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Range of Intensity =5-1=4
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d. 4
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Statistics
This data set contains information on 78 people using one of three diets. 1. Was there a difference in weight lost among t ...
Statistics
This data set contains information on 78 people using one of three diets. 1. Was there a difference in weight lost among the three diets? If so, which ...
Bellevue University Calculating Markup Dollars Percentages and Pricing Questions
The ability to calculate margin percentages and dollars is not only useful to assess performance, it is also critical for ...
Bellevue University Calculating Markup Dollars Percentages and Pricing Questions
The ability to calculate margin percentages and dollars is not only useful to assess performance, it is also critical for setting retail prices that maintain or increase margins to ensure profitability. Scenario:Jimmy works in a kitchen supply store that sells kitchen fixtures, products, and accessories. He helps the store’s owner buy new products and prices the merchandise for sale. During their spring buying trip to Chicago, the store’s owner purchased some new stainless steel pots for the summer season, at a cost of $32.00 per pot. When they returned from the buying trip, Jimmy was asked to calculate some numbers by the owner. Following are the results of Jimmy’s calculations:Over the last quarter:expenses averaged 35%markdowns averaged 12%profit averaged 4.5%The store’s planned net sales for the year are $325,000.During an earlier buying trip, the store’s owner got great pricing on some pot-hanging racks and wooden ladles that can be grouped together with the new stainless steel pots in the store. Jimmy already priced the racks and ladles, as follows:1 dozen hanging racks were purchased at $20 each. They will have a retail price of $42 each.18 wooden ladles were purchased at $18 each. They will have a retail price of $38 each.The store’s owner directed Jimmy to determine the average margin of this group of products to make sure that the targeted margin percentage for the store will be met.Instructions:Research the influence of various pricing strategies on product sell thru.Use the information in the scenario to answer the following questions:
Based on Jimmy’s results, calculate the initial markup percentage for the new stainless steel pots. Use the cost complement method to determine the initial retail price for the new pots. Include the calculations used to determine your answer.Based on the calculations used to determine the retail price in the previous question, what actual retail price would you recommend that Jimmy suggest for the new stainless steel pots? Justify your recommendation.If the store’s owner bought 2 dozen stainless steel pots, what would be the average margin percentage for the grouping of pots, hanging racks, and wooden ladles? The owner of the store tells Jimmy that he wants to achieve a 51.6% margin % for the store. Considering the owner’s targeted margin percentage, how does the average margin % for the group of products in the previous question compare with this target, and what should Jimmy suggest in order to bring the average margin for the group of products closer to the owner’s targeted percentage?Explain the benefits of using margin calculations to assess category performance when compared to store plans and goals. Use examples to support your explanation.Compose a final paragraph summarizing your answers to the preceding questions, so that your final post is a minimum of five paragraphs in length. Research and use at least one outside source to support your conclusions
Moore College of Art and Design ANOVA F Test Using StatCrunch Project
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunc ...
Moore College of Art and Design ANOVA F Test Using StatCrunch Project
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunch.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 and grading rubric for the discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the
frequency of the flicker is below a certain threshold, the eye detects
the flicker, and it is annoying!Different people have different flicker "threshold" frequencies (known as the critical flicker frequency, or CFF). The mean critical threshold frequency is important for product manufacturing as well as tests for ocular disease.In 1973, researchers conducted a study to answer the following question.Research question: Do people with different eye color have different threshold flicker sensitivity?The 1973 study ("The Effect of Iris Color on Critical Flicker Frequency," Journal of General Psychology [1973], 91–95) obtained the following data from a random sample of 19 subjects.
Color
ThresholdFrequency (CFF)
Blue
Brown
Green
Brown
26.8
25.7
26.8
26.4
Brown
27.9
27.2
27.9
24.2
Brown
23.7
29.9
23.7
28
Brown
25.0
28.5
25
26.9
Brown
26.3
29.4
26.3
29.1
Brown
24.8
28.3
24.8
Brown
25.7
25.7
Brown
24.5
24.5
Green
26.4
Green
24.2
Green
28.0
Green
26.9
Green
29.1
Blue
25.7
Blue
27.2
Blue
29.9
Blue
28.5
Blue
29.4
Blue
28.3
In this spreadsheet the data is presented in two formats.Stacked data: The quantitative data is stacked in one column. The first two columns show the data in a stacked format.
Each variable is a column (one column for the explanatory variable eye
color; one column for the response variable CFF) and each row is an
individual. For example, the first row is a brown-eyed person with a CFF
of 26.8.Unstacked data: The quantitative data is distributed across the groups in multiple columns. The last three columns show the same data in an unstacked format.
In this format, each column is a group defined by a value of the
explanatory variable: one column for blue-eyed people, one column for
brown-eyed people and one column for green-eyed people. Each column
contains the response values (CFF) for that group.The format of the data in the spreadsheet affects how we use StatCrunch to analyze it.VariablesColor: This is the explanatory variable. The categorical data represents the groups we will compare.CFF (flicker threshold sensitivity): This is the response variable. The quantitative data represents the frequency threshold at which the subject sees the flicker. use the Data below PromptWe will conduct an ANOVA F-test for the variables Color and CFF. The flicker datafile is available in the Data section below. Also, the StatCrunch directions are provided in the list a the bottom of this page.What are the hypotheses for the ANOVA test? Be sure that you define clearly the parameters.
Are the conditions that allow us to safely use the ANOVA F-test met? Explain.Note:
To verify conditions, you will need to examine the distribution of CFF
scores for each sample (because the samples are small).
Use StatCrunch to create side-by-side dotplots, histograms or
boxplots (your choice) to examine the distribution of CFF scores for
each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data
in the the last three columns). To create the side-by-side graphs (for
either data format) see the list of StatCrunch directions below.
Download the StatCrunch output window (your graph), upload it to your Stats-Class
folder, and then embed the .png file (your graph) in your initial post.
To recall how to complete these tasks, see the list of StatCrunch
directions below.
You will also need to compare the sample standard deviations. Use
StatCrunch to find the summary statistics, means and standard deviations
for the comparison groups (select the the appropriate Descriptive
Statistics StatCrunch directions from the list below). Then copy and
paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met.
Use StatCrunch to carry out the ANOVA F-test (select the appropriate
ANOVA StatCrunch directions from the following two options). Copy and paste the output table into your initial post.
State your conclusion in context of eye color and mean CFF.
Harvard University Practice Patterns of Dr Jones and Smith Excel Project
Question A: In the following question analyze the data.Assume that we have followed two clinicians, Smith and Jones, and c ...
Harvard University Practice Patterns of Dr Jones and Smith Excel Project
Question A: In the following question analyze the data.Assume that we have followed two clinicians, Smith and Jones, and constructed the decision trees in Figure 1.
Use the followingdata
Figure 1:Practice Patterns of Dr. Jones and Smith
1.What is the expected length of stay for each of the clinicians?
2.What is the expected length of stay for Dr. Smith if he were to take care of patients of Dr. Jones?
3.What is the expected length of stay for Dr. Jones if he were to take of patients of Dr. Smith?
Question B: The following data report length of stay (LOS) for 10 patients of Dr. Jones and 10 patients of Dr. Smith. What is the expected outcome (average outcome) for Dr. Smith? What is the expected outcomes if Dr. Jones if he was seeing Dr. Smith's patients? To answer this question, replace each outcome of Dr. Jones with average outcome of same type of patient seen by Dr. Smith. Is Dr. Smith more efficient than Dr. Jones?
Dr. Smith
Patient
Previous MI
CHF
Shock
LOS
1
1
1
0
4
2
1
1
0
5
3
1
0
0
4
4
1
0
1
5
5
1
0
1
4
6
1
0
1
4
7
1
0
1
5
8
0
0
0
2
9
0
0
0
2
10
0
0
0
1
Dr. Jones
Patient
Previous MI
CHF
Shock
LOS
1
1
1
0
5
2
1
1
0
5
3
1
1
0
5
4
1
1
1
5
5
1
0
1
5
6
1
0
1
5
7
1
0
1
5
8
1
0
0
4
9
0
0
0
2
10
0
0
0
2
Question C: In data presented in question B, what is the expected outcome if Dr. Smith sees patients of Dr. Jones?Note that Dr. Smith does not see any patient like patient 4 of Dr. Jones.We need to estimate a synthetic control for this patient.To do so, filter the data for patients of Dr. Smith (this is already done since the data of Dr. Smith is presented separately).Regress length of stay on previous MI, CHF, and Shock.You learned about regression in the first part of this course. Evaluate the regression equation at values corresponding to the condition of patient 8 of Dr. Jones.Use the regression prediction of length of stay to create a synthetic patient for Dr. Smith and calculate the expected outcome for Dr. Smith seeing patients of Dr. Jones.
Statistical Significance
To prepare for this Discussion:Review the Learning Resources related to hypothesis testing, meaningfulness, and statistica ...
Statistical Significance
To prepare for this Discussion:Review the Learning Resources related to hypothesis testing, meaningfulness, and statistical significance.Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of statistical power and significance testing.Review the American Statistical Association’s press release and consider the misconceptions and misuse of p-values.Consider the scenario:A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.”By Day 3Post your response to the scenario in which you critically evaluate this footnote. As a reader/reviewer, what response would you provide to the authors about this footnote?Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
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Most Popular Content
4 pages
Statistics
This data set contains information on 78 people using one of three diets. 1. Was there a difference in weight lost among t ...
Statistics
This data set contains information on 78 people using one of three diets. 1. Was there a difference in weight lost among the three diets? If so, which ...
Bellevue University Calculating Markup Dollars Percentages and Pricing Questions
The ability to calculate margin percentages and dollars is not only useful to assess performance, it is also critical for ...
Bellevue University Calculating Markup Dollars Percentages and Pricing Questions
The ability to calculate margin percentages and dollars is not only useful to assess performance, it is also critical for setting retail prices that maintain or increase margins to ensure profitability. Scenario:Jimmy works in a kitchen supply store that sells kitchen fixtures, products, and accessories. He helps the store’s owner buy new products and prices the merchandise for sale. During their spring buying trip to Chicago, the store’s owner purchased some new stainless steel pots for the summer season, at a cost of $32.00 per pot. When they returned from the buying trip, Jimmy was asked to calculate some numbers by the owner. Following are the results of Jimmy’s calculations:Over the last quarter:expenses averaged 35%markdowns averaged 12%profit averaged 4.5%The store’s planned net sales for the year are $325,000.During an earlier buying trip, the store’s owner got great pricing on some pot-hanging racks and wooden ladles that can be grouped together with the new stainless steel pots in the store. Jimmy already priced the racks and ladles, as follows:1 dozen hanging racks were purchased at $20 each. They will have a retail price of $42 each.18 wooden ladles were purchased at $18 each. They will have a retail price of $38 each.The store’s owner directed Jimmy to determine the average margin of this group of products to make sure that the targeted margin percentage for the store will be met.Instructions:Research the influence of various pricing strategies on product sell thru.Use the information in the scenario to answer the following questions:
Based on Jimmy’s results, calculate the initial markup percentage for the new stainless steel pots. Use the cost complement method to determine the initial retail price for the new pots. Include the calculations used to determine your answer.Based on the calculations used to determine the retail price in the previous question, what actual retail price would you recommend that Jimmy suggest for the new stainless steel pots? Justify your recommendation.If the store’s owner bought 2 dozen stainless steel pots, what would be the average margin percentage for the grouping of pots, hanging racks, and wooden ladles? The owner of the store tells Jimmy that he wants to achieve a 51.6% margin % for the store. Considering the owner’s targeted margin percentage, how does the average margin % for the group of products in the previous question compare with this target, and what should Jimmy suggest in order to bring the average margin for the group of products closer to the owner’s targeted percentage?Explain the benefits of using margin calculations to assess category performance when compared to store plans and goals. Use examples to support your explanation.Compose a final paragraph summarizing your answers to the preceding questions, so that your final post is a minimum of five paragraphs in length. Research and use at least one outside source to support your conclusions
Moore College of Art and Design ANOVA F Test Using StatCrunch Project
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunc ...
Moore College of Art and Design ANOVA F Test Using StatCrunch Project
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunch.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 and grading rubric for the discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the
frequency of the flicker is below a certain threshold, the eye detects
the flicker, and it is annoying!Different people have different flicker "threshold" frequencies (known as the critical flicker frequency, or CFF). The mean critical threshold frequency is important for product manufacturing as well as tests for ocular disease.In 1973, researchers conducted a study to answer the following question.Research question: Do people with different eye color have different threshold flicker sensitivity?The 1973 study ("The Effect of Iris Color on Critical Flicker Frequency," Journal of General Psychology [1973], 91–95) obtained the following data from a random sample of 19 subjects.
Color
ThresholdFrequency (CFF)
Blue
Brown
Green
Brown
26.8
25.7
26.8
26.4
Brown
27.9
27.2
27.9
24.2
Brown
23.7
29.9
23.7
28
Brown
25.0
28.5
25
26.9
Brown
26.3
29.4
26.3
29.1
Brown
24.8
28.3
24.8
Brown
25.7
25.7
Brown
24.5
24.5
Green
26.4
Green
24.2
Green
28.0
Green
26.9
Green
29.1
Blue
25.7
Blue
27.2
Blue
29.9
Blue
28.5
Blue
29.4
Blue
28.3
In this spreadsheet the data is presented in two formats.Stacked data: The quantitative data is stacked in one column. The first two columns show the data in a stacked format.
Each variable is a column (one column for the explanatory variable eye
color; one column for the response variable CFF) and each row is an
individual. For example, the first row is a brown-eyed person with a CFF
of 26.8.Unstacked data: The quantitative data is distributed across the groups in multiple columns. The last three columns show the same data in an unstacked format.
In this format, each column is a group defined by a value of the
explanatory variable: one column for blue-eyed people, one column for
brown-eyed people and one column for green-eyed people. Each column
contains the response values (CFF) for that group.The format of the data in the spreadsheet affects how we use StatCrunch to analyze it.VariablesColor: This is the explanatory variable. The categorical data represents the groups we will compare.CFF (flicker threshold sensitivity): This is the response variable. The quantitative data represents the frequency threshold at which the subject sees the flicker. use the Data below PromptWe will conduct an ANOVA F-test for the variables Color and CFF. The flicker datafile is available in the Data section below. Also, the StatCrunch directions are provided in the list a the bottom of this page.What are the hypotheses for the ANOVA test? Be sure that you define clearly the parameters.
Are the conditions that allow us to safely use the ANOVA F-test met? Explain.Note:
To verify conditions, you will need to examine the distribution of CFF
scores for each sample (because the samples are small).
Use StatCrunch to create side-by-side dotplots, histograms or
boxplots (your choice) to examine the distribution of CFF scores for
each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data
in the the last three columns). To create the side-by-side graphs (for
either data format) see the list of StatCrunch directions below.
Download the StatCrunch output window (your graph), upload it to your Stats-Class
folder, and then embed the .png file (your graph) in your initial post.
To recall how to complete these tasks, see the list of StatCrunch
directions below.
You will also need to compare the sample standard deviations. Use
StatCrunch to find the summary statistics, means and standard deviations
for the comparison groups (select the the appropriate Descriptive
Statistics StatCrunch directions from the list below). Then copy and
paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met.
Use StatCrunch to carry out the ANOVA F-test (select the appropriate
ANOVA StatCrunch directions from the following two options). Copy and paste the output table into your initial post.
State your conclusion in context of eye color and mean CFF.
Harvard University Practice Patterns of Dr Jones and Smith Excel Project
Question A: In the following question analyze the data.Assume that we have followed two clinicians, Smith and Jones, and c ...
Harvard University Practice Patterns of Dr Jones and Smith Excel Project
Question A: In the following question analyze the data.Assume that we have followed two clinicians, Smith and Jones, and constructed the decision trees in Figure 1.
Use the followingdata
Figure 1:Practice Patterns of Dr. Jones and Smith
1.What is the expected length of stay for each of the clinicians?
2.What is the expected length of stay for Dr. Smith if he were to take care of patients of Dr. Jones?
3.What is the expected length of stay for Dr. Jones if he were to take of patients of Dr. Smith?
Question B: The following data report length of stay (LOS) for 10 patients of Dr. Jones and 10 patients of Dr. Smith. What is the expected outcome (average outcome) for Dr. Smith? What is the expected outcomes if Dr. Jones if he was seeing Dr. Smith's patients? To answer this question, replace each outcome of Dr. Jones with average outcome of same type of patient seen by Dr. Smith. Is Dr. Smith more efficient than Dr. Jones?
Dr. Smith
Patient
Previous MI
CHF
Shock
LOS
1
1
1
0
4
2
1
1
0
5
3
1
0
0
4
4
1
0
1
5
5
1
0
1
4
6
1
0
1
4
7
1
0
1
5
8
0
0
0
2
9
0
0
0
2
10
0
0
0
1
Dr. Jones
Patient
Previous MI
CHF
Shock
LOS
1
1
1
0
5
2
1
1
0
5
3
1
1
0
5
4
1
1
1
5
5
1
0
1
5
6
1
0
1
5
7
1
0
1
5
8
1
0
0
4
9
0
0
0
2
10
0
0
0
2
Question C: In data presented in question B, what is the expected outcome if Dr. Smith sees patients of Dr. Jones?Note that Dr. Smith does not see any patient like patient 4 of Dr. Jones.We need to estimate a synthetic control for this patient.To do so, filter the data for patients of Dr. Smith (this is already done since the data of Dr. Smith is presented separately).Regress length of stay on previous MI, CHF, and Shock.You learned about regression in the first part of this course. Evaluate the regression equation at values corresponding to the condition of patient 8 of Dr. Jones.Use the regression prediction of length of stay to create a synthetic patient for Dr. Smith and calculate the expected outcome for Dr. Smith seeing patients of Dr. Jones.
Statistical Significance
To prepare for this Discussion:Review the Learning Resources related to hypothesis testing, meaningfulness, and statistica ...
Statistical Significance
To prepare for this Discussion:Review the Learning Resources related to hypothesis testing, meaningfulness, and statistical significance.Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of statistical power and significance testing.Review the American Statistical Association’s press release and consider the misconceptions and misuse of p-values.Consider the scenario:A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.”By Day 3Post your response to the scenario in which you critically evaluate this footnote. As a reader/reviewer, what response would you provide to the authors about this footnote?Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
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