department contains 11 men and 15 women. How many ways are there to form a committee with six members if it must have more women than men

The probability of choosing a diamond on the first draw is 13/52 (since there are 13 diamonds in a standard deck). Then, there are 25 black cards remaining out of 51 total cards.

Therefore, the probability of choosing a black card on the second draw, given that a diamond was already chosen and without replacement, is 25/51. To find the probability of both events occurring, we multiply their individual probabilities:
(13/52) x (25/51) = 325/2652 .

Therefore, the probability of choosing a diamond and then, without replacement, a black card is approximately 0.123 or 12.3%.

1. Probability of choosing a diamond: There are 13 diamonds in a deck of 52 cards, so the probability is 13/52 or 1/4.
2. Probability of choosing a black card after drawing a diamond: Since one card has been removed, there are now 51 cards left, with 26 black cards remaining. The probability is 26/51.

Now multiply these probabilities together: (1/4) * (26/51) = 26/204 or 13/102. So, the probability of choosing a diamond and then a black card without replacement is 13/102.

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Answer:

a. area = 78.5

circumference = 31.4

b. area = 113.04

circumference = 37.68

Step-by-step explanation:

To find the area use:

Area = pi • r^2

They said to use 3.14 for pi.

Area = 3.14r^2

For part a, the diameter is given, 10. Radius is half of diameter. Radius is 5.

Area = 3.14•5^2

= 3.14•25

= 78.5

Same formula for area for part b. But the radius is given, 6.

area = 3.14•6^2

= 3.14 • 36

= 113.04

Circumference is

C = pi•d

part a the diameter is 10.

C = pi • 10

= 3.14 • 10

= 31.4

for part b, double the radius to find the diameter. Radius is 6, so diameter is 12.

C = pi • d

= 3.14 • 12

= 37.68

The triple integral of the given solid is equal to (2/3) pi.

To evaluate the triple integral of a solid bounded by the cylinder and the planes in the first octant, we need to break down the integral into three separate integrals for each variable x, y, and z.

Firstly, we can determine the limits of integration for each variable by looking at the boundaries of the solid. The cylinder is defined by the equation [tex]x^{2}[/tex] + [tex]y^{2}[/tex] = 4, while the planes are defined by z = 0, x = 0, and y = 0.

In the first octant, we can set the limits of integration to be from 0 to 2 for x and from 0 to sqrt(4 - [tex]x^{2}[/tex]) for y, as we are only considering the first quadrant of the cylinder. For z, the limits of integration are from 0 to 1, as we are only considering the solid bounded by the planes.

We can then set up the triple integral as follows:

∫∫∫ (1) dz dy dx

where (1) represents the constant function 1, as we are not given any specific function to integrate.

Using the limits of integration we determined earlier, we can simplify the integral to:

∫[tex]0^{2}[/tex] ∫[tex]0^{\sqrt{4-x^{2} } }[/tex] ∫[tex]0^{1}[/tex] (1) dz dy dx

Evaluating this integral yields:

∫[tex]0^{2}[/tex]∫[tex]0^{\sqrt{4-x^{2} } }[/tex](z)|[tex]0^{1}[/tex]dy dx

which further simplifies to:

∫[tex]0^{2}[/tex] (1/2)([tex]{\sqrt{4-x^{2} } }[/tex]) dx

Using the substitution u = x/2, we can simplify the integral further to:

(1/4) ∫[tex]0^{4\sqrt{4-u^{2} } }[/tex] du

This integral can be evaluated using the trigonometric substitution u = 2 sin(theta), which yields:

(1/2) ∫[tex]0^{\pi /2}[/tex](2 cos(θ)[tex])^{2}[/tex] d(θ)

Simplifying this integral further yields:

(1/2) ∫0^pi/2 (4 [tex]cos^{2}[/tex](tθ) - 2) d(θ)

Evaluating the integral gives us:

(1/2) [(4/3) [tex]sin^{3}[/tex](θ) - 2 θ]|[tex]0^{\pi }[/tex]

Finally, plugging in the limits of integration yields:

(2/3) [tex]\pi[/tex]

Therefore, the triple integral of the given solid is equal to (2/3) [tex]\pi[/tex].

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A sorority was purchasing 5 dozens of specially designed t-shirts to sell members through internet. The goods or T-shirts were business products.

Business products refer to goods or services that are purchased by businesses or organizations to be used in the production of other goods or services. These products are also known as B2B (business-to-business) products, as they are sold to other businesses rather than to consumers.

In the context of the sorority purchasing t-shirts, it is possible that they may be considered a business product if the sorority plans to resell the t-shirts to members for a profit.

Thus, the answer is business products.

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False. If f''(x) > 0 for all real numbers except at x=a, this implies that the function is concave up everywhere except at x=a. A continuous function that is concave up has a positive second derivative, which means the graph is shaped like a "U." In other words, it is "curving" upwards.

Since the function is concave up everywhere except x=a, it indicates that the function is increasing on both sides of x=a. An absolute maximum would require the function to be increasing on one side and decreasing on the other side, forming a "peak." However, since the function is increasing on both sides of x=a, it cannot have an absolute maximum at x=a. Thus, the statement is false.

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A randomized controlled trial in which each subject is assigned to a combination of at least two independent variables is an example of a Factorial Design.

In statistics, a full factorial experiment is one in which all potential combinations of the levels across all of the factors are taken into account by the experimental units. A full factorial experiment has two or more factors with discrete possible values or "levels" in its design. A fully crossed design is another name for a full factorial design. Using such an experiment, the researcher can examine how each element affects the response variable as well as how different factors interact with one another.

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The best measure of center for the data is: The median is the best measure of center, and it equals 3.

In statistics, the median is a measure of central tendency that represents the value separating the higher half of a dataset from the lower half.

To find the median of a dataset, the values must first be arranged in order of magnitude. If the dataset has an odd number of values, the median is the middle value. If the dataset has an even number of values, the median is the average of the two middle values.

To determine the best measure of center for this data, we need to consider the distribution of the data. The line plot shows that the data is not symmetric, with more data points above 6 and 7 than below.

In this case, the median is the best measure of the center, because it is not affected by the extreme values in the dataset. The median is the middle value of the dataset when it is arranged in order, and in this case, the middle value is 3 which gives a median of 3.

Therefore, the best measure of the center for this data is the median, and its value is3.

Option (B) is correct.

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Crime rates in the UCR (Uniform Crime Report) are expressed as the number of reported crimes per 100,000 population.

This allows for a standardized comparison of crime levels across different areas and time periods, taking into account population size. The UCR presents raw figures, crime rates, and changes in both the number and rate of crime over time to provide a comprehensive view of crime trends.

This is calculated by dividing the number of reported crimes by the population of the area and multiplying the result by 100,000. This helps to standardize the data and allows for comparison across different jurisdictions and time periods. Additionally, the UCR also presents changes in crime rates over time, allowing for the identification of trends and patterns in crime.

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The volume of the book is 595/8 cubic inches or approximately 74.375 cubic inches.

To find the volume of the book, we need to multiply the length, width, and height of the rectangular prism. The height of the book is 8 1/2 inches, the width is 7 inches, and the thickness is 2 1/2 inches.

First, we need to convert the height to a fraction: 8 1/2 inches = 17/2 inches. Then, we can use the formula for the volume of a rectangular prism:

Volume = Length x Width x Height

Volume = 7 inches x 2 1/2 inches x 17/2 inches

To simplify this calculation, we can convert 2 1/2 inches to a fraction: 2 1/2 inches = 5/2 inches.

Volume = 7 inches x 5/2 inches x 17/2 inches

Multiplying these fractions gives:

Volume = (7 x 5 x 17) / (2 x 2 x 2)

Volume = 595 / 8 cubic inches

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Answer:

The best buy item is the Frito-Lay mi Variety Pack. Going for only 0.35 per item.

Step-by-step explanation:

Frito-Lay:

9.88/28 = 0.35

Unit rate is 35 cents

Pringles:

6.48/18 = 0.36

Unit rate is 36 cents

Pack of 18:

11.21/18 = 0.6

Unit rate is 60 cents

Pack of 24:

15.85/24 = 0.66

Unit rate is 66 cents

GC:

14.75/30 = 0.49

Unit rate is 49 cents

Sweet Treats:

10.75/25 = 0.43

Unit rate is 43 cents

Comparing all of this data, it can easily be seen that the Frito-Lay mi Variety Pack is the best deal you can find out of these 6 deals.

The term used in a confidence interval that accounts for the standard error of the estimator and the desired confidence level of the interval is called the "margin of error." Margin of error incorporates the variability of the sample estimator, usually measured by the standard error, and the desired confidence level, expressed as a percentage (e.g., 95% confidence level).

In a confidence interval, the margin of error is used to determine the range within which the true population parameter is likely to fall. It is calculated by multiplying the standard error by a critical value, which is determined based on the desired confidence level. For instance, in a 95% confidence interval, the critical value is typically 1.96, derived from the standard normal distribution.

By including the margin of error in the calculation, the confidence interval provides an estimate of the population parameter that accounts for the uncertainty inherent in using a sample to make inferences about a larger population. The larger the margin of error, the wider the confidence interval, indicating greater uncertainty in the estimate. Conversely, a smaller margin of error suggests a more precise estimate.

In summary, the margin of error is a crucial component of confidence intervals, as it combines the standard error of the estimator and the desired confidence level to quantify the uncertainty in the estimate and provide a range within which the true population parameter is likely to lie.

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To minimize problems in repeated-measures designs that can result from systematic differences between successive measurements, a researcher should use a method called counterbalancing.

Counterbalancing is a technique used in research experiments to control for the effects of order and practice on the results of the study. It involves systematically changing the order in which participants experience different conditions of the experiment to ensure that any observed effects are not simply due to the order of presentation.

For example, if a study involves testing the effects of two different drugs on a group of participants, counterbalancing would involve dividing the participants into two groups, with one group receiving drug A first followed by drug B, while the other group receives drug B first followed by drug A. This ensures that any observed effects are not simply due to the order in which the drugs were administered.

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The correct answer is D. 50% long-tailed cat with long whiskers, 50% short-tailed cat with short whiskers.

This is because the long-tailed cat with long whiskers is homozygous for the recessive allele for tail length (ww) and homozygous for the dominant allele for whisker length (TT), while the short-tailed cat with short whiskers is homozygous for the dominant allele for tail length (TT) and homozygous for the recessive allele for whisker length (ww). Therefore, all the offspring will inherit one copy of the dominant allele for tail length (T) from each parent, making them all long-tailed, but half will inherit the recessive allele for whisker length (w) from each parent, making them short-whiskered.

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Their method is not a random sample, as it did not accurately represent the nitrate levels in the entire population of mountain lakes.

The method used by the researchers to select the lakes was random, as they did not have a specific criteria for selecting the lakes. However, the method used to collect the water samples from each lake was not random, as they took only five water samples from each lake, which means that not all parts of the lake were tested. This violates the criterion of random sampling, which requires that every element in the population has an equal chance of being selected for the sample. The researchers' method of collecting nitrate levels in lake water does not result in a truly random sample. This is because they violated the criterion of equal probability of selection for each measurement. By selecting 12 mountain lakes and taking five samples from each, they created a stratified sample rather than a random one. The measurements within each lake are not independent, as they could be affected by the specific conditions of that lake. To obtain a truly random sample, the researchers should have selected 60 measurements from all mountain lakes with equal probability, ensuring that each measurement had the same chance of being included in the sample.

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Your question is about the most appropriate statistic to measure agreement between Trisha and Fitz's study observations when Dr. Regent is evaluating the inter-rater reliability. The most appropriate statistic in this case would be Cohen's Kappa coefficient.

Step 1: Understand the terms
- Inter-rater reliability: This refers to the consistency between two or more independent raters or observers when assessing the same subject or phenomenon.
- Cohen's Kappa coefficient: A statistical measure used to evaluate the agreement between two raters, while accounting for the possibility of agreement occurring by chance.

Step 2: Apply the statistic
Dr. Regent should use Cohen's Kappa coefficient to measure the agreement between Trisha and Fitz's study observations, as it is specifically designed for assessing inter-rater reliability and takes into account the possibility of agreement by chance.

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To find the hourly wage of these automobile plant workers in 3 more years, we need to use the formula for exponential growth. The hourly wage of the automobile plant workers in 3 more years will be approximately $14.93.

A = P(1 + r)^t

Where A is the final amount, P is the initial amount, r is the growth rate, and t is the time period.

In this case, the initial amount is $7.60, the final amount is $12.84, and the time period is 9 years. To find the growth rate, we can use the formula:

r = (ln(A/P))/t

Where ln is the natural logarithm. Plugging in the values, we get:

r = (ln(12.84/7.60))/9
r = 0.0778

So the growth rate is approximately 0.0778 per year. Now we can use the formula again to find the hourly wage in 3 more years:

A = 7.60(1 + 0.0778)^12
A = $20.53

Therefore, the hourly wage of these automobile plant workers will be approximately $20.53 in 3 more years if their wages continue to grow exponentially at the same rate.

To calculate the hourly wage of the automobile plant workers in 3 more years, we need to follow these steps:

Step 1: Determine the initial wage (W0) and the final wage after 9 years (W9)
W0 = $7.60
W9 = $12.84

Step 2: Calculate the annual growth rate (r)

We know that the exponential growth formula is W = W0 * (1 + r)^t, where W is the final wage, t is the time in years, and r is the annual growth rate. We'll solve for r:
$12.84 = $7.60 * (1 + r)^9

Step 3: Solve for r
(1 + r)^9 = $12.84 / $7.60
(1 + r)^9 = 1.68947
Take the 9th root of both sides:
1 + r = (1.68947)^(1/9)
1 + r = 1.06569
Now, subtract 1 from both sides:
r = 0.06569, or 6.569% annual growth rate

Step 4: Calculate the wage in 3 more years (W12)
Now we can use the exponential growth formula to find the wage in 12 years (W12):
W12 = W0 * (1 + r)^t
W12 = $7.60 * (1 + 0.06569)^12
W12 ≈ $14.93

So, the hourly wage of the automobile plant workers in 3 more years will be approximately $14.93.

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To calculate the weighted arithmetic mean price per ton, we need to multiply each price per ton by its corresponding tonnage, sum up these products, and divide by the total tonnage. Using the given information, we have:

(1,600 tons x $27.80 per ton) + (3,400 tons x $87.32 per ton) + (900 tons x $95.00 per ton) = $93,908 + $296,608 + $85,500 = $476,016

Total tonnage = 1,600 + 3,400 + 900 = 5,900

Weighted arithmetic mean price per ton = $476,016 / 5,900 = $80.51 per ton (rounded to two decimal places)

Therefore, the weighted arithmetic mean price per ton is $80.51.
Hi! To calculate the weighted arithmetic mean price per ton, you should follow these steps:

1. Multiply each price per ton by the corresponding tons of coal.
2. Add the results from step 1.
3. Divide the sum from step 2 by the total tons of coal.

Here's the calculation:

1. ($27.80 * 1,600) + ($87.32 * 3,400) + ($95.00 * 900)
2. 44,480 + 296,688 + 85,500
3. 426,668 / (1,600 + 3,400 + 900)

The weighted arithmetic mean price per ton is 426,668 / 5,900 = $72.32.

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Answer:

Below

Step-by-step explanation:

Answer 10.1: 15

Explanation:

(-4)^2 is 16 and (-1)^3 is -1, so (-4)^2 + (-1)^3 = 16 - 1 = 15.

Answer 10.3: -23

Explanation:

(-2)^2 is 4 and -27 minus 4 is -23.

Answer 10.5: None

Explanation:

The expression is incomplete as there is no number or operation after the "^3".

Answer 10.7: 0.7

Explanation:

√0.04 is 0.2 and (0.5)^2 is 0.25, so 0.2 + 0.25 = 0.45. The square root of 0.45 is approximately 0.671.

Answer 10.9: 0.02788

Explanation:

(0.2)^3 is 0.008 and 0.027 plus 0.008 is 0.035. Raising 0.035 to the power of 1/3 gives approximately 0.315. Therefore, the final answer is approximately 0.02788.

Answer 10.2: -2018

Explanation:

Using the order of operations, we start with 62 divided by 3 which is approximately 20.67, then multiply that by -33 to get approximately -682.44.

Answer 10.4: -2

Explanation:

Empty brackets imply multiplication. Therefore, ()^2 is 0, and (-1)^3 is -1. Thus, 0 - 1 = -1.

Answer 10.6: 0.11

Explanation:

(0.1)^2 is 0.01 and (0.1)^3 is 0.001, so 0.01 + 0.001 = 0.011.

Answer 10.8: 0.38

Explanation:

0.0144 + 0.04 = 0.0544, and the square root of 0.0544 is approximately 0.2336. Subtracting (-0.2)^2 (which is 0.04) from 0.0544 gives 0.0144. Taking the square root of 0.0144 gives approximately 0.12. Finally, 0.2336 minus 0.12 is approximately 0.38.

The infant's weight is 7 pounds and 10 ounces using weight conversion.

To convert the weight of the newborn from grams to pounds, we need to divide the weight by the number of grams in one pound, which is 453.59. So, 3,459 grams divided by 453.59 grams per pound is equal to 7.628 pounds.

To find the weight in ounces, we need to multiply the decimal part of the pounds by 16 (since there are 16 ounces in one pound). So, 0.628 x 16 = 10.048 ounces.

Therefore, the infant's weight is 7 pounds and 10 ounces.

It is important to note that weight conversion is often used in the medical field to monitor the health and growth of newborns. By tracking their weight in pounds and ounces, doctors can ensure that they are gaining weight at a healthy rate and are meeting their developmental milestones.

This information can also be used to make adjustments to their feeding or treatment plans if necessary. It is crucial for healthcare professionals to accurately convert weight measurements to ensure the best possible care for their patients.

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To find an increasing subsequence of maximal length, we can start by looking for the longest increasing subsequence that ends with each element in the sequence. We can keep track of the length of the longest subsequence we have found so far, and update it whenever we find a longer one.

Starting with the first element, 22, we have found an increasing subsequence of length 1. Moving on to the second element, 5, there are no increasing subsequences that end with 5 longer than the one that ends with 22. The same is true for 7 and 2. However, when we get to 23, we can add it to the increasing subsequence that ends with 22 to get a new increasing subsequence of length 2.

Continuing in this way, we can add 10 and 21 to get a subsequence of length 4. Finally, we can add 17 to get an increasing subsequence of length 5: 5, 7, 10, 21, 17.

To find a decreasing subsequence of maximal length, we can use a similar approach, but instead look for the longest decreasing subsequence that starts with each element in the sequence. Starting with 22, there are no decreasing subsequences that start with it, so we move on to 5.

The longest decreasing subsequence that starts with 5 is just 5 itself. For 7, we can add it to the decreasing subsequence that starts with 5 to get a new decreasing subsequence of length 2. Continuing in this way, we can add 3 and 2 to get a subsequence of length 4. Finally, we can add 17 to get a decreasing subsequence of length 5: 17, 21, 10, 5, 2.

In both cases, we have found subsequences of maximal length, which means that there are no longer subsequences that satisfy the condition of being increasing or decreasing. These two types of subsequences are useful in many different areas of mathematics and computer science, such as sorting algorithms and graph theory.

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To construct an 86% confidence interval with 15 data points, you would use a t-score of approximately 1.761, assuming the data follows a normal distribution.

To construct an 86% confidence interval with 15 data points, we will first need to find the appropriate t-score.

The t-score is based on the t-distribution, which is used when the sample size is small (less than 30) and the population standard deviation is unknown.

The t-score depends on the desired level of confidence and the degrees of freedom, which is equal to the sample size minus 1 (15 - 1 = 14).

To find the t-score for an 86% confidence interval, we must look at a t-distribution table or use a statistical calculator. We need to find the value corresponding to 0.930 (1 - [(1 - 0.86)/2]) in the cumulative probability column and 14 degrees of freedom in the table. The appropriate t-score is approximately 1.761.

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Answer:

Option B is correct

The numerical values of the circumference and area are equal.

Step-by-step explanation:

Circumference(C) and Area (A)of the circle is given by:              ....[1]           ......[2]where, r is the radius of the circle.As per the statement:A circle has a diameter of 4 inches. We know:Diameter = 2 (radius(r))then;4 = 2rDivide both sides by 2 we have;r = 2 inchesSubstitute these in [1] and [2] we have;Use then;Therefore, the numerical values of the circumference and area are equal i.e 12.56

Simplifying the expression, we can find the time it will take for the newer pump to drain the pool on its own.

If two pumps can drain a pool together in a certain number of hours and it takes the older pump a certain number of hours to drain the pool alone, we can determine how long it will take the newer pump to drain the pool on its own.

Let's assume that the older pump can drain the pool alone in x hours. The rate of the older pump is 1/x of the pool drained per hour. If two pumps can drain the pool together in y hours, their combined rate is 1/y of the pool drained per hour.

Now, to find the rate of the newer pump, we subtract the rate of the older pump from the combined rate of both pumps:

1/y - 1/x = 1/t

Here, t represents the time it would take for the newer pump to drain the pool on its own. By rearranging the equation, we can solve for t:

1/t = 1/y - 1/x

To find t, we can take the reciprocal of both sides of the equation:

t = 1 / (1/y - 1/x)

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The probability of choosing one green marble and then a yellow marble with replacement is 3/50.

To find the probability of choosing one green marble and then a yellow marble with replacement, we'll need to consider the following terms:
Total marbles in the bag:

There are 5 blue marbles, 2 green marbles, and 3 yellow marbles, which makes a total of 10 marbles.
Probability of choosing a green marble:

There are 2 green marbles out of the total 10 marbles, so the probability is 2/10 or 1/5.
Probability of choosing a yellow marble:

Since we are replacing the green marble, there are still 10 marbles in the bag.

There are 3 yellow marbles, so the probability is 3/10.
Now, to find the probability of both events happening in succession:
Probability (Green, then Yellow with replacement) = Probability (Green) * Probability (Yellow)
= (1/5) * (3/10)
= 3/50.

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The Tragedy of the Commons is used to describe when one fisherman exceeds the legal limit for a particular type of fish by one fish, the effect on the fish population might not be harmful, but if many fishermen exceed the limit by one fish, knowing that they are depleting that particular population of fish.

The commons is a situation in which individuals who have access to a resource (also known as the commons) act in their own interests and ultimately release the resource. This economic theory was first proposed by the English writer William Forster Lloyd in 1833. The speed of the resource depends on three important factors: the number of users who want to use the resource in question, the intensity of use, and the resources involved. Fishing is a classic example of the situation of different people who occur when the property is not in full possession and the resources are open. Migration of fish often makes it difficult to establish and protect the right to fish at sea, so fishing laws apply. So giving service is an example of the situation of people who share.

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The x-intercepts of the parabola are given as follows:

x = -0.58 and x = 2.58.

The quadratic function in the context of this problem is defined as follows:

y = -2(x + p)² + q.

The axis of symmetry is the x-coordinate of the vertex, hence:

p = 1.

The range gives the y-coordinate of the vertex, hence:

q = 5.

Then the function is defined as follows:

y = -2(x + 1)² + 5.

y = -2(x² + 2x + 1) + 5

y = -2x² + 4x - 2 + 5

y = -2x² + 4x + 3.

The x-intercepts are the values of x when y = 0, hence, using a quadratic function calculator with a = -2, b = 4 and c = 3, they are given as follows:

x = -0.58 and x = 2.58.

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To calculate the probability that the sample mean would differ from the true mean by less than 0.6 dollars, we need to use the Central Limit Theorem (CLT) since the sample size is large (n = 107).

According to the CLT, the sampling distribution of the sample mean will be approximately normally distributed, regardless of the shape of the original population distribution, when the sample size is sufficiently large.

Given that the variance of the cost of 55 gallons of ice cream is 3636 and the sample size is 107, we can calculate the standard deviation of the sampling distribution (also known as the standard error) using the formula:

Standard Error (SE) = sqrt(Variance / Sample Size)

SE = sqrt(3636 / 107)

SE ≈ 5.960

Next, we want to find the probability that the sample mean would differ from the true mean by less than 0.6 dollars. This can be interpreted as finding the probability within a certain range around the mean in a normal distribution.

To calculate this probability, we need to standardize the range by converting it into a z-score.

Z = (X - μ) / SE

where X is the value of interest (0.6 dollars in this case), μ is the true mean (3636 dollars), and SE is the standard error (5.960 dollars).

Z = (0.6 - 3636) / 5.960

Z ≈ -607.073

Since the z-score is extremely negative, the probability of the sample mean differing from the true mean by less than 0.6 dollars is almost 0.

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a) The mean height of adult women in this distribution is 63.5 inches.

b) The standard deviation of heights in this distribution is 4.06 inches.

To calculate the mean and standard deviation of heights in inches, we need to convert the heights given in feet and inches to inches. We can use the formula:

height in inches = 12 x height in feet + height in inches

For the 10th percentile height:

height in inches = 12 x 5 + 0 = 60 inches

For the 90th percentile height:

height in inches = 12 x 5 + 7 = 67 inches

(a) To find the mean height, we can use the formula:

mean = (10th percentile + 90th percentile) / 2

mean = (60 + 67) / 2

mean = 63.5 inches

(b) To find the standard deviation, we can use the formula:

standard deviation = (90th percentile - 10th percentile) / (2 x 1.645)

where 1.645 is the z-score corresponding to a 90% confidence interval.

standard deviation = (67 - 60) / (2 x 1.645)

standard deviation = 4.06 inches

for such more question on standard deviation

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