Finer Suit Company sells suits in the US and the European Union. The company monitors its suit sales by collecting randomly chosen data from store locations throughout the US and the EU. They record list price (in dollars), sale price (in dollars), and number of days it takes to sell each suit. Data were collected from 200 suits sold in the US and 200 in the EU region. The complete data set is in the file named Suits. Managerial Report Prepare a report (see below) that summarizes your assessment of the nature of the suit market in each region. Be sure to include the following seven items in your report. Calculate descriptive statistics (mean, median, range, standard deviation, and coefficient of variation) to summarize each of the three variables for the all US suits. Use z-scores to determine if there any outliers in the data set for any of the three variables. If there are any outliers in any category, please list them and state for which category they are an outlier. If a result is an outlier, state whether it is below or above the mean. How can one use the above descriptive statistics to understand the US suit market better? Could there be any other descriptive statistics that can help one understand the US suit market better? Descriptive statistics (mean, median, range, standard deviation and coefficient of variation) to summarize each of the three variables for the all EU suits. Use z-scores to determine if there any outliers in the data set for any of the three variables. If there are any outliers in any category, please list them and state for which category they are an outlier. If a result is an outlier, state whether it is below or above the mean. How can one use the above descriptive statistics to understand the EU suit market better? Could there be any other descriptive statistics that can help one understand the EU suit market better? Compare your summary results from #1 and #2. Discuss any specific statistical results that would help Finer Suits understand its two types of businesses. Discuss any specific statistical results that would help Finer Suits understand its two types of Develop a 99% confidence interval estimate of the population mean sales price and population mean number of days to sell for US suits. What is the margin of error? Interpret your results. Interpret what each confidence intervals means. How can both confidence intervals provide useful US suit sales information? What other confidence interval would you choose to compute to obtain more information related to US suit sales? Explain why. What happens to the confidence interval as the level of confidence is increased. Develop a 99% confidence interval estimate of the population mean sales price and population mean number of days to sell for EU suits. What is the margin of error? Interpret your results. Interpret what each confidence intervals means. How can both confidence intervals provide useful EU suit sales information? What other confidence interval would you choose to compute to obtain more information related to EU suit sales? Explain why. Assume the Finer Suit Company requested estimates of the mean List Price for the US suits with a margin of error of $600 and the mean List Price of EU suits with a margin of error of $600. Using 99% confidence, how large should the sample sizes be for each one? How could the sample size formula be useful in understanding both types of suit businesses? What are some advantages of a larger sample size? Suppose a US suit has a list price of $1,500 and an EU suit has a list price of $1,200. What is your estimate of the final selling price (based on the percent difference for the sale and list price) and number of days required to sell each of these suits? How would these two estimates be useful in this application? Write a report that adheres to the formatting and APA expectations outlined on the CSU Global Writing Center (Links to an external site.). As with all written assignments at CSU Global, you should have in-text citations and a reference page. Submit your Excel file in addition to your report. Requirements: Paper must be written in third person. Your paper should be four to five pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. The CSU Global Library (Links to an external site.) is a great place to find resources. Include a title page, introduction, body, conclusion, and a reference page. The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society as a whole, or it might discuss or describe the unique terminology associated with the topic. The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment. The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs. Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.  

Find an article about the misuse of statistics and share what you have learned from the article. Then, find an example of when statistics were misused/skewed and state the reason why you think the statistics were reported that way.

CORRELATION APPLICATION AND INTERPRETATIONInstructionsComplete the following for this assignment:For this assignment, you will use the Data Analysis and Application template (DAA Template [DOC]).For help with SPSS, refer to Step-by-Step SPSS: Correlations [DOCX].For help copying SPSS output into your DAA review the Copy/Export Output Instructions [HTML].Click on the "SPSS Speedrun" button to watch a brief tutorial video on this assignment.Click on the "Deeper Dive" button to watch a longer video on how to interpret the SPSS output.For information on the data set, you may find the Data Set Instructions [DOCX] helpful.Refer to the 7864 Course Study Guide [PDF] for information on analyses and interpretation.The grades.sav file is a sample SPSS data set. The data represent a teacher's recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of 35 students (N = 105). There are 21 variables in grades.sav. This week’s assignment is on correlations. You will analyze the following variables in the grades.sav data set:SPSS VariableDefinitionQuiz1Quiz 1: number of correct answersGPAPrevious grade point averageTotalTotal number of points earned in classFinalFinal exam: number of correct answers Step 1: Write Section 1 of the DAA: The Data Analysis PlanName the four variables used in this analysis and whether they are categorical or continuous.State a research question, null hypothesis, and alternate hypothesis for total and final.State a research question, null hypothesis, and alternate hypothesis for gpa and quiz1. Step 2: Write Section 2 of the DAA: Testing AssumptionsTest for one of the assumptions of correlation – normality.Create a descriptive statistics table in SPSS to assess normality. This table should include the four variables named above.Paste the table in the DAA.Interpret the skewness and kurtosis values and how you determined whether the assumption of normality was met or violated. Step 3: Write Section 3 of the DAA: Results and InterpretationPaste the intercorrelation matrix (SPSS Correlation table) for the four variables into the document.Below the output, first report the total-final correlation including degrees of freedom, correlation coefficient, and p value. Specify whether or not to reject the null hypothesis for this correlation.Second, report the gpa-quiz1 correlation including degrees of freedom, correlation coefficient, and p value. Specify whether or not to reject the null hypothesis for this correlation. Step 4: Write Section 4 of the DAA: Statistical ConclusionsProvide a brief summary of your analysis and the conclusions drawn about correlations.Analyze the limitations of the statistical test and/or possible alternative explanations for your results. Step 5: Write Section 5 of the DAA: ApplicationAnalyze how you might use correlations in your field of study.Name two variables that would work for such an analysis and why studying the relationship may be important to the field or practice.Submit your DAA template as an attached Word document in the assignment area.Competencies MeasuredBy successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and assignment criteria:Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.Analyze statistical assumptions.Competency 2: Analyze the decision-making process of data analysis.Articulate the data analysis plan.Competency 3: Apply knowledge of hypothesis testing.Interpret statistical results and hypotheses.Competency 4: Interpret the results of statistical analyses.Explain statistical conclusions, the limitations of the test, and possible alternative explanations.Competency 6: Apply the results of statistical analyses (your own or others) to your field of interest or career.Analyze the potential applications of the test in the field and their implications.Competency 7: Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.Communicate in a manner that is scholarly, professional, and adheres to APA style and formatting.