1. Below are the are data for the number of visits to the campus recreation center during a semester for 30 State U students. 19 25 5 2 4 7 21 20 47 22 17 5 3 4 2 12 0 18 19 127 70 20 1 4 39 1 24 23 9 1 (a) Compute the mean and standard deviation for these data. Label each with the appropriate symbol. (b) Compute the median and the IQR. (c) Provide a 5-number summary of the data. (d) Sketch a modified baxplot of the data. How would you describe the shape of the distribution? Are there any potential outliers? If so, which value(s)? (e) What is the score for the individual who visited the center nine times? Interpret the result.
1. Below are the are data for the number of visits to the campus recreation center during a semester for 30 State U students. 19 25 5 2 4 7 21 20 47 22 17 5 3 4 2 12 0 18 19 127 70 20 1 4 39 1 24 23 9 1 (a) Compute the mean and standard deviation for these data. Label each with the appropriate symbol. (b) Compute the median and the IQR. (c) Provide a 5-number summary of the data. (d) Sketch a modified baxplot of the data. How would you describe the shape of the distribution? Are there any potential outliers? If so, which value(s)? (e) What is the score for the individual who visited the center nine times? Interpret the result.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
Related questions
Question
![Numerical Summaries WS
DIRECTIONS: SHOW ALL WORK!!
A final response following a calculation should be a sentence. Place a box around your final response.
Round probability calculations to 4 decimal places.
Round other numerical results including percents to two decimal places (e.g. 2.56 shoes, 18.49%).
1. Below are the are data for the number of visits to the campus recreation center during a semester for 30 State U students.
19
25
5
7
2
4
21 20 47
1
22
5
0
4
7
4
2
1
12
18 19 23
17
3
0
0
20
1
39
24
9
(a) Compute the mean and standard deviation for these data. Label each with the appropriate symbol.
(b) Compute the median and the IQR.
(c) Provide a 5-number summary of the data.
(d) Sketch a modified baxplot of the data. How would you describe the shape of the distribution? Are there any potential
outliers? If so, which value(s)?
(e) What is the-score for the individual who visited the center nine times? Interpret the result.
2. A study by the World Health Organization found the life expectancy for European countries followed a skewed-left
distribution with a mean of 74 21 years and a standard deviation of 3.87 years.
(a) Should we expect the mean to be less than, greater than, or about the same as the median? Explain.
(b) At least what percent of individuals live between 65.38 years and 83.01 years?
(c) What is the smallest interval guaranteed to capture at least 92% of all life expectancies?
3. An assembly plant for Rivendell Motors builds approximately 6000 cars each week. Past data show the number of defective
cars produced during a week follows a bell-shaped distribution with a mean of 204 cars and a standard deviation of 14
CAIS
(a) What percent of weeks see between 218 and 246 defective cars coming off the line?
(b) What percent of weeks have more than 246 defective cars produced at the plant?
(c) What percent of weeks see between 162 and 218 defective cars at the plant?
(d) What is the cutoff for the fewest 16% of defective cars produced in a week?
(e) What is the cutoff for the greatest 2.5% of defective cars produced in a week?
4. A survey of customers who shop at a designer clothing store found the average number of t-shirts they own costing at least
$30 (designer t-shirt was 3.61 with a standard deviation of 1.18 t-shirts. A histogram of the data shows a skewed-right
distribution.
(a) Should we expect the mean to be less than, greater than, or approximately the same as the median? Explain
(b) At least what percent of customers would we find on the interval between 2.30 t-shirts and 5.92 t-shirts?
(c) What is the smallest interval guaranteed to capture at least 71% of all customers?
5. The Kentucky Derby in its present form dates back to 1896, when the race became contested at a distance of 14 miles.
Since that time, there have been 127 winners. An analysis of the winning times shows a roughly bell-shaped distribution
with a mean of 122.34 seconds and a standard deviation of 1.52 seconds
(a) Identify the mean and standard deviation using appropriate symbols.
(b) What percent of Derby winners finished between 119.3 s and 126.9 s?
(c) What percent of Derby winners took more than 123.86 s to finish the race?
(d) What time marks the cutoff for the fastest 0.15% of winning times?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5d337fd0-f09b-4f09-b16c-29461dea83fb%2F696180fc-c78b-491a-9264-b836d2224b2c%2Fzasvjw7_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Numerical Summaries WS
DIRECTIONS: SHOW ALL WORK!!
A final response following a calculation should be a sentence. Place a box around your final response.
Round probability calculations to 4 decimal places.
Round other numerical results including percents to two decimal places (e.g. 2.56 shoes, 18.49%).
1. Below are the are data for the number of visits to the campus recreation center during a semester for 30 State U students.
19
25
5
7
2
4
21 20 47
1
22
5
0
4
7
4
2
1
12
18 19 23
17
3
0
0
20
1
39
24
9
(a) Compute the mean and standard deviation for these data. Label each with the appropriate symbol.
(b) Compute the median and the IQR.
(c) Provide a 5-number summary of the data.
(d) Sketch a modified baxplot of the data. How would you describe the shape of the distribution? Are there any potential
outliers? If so, which value(s)?
(e) What is the-score for the individual who visited the center nine times? Interpret the result.
2. A study by the World Health Organization found the life expectancy for European countries followed a skewed-left
distribution with a mean of 74 21 years and a standard deviation of 3.87 years.
(a) Should we expect the mean to be less than, greater than, or about the same as the median? Explain.
(b) At least what percent of individuals live between 65.38 years and 83.01 years?
(c) What is the smallest interval guaranteed to capture at least 92% of all life expectancies?
3. An assembly plant for Rivendell Motors builds approximately 6000 cars each week. Past data show the number of defective
cars produced during a week follows a bell-shaped distribution with a mean of 204 cars and a standard deviation of 14
CAIS
(a) What percent of weeks see between 218 and 246 defective cars coming off the line?
(b) What percent of weeks have more than 246 defective cars produced at the plant?
(c) What percent of weeks see between 162 and 218 defective cars at the plant?
(d) What is the cutoff for the fewest 16% of defective cars produced in a week?
(e) What is the cutoff for the greatest 2.5% of defective cars produced in a week?
4. A survey of customers who shop at a designer clothing store found the average number of t-shirts they own costing at least
$30 (designer t-shirt was 3.61 with a standard deviation of 1.18 t-shirts. A histogram of the data shows a skewed-right
distribution.
(a) Should we expect the mean to be less than, greater than, or approximately the same as the median? Explain
(b) At least what percent of customers would we find on the interval between 2.30 t-shirts and 5.92 t-shirts?
(c) What is the smallest interval guaranteed to capture at least 71% of all customers?
5. The Kentucky Derby in its present form dates back to 1896, when the race became contested at a distance of 14 miles.
Since that time, there have been 127 winners. An analysis of the winning times shows a roughly bell-shaped distribution
with a mean of 122.34 seconds and a standard deviation of 1.52 seconds
(a) Identify the mean and standard deviation using appropriate symbols.
(b) What percent of Derby winners finished between 119.3 s and 126.9 s?
(c) What percent of Derby winners took more than 123.86 s to finish the race?
(d) What time marks the cutoff for the fastest 0.15% of winning times?
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