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Data will be formatted in a Microsoft Excel document in a style best suited to p

Data will be formatted in a Microsoft Excel document in a style best suited to perform statistical analysis.
I ordered the same assignment with you guys. But the writer ended up doing a T-test with my data which was the wrong one. I need a TWO WAY ANOVA REPEATED MEASURES. for both squat PR results and TMG result. Theres two independent variables.
Im going to attach the work you guys did before. (DATA 2)

COMPLETE: Questions #1, #6, and #8 in Chapter 10 of the Tanner text (pg. 280-284

COMPLETE: Questions #1, #6, and #8 in Chapter 10 of the Tanner text (pg. 280-284) AND Questions #1 and #7 in Chapter 11 of the Tanner text (pg. 304-305) AND Questions #1, #3, #4, #5, #9, and #10 in Chapter 12 of the Tanner text (pg. 326)
2. Suppose that in a random sample of 30 men, the correlation between hours spent working per week and hours spent playing with their children per week is -.50. The men in the sample spent an average of 50 hours per week working, with a standard deviation of 10. They spent an average of 6 hours per week playing with their children, with a standard deviation of 3. If you knew that one man spent 40 hours per week working, how many hours would you predict that he spent playing with his kids?

Continuation of order #434719587 but on a 8-page Word document. I need the same

Continuation of order #434719587 but on a 8-page Word document.
I need the same instructions to be followed + the use of 3 extra sources but use a word document. I need to know if that’s possible and if you need anything else before I proceed with the payment.
Thank you,
jc
Comments from Customer
CUSTOMER’S INSTRUCTIONS FROM PREVIOUS ORDER: Using technology for assessing Normality and find binomial probabilities Assessing Normality: It is often necessary to determine whether sample data appear to be from a normally distributed population, and that determination is helped with the construction of a histogram and normal quantile plot. Refer to Data Set 1 “Body Data” in Appendix B in your textbook. Each student will select 5 out of the 13 columns of data (not including age or gender) and determine whether the data appear to be from a normally distributed population. Use Statdisk or any other technology. (Download a free copy of Statdisk from www.statdisk.org.) You may use any presentation medium you wish as long as you provide the content information outlined above, and your presentation includes some type of audio that accompanies the slides. As such, you may use PowerPoint with voiceover, you can do a screen recording of a Zoom session in which you present your slides, or something else. Make your presentation not only informative but also engaging! Presentations should be no longer than 10 minutes, max!

Hello! This is an introductory class to R studio. I will be attaching the midter

Hello! This is an introductory class to R studio. I will be attaching the midterm pdf and the lecture scriipts so you can understand how to write everything. These are the instructions from the professor:
“Your report should be no more than 2000 words of text and 3 figures, all of which should be publication-quality.
Only PDF or HTML files will be accepted (i.e. make sure to write in .Rmd or Latex). Please also submit the COMMENTED code for your analyses. Anything that doesn’t fit in the text can and should go in the Appendix. File “student_alc_math.csv” contains the data, and “codebook.csv” contains the codebook.
I will attach all the codebooks as well. Please make sure to also write everything in the practicum_alcohol.rmd file I will attach. If you have any questions let me know

Using the dataset provided in the Writing Assignment Folder (UCR violent crime f

Using the dataset provided in the Writing Assignment Folder (UCR violent crime for the
US by region/state in 2017), conduct the appropriate analysis techniques we have covered
during the course between one comparable locale variable (regions/states) and five other
interval level variables of your choosing. To be clear, please choose 5 of the variables
provided-note that totals and rates per 100,000 represent two different variables. Thus,
columns C through U represent the variables you should choose from in selecting your 5.
Once the analyses are completed, write a brief 2 page summary of the findings and
discuss potential reasons of said findings. Note these do not have to be the actual reasons,
I simply want you to critically think about and discuss what could be causing the
correlations logically and discuss in some detail. The assignment must be TYPED with 12 point Times New Roman font, 1-inch margins,
and Double Spaced.

Using the dataset provided in the Writing Assignment Folder (UCR violent crime f

Using the dataset provided in the Writing Assignment Folder (UCR violent crime for the
US by region/state in 2017), conduct the appropriate analysis techniques we have covered
during the course between one comparable locale variable (regions/states) and five other
interval level variables of your choosing. To be clear, please choose 5 of the variables
provided-note that totals and rates per 100,000 represent two different variables. Thus,
columns C through U represent the variables you should choose from in selecting your 5.
Once the analyses are completed, write a brief 2 page summary of the findings and
discuss potential reasons of said findings. Note these do not have to be the actual reasons,
I simply want you to critically think about and discuss what could be causing the
correlations logically and discuss in some detail. The assignment must be TYPED with 12 point Times New Roman font, 1-inch margins,
and Double Spaced.

Using the dataset provided in the Writing Assignment Folder (UCR violent crime f

Using the dataset provided in the Writing Assignment Folder (UCR violent crime for the
US by region/state in 2017), conduct the appropriate analysis techniques we have covered
during the course between one comparable locale variable (regions/states) and five other
interval level variables of your choosing. To be clear, please choose 5 of the variables
provided-note that totals and rates per 100,000 represent two different variables. Thus,
columns C through U represent the variables you should choose from in selecting your 5.
Once the analyses are completed, write a brief 2 page summary of the findings and
discuss potential reasons of said findings. Note these do not have to be the actual reasons,
I simply want you to critically think about and discuss what could be causing the
correlations logically and discuss in some detail. The assignment must be TYPED with 12 point Times New Roman font, 1-inch margins,
and Double Spaced.

Lisa Sedlar, CEO and founder of Green Zebra was preparing for a $10 million rais

Lisa Sedlar, CEO and founder of Green Zebra was preparing for a $10 million raise from venture capital funders, to finance a West Coast expansion of her convenience store chain, Green Zebra Grocery. Lisa Sedlar describes Green Zebra’s market positioning as a “cross between a Whole Foods and a 7-11”. The mission of Green Zebra is “to make healthy, natural, and organic food accessible to all, particularly in dense urban neighborhoods where there are fewer fresh and organic grocery options.”
Urban convenience stores dedicated to food retailing were a growing trend among the incumbent operators such as Kwik Trip Inc., Quick-Trip Corp., and 7-Eleven. These firms were responding to competitive pressures in the urban convenience store market as Walgreens, Amazon, and discount retailers began to test various convenience store formats. Shortly after her press release announcing plans to expand the Green Zebra chain, Amazon announced a 3,000-store national expansion of Amazon-Go.
Sedlar needs evidence that would validate her current value proposition, or she needed to make the decision to revise her customer value proposition and demonstrate that Green Zebra offered a differentiated advantage in the convenience store market. Sedlar could not conduct a full-scale customer survey to validate her current customer value proposition, so she used social media content (online product reviews, Instagram photos, or blog posts) as the source of data to develop customer insights.
Answer the following questions:
Describe the themes that were extracted from user-generated content, and used to analyze Green Zebra and its competitors.
Describe the specific analytical techniques that you would use to analyze the customer posts.
What are the major positive themes for Green Zebra?
What are the areas of improvement based on user-generated content?
Describe the convenience store market using Porter’s 5 Forces framework.
What is the customer value proposition of Green Zebra? Do the data support the customer value proposition? Explain specifically why or why not.
Should Sedlar pivot her strategy? Explain specifically why or why not. If she pivots, what assumption/uncertainty should she test first?

Topic: Is there a Correlation? Main Post(POST1): Consider the dataset that you a

Topic: Is there a Correlation?
Main Post(POST1): Consider the dataset that you analyzed in Unit 1. If your dataset did not have two quantitative variables or if you would prefer using a different dataset, visit the dataset link to select a new data set of interest to you. See Example and DB starter video (https://youtu.be/1a2amGcvjDc) in Unit 8 LiveBinder.
Determine the following information on your selected data set. Be sure to answer all questions using complete sentences.
1. State the dataset and the two quantitative variables of interest. Do you think there might be a correlation between the two variables (before you analyze the data)? Why or why not.
2. Create a scatterplot with a simple linear regression. Attach the scatterplot to your post.
3. Run the regression analysis in Excel Data Analysis. Share the output.
4. What is the coefficient of determination r2? Summarize the results by stating whether this is a strong or weak relationship. State whether it is a positive or negative relationship. Is this result what you expected?
5. Use the regression analysis output to determine the linear regression (best fit prediction line) equation.
Peer Reply #1 (POST2): Choose a classmate’s post and review the linear regression (prediction line) equation. Select a value for the independent variable X and calculate the predicted Y. Be sure to show your work. Does the predicted value seem reasonable? See Example.
—————————SEE ATTACHMENT———————–
Peer Reply #2(POST3): Choose another classmate’s post. Further the math conversation by commenting on the correlation between the two variables and why you believe the regression equation is a good or poor model for prediction. See Example.
—————————SEE ATTACHMENT———————–
Comments from Customer
Discipline: Business Statistics and Quantitative Analysis

Topic: Is there a Correlation? Main Post(POST1): Consider the dataset that you a

Topic: Is there a Correlation?
Main Post(POST1): Consider the dataset that you analyzed in Unit 1. If your dataset did not have two quantitative variables or if you would prefer using a different dataset, visit the dataset link to select a new data set of interest to you. See Example and DB starter video (https://youtu.be/1a2amGcvjDc) in Unit 8 LiveBinder.
Determine the following information on your selected data set. Be sure to answer all questions using complete sentences.
1. State the dataset and the two quantitative variables of interest. Do you think there might be a correlation between the two variables (before you analyze the data)? Why or why not.
2. Create a scatterplot with a simple linear regression. Attach the scatterplot to your post.
3. Run the regression analysis in Excel Data Analysis. Share the output.
4. What is the coefficient of determination r2? Summarize the results by stating whether this is a strong or weak relationship. State whether it is a positive or negative relationship. Is this result what you expected?
5. Use the regression analysis output to determine the linear regression (best fit prediction line) equation.
Peer Reply #1 (POST2): Choose a classmate’s post and review the linear regression (prediction line) equation. Select a value for the independent variable X and calculate the predicted Y. Be sure to show your work. Does the predicted value seem reasonable? See Example.
—————————SEE ATTACHMENT———————–
Peer Reply #2(POST3): Choose another classmate’s post. Further the math conversation by commenting on the correlation between the two variables and why you believe the regression equation is a good or poor model for prediction. See Example.
—————————SEE ATTACHMENT———————–
Comments from Customer
Discipline: Business Statistics and Quantitative Analysis