Please answer practice problems attached. Thanks! And let me know if you have any questions.

Part I: Descriptive Draft (Descriptive Statistics) choose a topic of interest and performing a simple experiment. The sample size for experiments, at least 20. You will submit a descriptive draft to portray the data that was collected, explain the variable or variables being summarized and displayed, and why that variable was chosen. Organization of the descriptive draft should be as follows: (The Project Template is included on the final page of these instructions.) · Introduction: One or two paragraphs introducing and detailing the project topic, how inquiry(ies) were conducted, and the relevance of the group’s project to a well-defined community. Include any national statistics that support the importance of the issue or that will be used for comparison to the data. This section should end with a one-sentence purpose statement and primary research question(s). · Method: Two or three paragraphs containing the details of the group’s study, a description of the research objective(s)/hypothesis(es), type of study, participants, variables measured, and sampling technique. Numerical summaries and graphs of the data should be embedded throughout this section, along with the descriptions. · Provide at least 3 different numerical summaries and displays of the data, as appropriate for the chosen topic and variable(s). Examples may include mean, median, standard deviation, 5-number summary, linear correlation coefficient, and/or linear regression equation; pie chart, Pareto chart, frequency/relative frequency distribution, histogram, stem-and-leaf plot, and/or scatter plot. · Chapter 1 of the textbook provides helpful information about population parameters, sample statistics, sampling methods, and bias. Chapters 2, 3 and 4 provide helpful definitions, instructions and examples for summarizing and displaying both qualitative and quantitative data. Part II: Final Draft (includes Inferential Statistics) Each student will submit a final draft that answers a specific question or questions about a population defined by interest. Inferential statistics should include the following points: (The Project Template is included on the final page of these instructions.) · Assumptions about the population, sampling distribution, or other facets of the investigation · Clear hypotheses (e.g., null and alternative hypotheses) about one or more qualitative or quantitative variables of a well-defined population · Findings: Analytical summaries such as confidence interval and/or P-value, including a proper interpretation · Findings: Speculation upon the meaningfulness of results, as well as the limits and/or consequences of any statistical inferences · Chapters 4, 9 and 10 of our e-text provide helpful definitions, instructions and examples for completing Part II, such as testing for linear correlation (chapter 4), interpreting confidence intervals (chapter 9), or formulating and interpreting hypothesis tests (chapter 10). Students in the same SIP group will be using the same data. As such, each student in the same group may start with the same basic template, but each student must write her/his own Findings and Conclusions. Each student will submit their final draft in Canvas as a Microsoft Word document The project will be based on Qualitative Experiment  Method Several (at least 2-3) paragraphs that contain the details of your study, a description of your research objective(s)/hypothesis(es), type of study, participants, variables measured, and sampling technique. Numerical summaries and graphs of your data should be embedded throughout this section along with descriptions. See Part I: Descriptive Draft (Descriptive Statistics) of SIP-Assignment Instructions document. Findings Two to three paragraphs addressing inferential analyses and conclusions drawn about specific variables within a well-defined population (make clear null and alternative hypotheses). Identify assumptions made about your population, the sampling distribution of your sample statistic, or any other facet of your investigation, and the limits of your conclusions. Include a P-value and/or a confidence interval as needed and interpret it. Use visuals as necessary. See Part II: Final Draft (Inferential Statistics) of SIP-Assignment Instructions document. Conclusion One paragraph summary regarding the overall meaningfulness of the statistical inquiry and the lessons learned about project development and completion. References Cite any sources used to develop background information. Cite any source of national, state, or local statistics used as a null hypothesis. Appendix Raw data from the experiment or survey study must be included here. In addition, if an online survey was launched, a live link must be provided. Or, if live interviews or simple experiments were conducted, provide details such as dates, times, places, and names of group members involved.

You manage Human Relations for your company. One of your sales managers has retired, leaving an opening. You are considering two different employees for the position. Both are highly qualified so you have decided to evaluate their sales performance for the past year. The data showing a sample of their respective sales performance is in the Excel worksheet.1. Annual sales data is provided for a sample of 50 employees.Determine the range of values in which you would expect to find the average weekly sales for the entire sales force in your company 90% of the timeWhat is the impact of increasing the confidence level to 95%?*What is the impact of increasing the sample size to 150, assuming the same mean and standard deviation, but allowing the confidence level to remain at 90%?*2. You want to determine whether there is a statistically different average weekly sales between Sales Rep A and Sales Rep B.Create Null and Alternative Hypothesis statements that would allow you to determine whether their sales performance is statistically different or not.Based on your hypothesis statements, provide an example of a Type I and a Type II error, respectively.Using a significance level of .05, conduct a t-test of independent samples when the standard deviation of the population is unknown to compare the average weekly sales of the two candidates. (NOTE: YOU CAN DO THIS VERY QUICKLY IN EXCEL USING THE DATA ANALYSIS TOOLPAK!)What is the p-value? Based on the p-value, is there a statistically significant difference between the two reps being considered for the manager's position? Explain your reasoning.Who would you recommend to be promoted to Sales Manager - Rep A or Rep B? Why?All Sales Representatives are expected to meet an average weekly sales quota of $4500.Create Null and Alternative Hypothesis statements that would allow you to determine whether the weekly sales of the individual you have decided to promote in #4 (Rep A or Rep B) exceeds the company quota.Based on your hypothesis statements, provide an example of a Type I and a Type II error, respectively.Using a significance level of .05, conduct a one sample mean hypothesis test to determine whether the performance of your chosen candidate exceeds the quota by a statistically significant amount?What is the p-value?Based on the p-value, what is your conclusion? SAMPLE - WEEKLY SALES SAMPLE OF WEEKLY SALES FOR REP A AND B # Sales Rep Weekly Sales $ Week # Weekly Sales - A Weekly Sales - B 1 1228 1 4657 5839 2 7374 2 6133 2602 3 1055 3 3438 2830 4 1859 4 7394 4763 5 3938 5 4327 3740 6 1692 6 2552 1315 7 569 7 7063 1599 8 4059 8 7844 1629 9 3689 9 6898 2416 10 607 10 4003 2107 11 1370 11 6884 4237 12 3735 12 4007 6322 13 3305 13 7214 2710 14 7228 14 2358 5890 15 6279 15 7745 5119 16 1671 16 1337 5184 17 5708 17 1052 3439 18 2569 18 6056 4828 19 4163 19 1495 3667 20 1519 20 3530 2518 21 7734 21 4749 6073 22 784 22 3833 5566 23 6766 23 7869 4555 24 7261 24 4541 5867 25 5034 25 6882 6039 26 7115 26 3868 1032 27 6291 27 5934 4834 28 6287 28 4447 3687 29 2080 29 5504 2214 30 7621 30 5554 4659 31 1047 32 6517 33 5172 34 3876 35 5429 36 4538 37 3786 38 2510 39 4863 40 7246 41 1175 42 641 43 4269 44 7034 45 3406 46 2256 47 3182 48 5178 49 4428 50 1189