## Description

Read the question carefully and answer the questions. Write on a piece of paper with question number using clear writing. Make sure that I can tell every words and numbers easily.

### Unformatted Attachment Preview

San Ramon
(Out of 30 points.) Calculators okay. Please show all work.
t
1. (6 points) The path of a math puppy after t seconds is described by the following set of parametric equations:
= 4-t
x=4f=
tyattt
y = -t? + t,
where the units of the r- and y- axes are meters. Set up, but do not evaluate, an integral that represents the distance
traveled by the puppy between t = 2 and t = 7 seconds.
2. (6 points) Find the point(s) (x, y) on the following parametric curve at which the tangent is horizontal or
label them as such.)
x=+² +44
3. (6 points) Plot the following polar coordinates (r.) on the same set of axes, and converted
(a) (3, 3)
(b) (-1, -5
do not evaluate, an integral that represents the area of the shaded re
cos
3 (6 points) Plot the following polar coordinates (ro) on the same set of axes, and convert
(a) (3.
Texas INSTRU
5. ( points)
(b) (-1, -*)
BE
DE
DE
ANK
en
ST
PR
E
N
4. (6 points) Set up, but do not evaluate, an integral that represents the area of the shaded region:
y
T=1+cos
og
2
1
х
3
-1
-2
8. (6 points) Find the centrond (2,3) of the triangle with vertice (0,0), (0.4), (2,6).
At what time t is the puppy in number 4 traveling at a 45-degree angle
Extra Credit (+3 points)
5. (6 points) Find the centroid) of the lange
At what time t is the puppy in number 4 traveling at a 45-degree angle to the 2 - at?
Extra Credit (+3 points)

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statistics test

2. A random sample of 500 pineapples was taken from a large consignment and 65 were found to be bad. Show that the S.E of ...

statistics test

2. A random sample of 500 pineapples was taken from a large consignment and 65 were found to be bad. Show that the S.E of the proportion of bad ones in a sample of size is 0.015 and deduce that the percentage of bad pineapples in the

Grantham University W7 Coefficient of Determination Worksheet

Week 7 AssignmentQuestion 1Assume you have noted the following prices for paperback books and the number of pages that eac ...

Grantham University W7 Coefficient of Determination Worksheet

Week 7 AssignmentQuestion 1Assume you have noted the following prices for paperback books and the number of pages that each book contains.Develop a least-squares estimated regression line.Compute the coefficient of determination and explain its meaning.Compute the correlation coefficient between the price and the number of pages. Test to see if x and y are related. Use α = 0.10.Question 2The following data represent a company's yearly sales volume and its advertising expenditure over a period of 8 years.Develop a scatter diagram of sales versus advertising and explain what it shows regarding the relationship between sales and advertising.Use the method of least squares to compute an estimated regression line between sales and advertising.If the company's advertising expenditure is $400,000, what are the predicted sales? Give the answer in dollars.What does the slope of the estimated regression line indicate?

10 multiple choice and 5 short answer calculus questions

1.Use your graphing calculator to evaluate . (5 points)0eπ12.Describe the discontinuity for the function . (5 points)Th ...

10 multiple choice and 5 short answer calculus questions

1.Use your graphing calculator to evaluate . (5 points)0eπ12.Describe the discontinuity for the function . (5 points)There is a hole at x = -25.There is a removable discontinuity at x = 5.There is a vertical asymptote at x = 5.There is no discontinuity at x = 5.3.Find . (5 points)Does not exist04.Evaluate . (5 points)∞-∞0-85.Evaluate . (5 points)-20-∞6.Which of the following is the graph of which function has y = -3 as an asymptote? (5 points)y = 3ln(x + 1)7.If is continuous at x = -4, find f(-4). (5 points)4-48-88.Where is discontinuous? (5 points)f(x) is continuous everywherex = 3 and x = -5x = -5x = 39.If f(x) is discontinuous, determine the reason. (5 points)f(x) is continuous for all real numbersThe limit as x approaches 1 does not existf(1) does not equal the limit as x approaches 1f(1) is not defined10.If f(x) is a continuous function defined for all real numbers, f(-10) = -2, f(-8) = 5, and f(x) = 0 for one and only one value of x, then which of the following could be that x value? (5 points)-7-9021.Use the graph below to list the x value(s) where the limits as x approaches from the left and right of those integer values(s) are not equal. (10 points)2.Find . You must show your work or explain your work in words. (10 points)3.Find . You must show your work or explain your work in words. (10 points)4.A ball's position, in meters, as it travels every second is represented by the position function s(t) = 4.9t2 + 350.What is the velocity of the ball after 2 seconds?Include units in your answer. (10 points)5.The cost in dollars of producing x units of a particular telephone is C(x) = x2 - 2500. (10 points)a. Find the average rate of change of C with respect to x when the production level is changed from x = 100 to x = 103. Include units in your answer. b. Find the instantaneous rate of change of C with respect to x when x = 100. Include units in your answer.

Moore College of Art and Design Matched Pairs Statistics Worksheet

Learn by DoingMatched Pairs: In this lab you will learn how
to conduct a matched pairs T-test for a population mean using ...

Moore College of Art and Design Matched Pairs Statistics Worksheet

Learn by DoingMatched Pairs: In this lab you will learn how
to conduct a matched pairs T-test for a population mean using
StatCrunch. We will work with a data set that has historical
importance in the development of the T-test.Paired T hypothesis test:
μD = μ1 - μ2 : Mean of the
difference between Regular seed and Kiln-dried seed
H0 : μD = 0
HA : μD > 0
Hypothesis test results:
Difference
Mean
Std. Err.
DF
T-Stat
P-value
Regular seed - Kiln-dried seed
-33.727273
19.951346
10
-1.6904761
0.9391
Some features of this activity may not work well on a cell phone
or tablet. We highly recommend that you complete this activity on a
computer.Here are the directions, grading rubric, and definition of
high-quality feedback for the Learn by Doing
discussion board exercises.A list of StatCrunch directions is provided at the bottom of
this page.ContextGosset's Seed Plot DataWilliam S. Gosset was employed by the Guinness brewing company
of Dublin. Sample sizes available for experimentation in brewing
were necessarily small. At that time, Gosset contacted a famous
statistician Karl Pearson (1857-1936) and was told that there were
no techniques for developing probability models for small data
sets. Gosset studied under Pearson, and the outcome of his study
was perhaps the most famous paper in statistical literature, "The
Probable Error of a Mean" (1908), which introduced the
T-distribution.Since Gosset was employed by Guinness, any work he produced
would be owned by Guinness, so he published under a pseudonym,
"Student"; hence, the T-distribution is often referred to as
Student's T-distribution.To illustrate his analysis, Gosset used the results of seeding
11 different plots of land with two different types of seed:
regular and kiln-dried. He wanted to determine if drying seeds
before planting increased plant yield. Since different plots of
soil may be naturally more fertile, this confounding variable was
eliminated by using the matched pairs design and planting both
types of seed in all 11 plots.The resulting data (corn yield in pounds per acre) are as
follows.
Plot
Regular seed
Kiln-dried Seed
1
1903
2009
2
1935
1915
3
1910
2011
4
2496
2463
5
2108
2180
6
1961
1925
7
2060
2122
8
1444
1482
9
1612
1542
10
1316
1443
11
1511
1535
We use these data to test the hypothesis that kiln-dried seed
yields more corn than regular seed.Because of the nature of the experimental design (matched
pairs), we are testing the difference in yield.
Plot
Regular seed
Kiln-dried Seed
Difference
1
1903
2009
–106
2
1935
1915
20
3
1910
2011
–101
4
2496
2463
33
5
2108
2180
–72
6
1961
1925
36
7
2060
2122
–62
8
1444
1482
–38
9
1612
1542
70
10
1316
1443
–127
11
1511
1535
–24
Note that the differences were calculated:
regular −
kiln-dried.VariablesRegular seed: regular seeds that were traditionally
used for planting
kiln-dried: seed that were kiln-dried before plantingDataDownload the seed (Links to an external site.) data
file, and then upload the file into StatCrunch.PromptState the hypotheses and define the parameter.Checking conditions: Since Gosset invented the T-distribution,
we will assume that his sample meets the conditions and proceed
with the T-test. Regardless, answer these questions to demonstrate
your understanding of the conditions for use of the T-model.
But first you will need to review the dotplots for the data (opens
in a new tab).
Which graph is used to check conditions? Why?What do we look for in the graph to verify that conditions are
met?What else do we need to know about the sample of seeds before
using the T-test?
Use StatCrunch to find the T-score and the P-value. Hint: as
you work through the StatCrunch directions, keep in mind that we
want to calculate the differences as
regular −
kiln-dried . So you will choose
Regular seed for Sample 1 and kiln-dried seed for
Sample 2. (directions)
Copy and paste the information in the StatCrunch output window into
your initial post.State a conclusion based on the context of this scenario.EXAMPLE TO RIGHT ANSWER1. Ho: μ=0Ha: μ>0The average difference is -33.732. a) We use the graph of the differences because that is what
we are analyzing.b) We look to see if the graph is normally distributed, not
skewed, and doesn't have outliers.c) We don't know if the data is randomly selected.3.Paired T hypothesis test:
μD = μ1 - μ2 : Mean of the
difference between Regular seed and Kiln-dried seed
H0 : μD = 0
HA : μD > 0
Hypothesis test results:
Difference
Mean
Std. Err.
DF
T-Stat
P-value
Regular seed - Kiln-dried seed
-33.727273
19.951346
10
-1.6904761
0.9391
Differences stored in column, Differences.4. Based on the P-value of 0.9391, we do not have enough
evidence to reject the null hypothesis. There is no statistically
significant evidence to show that kiln-dried seeds yield more than
regular seeds.

Research Paper 10-12 Pages (not including title and references pages)

The Final Paper will involve planning and designing a fraud detection program for your employer organization by applying t ...

Research Paper 10-12 Pages (not including title and references pages)

The Final Paper will involve planning and designing a fraud detection program for your employer organization by applying the concepts learned in class. Assume that you have been promoted as the Internal Audit Director of your employer organization. Your employer organization is concerned about the growing trend of fraudulent activities in larger organizations recently and has asked you to plan and design an effective fraud detection program to deter and detect potential fraudulent activities. Consider the following factors in planning and designing a fraud detection program for your employer organization:Consider the provisions of Statement of Auditing Standards No. 99 (SAS 99) concerning the auditor’s responsibility with regard to fraud detection.Gather information to identify the risks of fraud at your employer organization by planning and conducting risk assessment procedures, conducting brainstorming sessions, and inquiring management and company personnel concerning their awareness of frauds with the employer organization.Conduct various analytical procedures by using computer assisted audit tools and techniques (CAATTs).Plan and design a fraud detection program based on the results of the risk assessment procedures conducted above.Evaluate the internal control systems put in place by the employer organization to prevent potential frauds.Outline procedures for evaluating and documenting the evidence gathered by the fraud detection program.Outline the communication procedures to be implemented when communicating the results of the fraud detection program to members of the upper management of your employer organization.Discuss the post-implementation evaluation program to assess the overall effectiveness of the fraud detection program of your employer organization.Requirements:1. 10-12 pages (not including title and reference pages)2. Use at least five scholarly sources in addition to the course text.3. MUST BE APA FORMAT

Purdue University Unit 5 Distribution of Penny Business Statistics Discussion

Topic: Pennies for Your ThoughtsIn many of the problems from last unit, you were given information about the population. F ...

Purdue University Unit 5 Distribution of Penny Business Statistics Discussion

Topic: Pennies for Your ThoughtsIn many of the problems from last unit, you were given information about the population. For many of the variables, you assumed the variable had a normal distribution. What if the variables you are studying are not normally distributed? Here is your challenge – if the population is not normal, can you make any inferences about that population from your random samples?As a class last unit, you have created a population of the ages of pennies. Your instructor will share this Penny Population document with you as an Excel file, that will include the histogram, mean, and standard deviation of this population of penny ages. Your instructor will also share a link to the Sampling Form to be used in step 5. See Example and DB starter video in Unit 5 LiveBinder.Main Post:1) Describe the distribution shape of the population of penny ages (i.e., left skewed, symmetric, right skewed).2) On your copy of the Penny Population document, randomly select 5 penny ages from this population. Calculate the mean of this Nickel Sample (sample size n = 5). How does this compare to the population mean?3) On your copy of the Penny Population document, randomly select 10 penny ages from this population. Calculate the mean of this Dime Sample (sample size n = 10). How does this compare to the population mean?4) On your copy of the Penny Population document, randomly select 25 penny ages from this population. Calculate the mean of this Quarter Sample (sample size n = 25). How does this compare to the population mean?5) Enter your Nickel Sample mean, Dime Sample mean, and Quarter Sample mean in the Sampling Form sent by your instructor. It will generate a histogram of the class means for each sample (Nickel Samples, Dime Samples, and Quarter Samples).6) Copy and paste the class histograms as they look so far for others to review in the discussion.Peer Reply #1: Review a classmate’s post. Respond to them as a friend. In a few sentences, explain to them what the Central Limit Theorem says referencing the mean for their Nickel Sample, Dime Sample, and Quarter Sample. See Example.Peer Reply #2: Review another classmates’ post. Respond to them as a friend. What do you notice about the shape of the histograms for the Nickel samples, Dime samples, and Quarter samples. Do any of their histograms look normal? What can you infer about a Half Dollar Sample (sample size n = 50)? See Example.Activity based on R.L. Schaeffer et al., Activity-Based Statistics

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Most Popular Content

12 pages

statistics test

2. A random sample of 500 pineapples was taken from a large consignment and 65 were found to be bad. Show that the S.E of ...

statistics test

2. A random sample of 500 pineapples was taken from a large consignment and 65 were found to be bad. Show that the S.E of the proportion of bad ones in a sample of size is 0.015 and deduce that the percentage of bad pineapples in the

Grantham University W7 Coefficient of Determination Worksheet

Week 7 AssignmentQuestion 1Assume you have noted the following prices for paperback books and the number of pages that eac ...

Grantham University W7 Coefficient of Determination Worksheet

Week 7 AssignmentQuestion 1Assume you have noted the following prices for paperback books and the number of pages that each book contains.Develop a least-squares estimated regression line.Compute the coefficient of determination and explain its meaning.Compute the correlation coefficient between the price and the number of pages. Test to see if x and y are related. Use α = 0.10.Question 2The following data represent a company's yearly sales volume and its advertising expenditure over a period of 8 years.Develop a scatter diagram of sales versus advertising and explain what it shows regarding the relationship between sales and advertising.Use the method of least squares to compute an estimated regression line between sales and advertising.If the company's advertising expenditure is $400,000, what are the predicted sales? Give the answer in dollars.What does the slope of the estimated regression line indicate?

10 multiple choice and 5 short answer calculus questions

1.Use your graphing calculator to evaluate . (5 points)0eπ12.Describe the discontinuity for the function . (5 points)Th ...

10 multiple choice and 5 short answer calculus questions

1.Use your graphing calculator to evaluate . (5 points)0eπ12.Describe the discontinuity for the function . (5 points)There is a hole at x = -25.There is a removable discontinuity at x = 5.There is a vertical asymptote at x = 5.There is no discontinuity at x = 5.3.Find . (5 points)Does not exist04.Evaluate . (5 points)∞-∞0-85.Evaluate . (5 points)-20-∞6.Which of the following is the graph of which function has y = -3 as an asymptote? (5 points)y = 3ln(x + 1)7.If is continuous at x = -4, find f(-4). (5 points)4-48-88.Where is discontinuous? (5 points)f(x) is continuous everywherex = 3 and x = -5x = -5x = 39.If f(x) is discontinuous, determine the reason. (5 points)f(x) is continuous for all real numbersThe limit as x approaches 1 does not existf(1) does not equal the limit as x approaches 1f(1) is not defined10.If f(x) is a continuous function defined for all real numbers, f(-10) = -2, f(-8) = 5, and f(x) = 0 for one and only one value of x, then which of the following could be that x value? (5 points)-7-9021.Use the graph below to list the x value(s) where the limits as x approaches from the left and right of those integer values(s) are not equal. (10 points)2.Find . You must show your work or explain your work in words. (10 points)3.Find . You must show your work or explain your work in words. (10 points)4.A ball's position, in meters, as it travels every second is represented by the position function s(t) = 4.9t2 + 350.What is the velocity of the ball after 2 seconds?Include units in your answer. (10 points)5.The cost in dollars of producing x units of a particular telephone is C(x) = x2 - 2500. (10 points)a. Find the average rate of change of C with respect to x when the production level is changed from x = 100 to x = 103. Include units in your answer. b. Find the instantaneous rate of change of C with respect to x when x = 100. Include units in your answer.

Moore College of Art and Design Matched Pairs Statistics Worksheet

Learn by DoingMatched Pairs: In this lab you will learn how
to conduct a matched pairs T-test for a population mean using ...

Moore College of Art and Design Matched Pairs Statistics Worksheet

Learn by DoingMatched Pairs: In this lab you will learn how
to conduct a matched pairs T-test for a population mean using
StatCrunch. We will work with a data set that has historical
importance in the development of the T-test.Paired T hypothesis test:
μD = μ1 - μ2 : Mean of the
difference between Regular seed and Kiln-dried seed
H0 : μD = 0
HA : μD > 0
Hypothesis test results:
Difference
Mean
Std. Err.
DF
T-Stat
P-value
Regular seed - Kiln-dried seed
-33.727273
19.951346
10
-1.6904761
0.9391
Some features of this activity may not work well on a cell phone
or tablet. We highly recommend that you complete this activity on a
computer.Here are the directions, grading rubric, and definition of
high-quality feedback for the Learn by Doing
discussion board exercises.A list of StatCrunch directions is provided at the bottom of
this page.ContextGosset's Seed Plot DataWilliam S. Gosset was employed by the Guinness brewing company
of Dublin. Sample sizes available for experimentation in brewing
were necessarily small. At that time, Gosset contacted a famous
statistician Karl Pearson (1857-1936) and was told that there were
no techniques for developing probability models for small data
sets. Gosset studied under Pearson, and the outcome of his study
was perhaps the most famous paper in statistical literature, "The
Probable Error of a Mean" (1908), which introduced the
T-distribution.Since Gosset was employed by Guinness, any work he produced
would be owned by Guinness, so he published under a pseudonym,
"Student"; hence, the T-distribution is often referred to as
Student's T-distribution.To illustrate his analysis, Gosset used the results of seeding
11 different plots of land with two different types of seed:
regular and kiln-dried. He wanted to determine if drying seeds
before planting increased plant yield. Since different plots of
soil may be naturally more fertile, this confounding variable was
eliminated by using the matched pairs design and planting both
types of seed in all 11 plots.The resulting data (corn yield in pounds per acre) are as
follows.
Plot
Regular seed
Kiln-dried Seed
1
1903
2009
2
1935
1915
3
1910
2011
4
2496
2463
5
2108
2180
6
1961
1925
7
2060
2122
8
1444
1482
9
1612
1542
10
1316
1443
11
1511
1535
We use these data to test the hypothesis that kiln-dried seed
yields more corn than regular seed.Because of the nature of the experimental design (matched
pairs), we are testing the difference in yield.
Plot
Regular seed
Kiln-dried Seed
Difference
1
1903
2009
–106
2
1935
1915
20
3
1910
2011
–101
4
2496
2463
33
5
2108
2180
–72
6
1961
1925
36
7
2060
2122
–62
8
1444
1482
–38
9
1612
1542
70
10
1316
1443
–127
11
1511
1535
–24
Note that the differences were calculated:
regular −
kiln-dried.VariablesRegular seed: regular seeds that were traditionally
used for planting
kiln-dried: seed that were kiln-dried before plantingDataDownload the seed (Links to an external site.) data
file, and then upload the file into StatCrunch.PromptState the hypotheses and define the parameter.Checking conditions: Since Gosset invented the T-distribution,
we will assume that his sample meets the conditions and proceed
with the T-test. Regardless, answer these questions to demonstrate
your understanding of the conditions for use of the T-model.
But first you will need to review the dotplots for the data (opens
in a new tab).
Which graph is used to check conditions? Why?What do we look for in the graph to verify that conditions are
met?What else do we need to know about the sample of seeds before
using the T-test?
Use StatCrunch to find the T-score and the P-value. Hint: as
you work through the StatCrunch directions, keep in mind that we
want to calculate the differences as
regular −
kiln-dried . So you will choose
Regular seed for Sample 1 and kiln-dried seed for
Sample 2. (directions)
Copy and paste the information in the StatCrunch output window into
your initial post.State a conclusion based on the context of this scenario.EXAMPLE TO RIGHT ANSWER1. Ho: μ=0Ha: μ>0The average difference is -33.732. a) We use the graph of the differences because that is what
we are analyzing.b) We look to see if the graph is normally distributed, not
skewed, and doesn't have outliers.c) We don't know if the data is randomly selected.3.Paired T hypothesis test:
μD = μ1 - μ2 : Mean of the
difference between Regular seed and Kiln-dried seed
H0 : μD = 0
HA : μD > 0
Hypothesis test results:
Difference
Mean
Std. Err.
DF
T-Stat
P-value
Regular seed - Kiln-dried seed
-33.727273
19.951346
10
-1.6904761
0.9391
Differences stored in column, Differences.4. Based on the P-value of 0.9391, we do not have enough
evidence to reject the null hypothesis. There is no statistically
significant evidence to show that kiln-dried seeds yield more than
regular seeds.

Research Paper 10-12 Pages (not including title and references pages)

The Final Paper will involve planning and designing a fraud detection program for your employer organization by applying t ...

Research Paper 10-12 Pages (not including title and references pages)

The Final Paper will involve planning and designing a fraud detection program for your employer organization by applying the concepts learned in class. Assume that you have been promoted as the Internal Audit Director of your employer organization. Your employer organization is concerned about the growing trend of fraudulent activities in larger organizations recently and has asked you to plan and design an effective fraud detection program to deter and detect potential fraudulent activities. Consider the following factors in planning and designing a fraud detection program for your employer organization:Consider the provisions of Statement of Auditing Standards No. 99 (SAS 99) concerning the auditor’s responsibility with regard to fraud detection.Gather information to identify the risks of fraud at your employer organization by planning and conducting risk assessment procedures, conducting brainstorming sessions, and inquiring management and company personnel concerning their awareness of frauds with the employer organization.Conduct various analytical procedures by using computer assisted audit tools and techniques (CAATTs).Plan and design a fraud detection program based on the results of the risk assessment procedures conducted above.Evaluate the internal control systems put in place by the employer organization to prevent potential frauds.Outline procedures for evaluating and documenting the evidence gathered by the fraud detection program.Outline the communication procedures to be implemented when communicating the results of the fraud detection program to members of the upper management of your employer organization.Discuss the post-implementation evaluation program to assess the overall effectiveness of the fraud detection program of your employer organization.Requirements:1. 10-12 pages (not including title and reference pages)2. Use at least five scholarly sources in addition to the course text.3. MUST BE APA FORMAT

Purdue University Unit 5 Distribution of Penny Business Statistics Discussion

Topic: Pennies for Your ThoughtsIn many of the problems from last unit, you were given information about the population. F ...

Purdue University Unit 5 Distribution of Penny Business Statistics Discussion

Topic: Pennies for Your ThoughtsIn many of the problems from last unit, you were given information about the population. For many of the variables, you assumed the variable had a normal distribution. What if the variables you are studying are not normally distributed? Here is your challenge – if the population is not normal, can you make any inferences about that population from your random samples?As a class last unit, you have created a population of the ages of pennies. Your instructor will share this Penny Population document with you as an Excel file, that will include the histogram, mean, and standard deviation of this population of penny ages. Your instructor will also share a link to the Sampling Form to be used in step 5. See Example and DB starter video in Unit 5 LiveBinder.Main Post:1) Describe the distribution shape of the population of penny ages (i.e., left skewed, symmetric, right skewed).2) On your copy of the Penny Population document, randomly select 5 penny ages from this population. Calculate the mean of this Nickel Sample (sample size n = 5). How does this compare to the population mean?3) On your copy of the Penny Population document, randomly select 10 penny ages from this population. Calculate the mean of this Dime Sample (sample size n = 10). How does this compare to the population mean?4) On your copy of the Penny Population document, randomly select 25 penny ages from this population. Calculate the mean of this Quarter Sample (sample size n = 25). How does this compare to the population mean?5) Enter your Nickel Sample mean, Dime Sample mean, and Quarter Sample mean in the Sampling Form sent by your instructor. It will generate a histogram of the class means for each sample (Nickel Samples, Dime Samples, and Quarter Samples).6) Copy and paste the class histograms as they look so far for others to review in the discussion.Peer Reply #1: Review a classmate’s post. Respond to them as a friend. In a few sentences, explain to them what the Central Limit Theorem says referencing the mean for their Nickel Sample, Dime Sample, and Quarter Sample. See Example.Peer Reply #2: Review another classmates’ post. Respond to them as a friend. What do you notice about the shape of the histograms for the Nickel samples, Dime samples, and Quarter samples. Do any of their histograms look normal? What can you infer about a Half Dollar Sample (sample size n = 50)? See Example.Activity based on R.L. Schaeffer et al., Activity-Based Statistics

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