Categories
Statistics

Comments from Customer Oh one more thing could you please tell the writer use th

Comments from Customer
Oh one more thing could you please tell the writer use the file I uploaded file name: 496043968_Final_Exam_Takehome_part_data_F22_6139885252645814.xlsx

Categories
Statistics

Resources: Pastas R Us, Inc. Database & Microsoft Excel®, Wk 1: Descriptive Stat

Resources: Pastas R Us, Inc. Database & Microsoft Excel®, Wk 1: Descriptive Statistics Analysis Assignment
Purpose
This assignment is intended to help you learn how to apply statistical methods when analyzing operational data, evaluating the performance of current marketing strategies, and recommending actionable business decisions. This is an opportunity to build critical-thinking and problem-solving skills within the context of data analysis and interpretation. You’ll gain a first-hand understanding of how data analytics supports decision-making and adds value to an organization.
Scenario:
Pastas R Us, Inc. is a fast-casual restaurant chain specializing in noodle-based dishes, soups, and salads. Since its inception, the business development team has favored opening new restaurants in areas (within a 3-mile radius) that satisfy the following demographic conditions:
Median age between 25 – 45 years old
Household median income above national average
At least 15% college educated adult population
Last year, the marketing department rolled out a Loyalty Card strategy to increase sales. Under this program, customers present their Loyalty Card when paying for their orders and receive some free food after making 10 purchases.
The company has collected data from its 74 restaurants to track important variables such as average sales per customer, year-on-year sales growth, sales per sq. ft., Loyalty Card usage as a percentage of sales, and others. A key metric of financial performance in the restaurant industry is annual sales per sq. ft. For example, if a 1200 sq. ft. restaurant recorded $2 million in sales last year, then it sold $1,667 per sq. ft.
Executive management wants to know whether the current expansion criteria can be improved. They want to evaluate the effectiveness of the Loyalty Card marketing strategy and identify feasible, actionable opportunities for improvement. As a member of the analytics department, you’ve been assigned the responsibility of conducting a thorough statistical analysis of the company’s available database to answer executive management’s questions.
Report:
Write a 550-word statistical report that includes the following sections:
Section 1: Scope and descriptive statistics
Section 2: Analysis
Section 3: Recommendations and Implementation
Section 1 – Scope and descriptive statistics
State the report’s objective.
Discuss the nature of the current database. What variables were analyzed?
Summarize your descriptive statistics findings from Excel. Use a table and insert appropriate graphs.
Section 2 – Analysis
Using Excel, create scatter plots and display the regression equations for the following pairs of variables:
“BachDeg%” versus “Sales/SqFt”
“MedIncome” versus “Sales/SqFt”
“MedAge” versus “Sales/SqFt”
“LoyaltyCard(%)” versus “SalesGrowth(%)”
In your report, include the scatter plots. For each scatter plot, designate the type of relationship observed (increasing/positive, decreasing/negative, or no relationship) and determine what you can conclude from these relationships.
Section 3: Recommendations and implementation
Based on your findings above, assess which expansion criteria seem to be more effective. Could any expansion criterion be changed or eliminated? If so, which one and why?
Based on your findings above, does it appear as if the Loyalty Card is positively correlated with sales growth? Would you recommend changing this marketing strategy?
Based on your previous findings, recommend marketing positioning that targets a specific demographic. (Hint: Are younger people patronizing the restaurants more than older people?)
Indicate what information should be collected to track and evaluate the effectiveness of your recommendations. How can this data be collected? (Hint: Would you use survey/samples or census?)
Cite references to support your assignment.
Format your citations according to APA guidelines.
Submit your assignment.
Resources
Center for Writing Excellence
Reference and Citation Generator
Grammar Assistance

Categories
Statistics

The task must be done using the psych package in R. The codes should be run on R

The task must be done using the psych package in R. The codes should be run on R Markdown and knit to word document so that I have all the codes included with the results.
Comments from Customer
R file should have all the calculations and word document – just questions and answers.

Categories
Statistics

This is a saved document that contains my canvas online homework questions. I wa

This is a saved document that contains my canvas online homework questions. I was able to download it and save it and upload to this to hopefully have the questions answered.

Categories
Statistics

The task must be done using the psych package in R. The codes should be run on R

The task must be done using the psych package in R. The codes should be run on R Markdown and knit to word document so that I have all the codes included with the results.
Comments from Customer
R file should have all the calculations and word document – just questions and answers.

Categories
Statistics

Elizabeth Burke has received several questions from other PLE managers regarding

Elizabeth Burke has received several questions from other PLE managers regarding quality, customer satisfaction, and operational performance. She would like you to summarize some data from the Performance Lawn Equipment Database using statistical tools and analysis:
1. Frequency distributions and histograms for the data in the Customer Survey worksheet
2. Descriptive statistical measures for engine production time in the worksheet Engines
3. A frequency distribution and histogram for the blade weight samples in the worksheet Blade Weight
4. The proportion of samples that failed the functional performance test in the worksheet Mower Test
5. PivotTables that summarize the data and provide useful insights in the worksheet Employee Retention
6. Correlations among the satisfaction survey variables in the worksheet Purchasing Survey
Write a report that clearly shows these results and explain the key insight
Comments from Customer
I want the updates on the excel file I uploaded and a summary for the solutions in word document.

Categories
Statistics

Instructions: Please find 6 journal articles for each type of statistic in the l

Instructions: Please find 6 journal articles for each type of statistic in the list. 1. descriptive 2. confidence interval 3. one sample t test 4. independent t test 5. depend t test and 6. Pearson correlation coefficient.
for each article answer the following questions in the pdf file and use the file as a template as well.

Categories
Statistics

Elizabeth Burke has received several questions from other PLE managers regarding

Elizabeth Burke has received several questions from other PLE managers regarding quality, customer satisfaction, and operational performance. She would like you to summarize some data from the Performance Lawn Equipment Database using statistical tools and analysis:
1. Frequency distributions and histograms for the data in the Customer Survey worksheet
2. Descriptive statistical measures for engine production time in the worksheet Engines
3. A frequency distribution and histogram for the blade weight samples in the worksheet Blade Weight
4. The proportion of samples that failed the functional performance test in the worksheet Mower Test
5. PivotTables that summarize the data and provide useful insights in the worksheet Employee Retention
6. Correlations among the satisfaction survey variables in the worksheet Purchasing Survey
Write a report that clearly shows these results and explain the key insight
Comments from Customer
I want the updates on the excel file I uploaded and a summary for the solutions in word document.

Categories
Statistics

Data Description One measure of forced expiratory volume (FEV) is the amount of

Data Description
One measure of forced expiratory volume (FEV) is the amount of air an individual can exhale in the first second of a forceful breath. Bernard Rosner et al studied the long-term effects of smoking and second-hand smoke.1 They also measured the FEV of teens. The original data source from Rosner’s cross-sectional study2 of subjects under age 19 included the variables: age, height, sex, smoking status, and FEV. The dataset was later provided to Michael Kahn for educational purposes.3
For the current inquiry, we are interested in whether teens who smoke have a lower FEV on average than teens who do not smoke. We included subjects aged 13-15 only.
The data may be obtained from the following spreadsheet and copied and pasted into StatCrunch: SIP_Data__FEV.csvDownload SIP_Data__FEV.csv
Statistical Analyses
Treat the data as a random sample and perform a total of four hypothesis tests. One for the overall group of teenage subjects, and one for each age group: 13-year-olds, 14-year-olds, and 15-year-olds. For each test, use the mean FEV of nonsmokers in the associated group as the null hypothesis. Do the data suggest that the mean FEV of smokers is less than the mean FEV of nonsmokers? Perform all tests at a significance level of = 0.05.
Hypothesis Test Considerations
For each hypothesis test include the following:
State null and alternative hypotheses clearly regarding the well-defined parameter of interest.
Provide summary statistics such as sample mean and sample standard deviation.
Satisfy all conditions required to perform the test, supplying a normal probability plot and boxplot where needed.
Interpret the meaning of the calculated test statistic within its proper context.
Interpret the meaning of the calculated P-value within its proper context.
State an accurate decision and conclusion of the test.
Implications of the Study
Address the bulleted ideas below regarding study outcomes. Other variables within the dataset or information from another cited source may be used, though not required.
Discuss in detail the similarities and the differences among the results of the four hypothesis tests.
What are the implications of this study in terms of the pulmonary function of teens?
What are the limits of the conclusions drawn about the pulmonary function of teens?
Speculate about potential biases of this study, the effects of potentially confounding variables, and/or subsequent research ideas.
SIP Report Template
Download and use the following template to ensure adherence to requirements: SIP Report Template FA2022.docx
Submit a 1–2-page report (single-spaced, 11-pt or 12-pt, Times New Roman font, with 0.7 margins) as a Microsoft Word document. Canvas utilizes a plagiarism detection program named UniCheck for all submissions.
References
1Tager, I., Weiss, S., Rosner, B., and Speizer, F. (1979), “Effect of Parental Cigarette Smoking on the Pulmonary Function of Children,” American Journal of Epidemiology, 110(1), 15-26.
2Rosner, B. (1999), Fundamentals of Biostatistics, 5th ed., Pacific Grove, CA: Duxbury.
3Kahn, M. (2003), “Data Sleuth,” STATS, 37, 24. http://jse.amstat.org/v13n2/datasets.kahn.html
Links to an external site.
SIP Report of Inferential Statistics (1)
SIP Report of Inferential Statistics (1)
Criteria Ratings Pts
Methodology: Hypotheses
view longer description
8 pts
Capstone
Four sets of null and alternative hypotheses are stated clearly and accurately regarding specified parameters of populations that are well-defined.
6 pts
Milestone
Four hypotheses are stated with accurate parameters. OR; At least two hypotheses are stated with accurate parameters and clear understanding of the populations of interest.
4 pts
Benchmark
At least one of the hypotheses is stated accurately and at least one clear description of a population of interest.
0 pts
No Marks
Research hypotheses are not stated accurately and a clear description of a population of interest is missing.
/ 8 pts
Methodology: Sample statistics and the sampling distribution
8 pts
Capstone
Accurate sample statistics of four data sets are reported; and the type of test used is justified by the sampling distribution. Normal probability plots are included in the Appendix as needed.
6 pts
Milestone
Accurate sample statistics of at least two data sets are reported; and the type of test used is justified by the sampling distribution. A normal probability plot may be included in the Appendix.
4 pts
Benchmark
Accurate sample statistics of at least one data set are reported.
0 pts
No Marks
Sample statistics of the data are missing.
/ 8 pts
Findings: Test statistics and interpretation
8 pts
Capstone
Accurate reporting and interpretation of the four test statistics.
6 pts
Milestone
Accurate reporting and interpretation of at least two test statistics.
4 pts
Benchmark
Accurate reporting of at least two test statistics. OR; Accurate reporting and interpretation of one test statistic.
0 pts
No Marks
Test statistics are not reported or interpreted.
/ 8 pts
Findings: P-values and interpretation
8 pts
Capstone
Accurate reporting and interpretation of the four P-values.
6 pts
Milestone
Accurate reporting and interpretation of at least two P-values.
4 pts
Benchmark
Accurate reporting of at least two P-values. OR; Accurate reporting and interpretation of one P-value.
0 pts
No Marks
P-values are not reported or interpreted.
/ 8 pts
Findings: Decisions and conclusions
8 pts
Capstone
Each of the four test decisions are supported by the calculated P-value; and the associated conclusions regarding research hypotheses are stated clearly.
6 pts
Milestone
At least two of the test decisions are supported by the calculated P-value; and the associated conclusions regarding research hypotheses are stated clearly.
4 pts
Benchmark
At least two of the test decisions are supported by the calculated P-value. OR; One test decision is supported by the calculated P-value and the associated conclusion regarding the research hypothesis is stated clearly.
0 pts
No Marks
Test decisions are not supported by the P-values.
/ 8 pts
Implications: Test comparisons
4 pts
Capstone
Similarities and differences among the results of the four hypothesis tests are summarized in a proper context.
3 pts
Milestone
Similarities and differences among the results of at least two hypothesis tests are summarized in a proper context.
2 pts
Benchmark
A similarity and/or difference among the results of at least two hypothesis tests are simply stated.
0 pts
No Marks
Similarities and/or differences of hypothesis test results are not mentioned.
/ 4 pts
Implications: Impact and limitations
view longer description
4 pts
Capstone
Reasonable conclusions are inferred and elaborated about the populations of interest with respect to the results of the study. At least two limitations are addressed regarding the conclusions that were drawn.
3 pts
Milestone
At least one conclusion based on the study and one limitation of said conclusion is stated.
2 pts
Benchmark
One conclusion or one limitation of the study is stated.
0 pts
No Marks
Impact and limitations of the study are not addressed.
/ 4 pts
Implications: Speculation
view longer description
4 pts
Capstone
Speculation of bias and/or confounding variables are expressly stated. AND/OR; A description is provided of what future research should look like as a follow-up to this study.
2 pts
Benchmark
An attempt to identify a bias or confounding variable is provided.
0 pts
No Marks
Bias, confounding variables, and future research are not addressed.
/ 4 pts
Template: Headings
view longer description
6 pts
Capstone
The one-paragraph Introduction includes a description of the topic, type of study, populations of interest, and a brief summary of major findings. The one-paragraph Conclusion constructs inferences about the populations of interest and a potential community impact.
4 pts
Milestone
The Introduction includes at least a description of the topic and a brief summary of major findings. The Conclusion constructs at least one inference about a population of interest.
3 pts
Benchmark
The Introduction includes at least a description of the topic and a brief summary of major findings. OR; The Conclusion constructs at least one inference about a population of interest.
0 pts
No Marks
Introduction and Conclusion headings are missing.
/ 6 pts
Template: Format
view longer description
2 pts
Capstone
At least one page of written content, single-spaced, with 11-pt or 12-pt Times New Roman font, and 0.7 margins.
1 pts
Benchmark
One-half page of single-spaced, written content with proper font and margins; OR one page with double-spaced or less, proper font and margins; OR one page, single-spaced, proper font, and 1-1.5 inch margins; OR one page, single-spaced, proper margins, but too large or hard to read font.
0 pts
No Marks
Neglect of page formatting instructions.
/ 2 pts
Total Points: 0
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Categories
Statistics

only for the Included Studies and Statistical Methods • Approximately 350 Words

only for the
Included Studies and Statistical Methods
• Approximately 350 Words
• A Summary table describing the included studies, intervention description, study length,
participant ages, sample sizes, means, SDs, etc.
• Discuss whether you are using the fixed or random effect models and any rationale.
• Software package/functions, significance levels, etc. that are being used