Demonstrate Steps to Complete the Week 7 Lab Step 1: Find these articles in the Chamberlain Library. Once you click each link, you will be logged into the Library and then click on "PDF Full Text". First Article: Confidence Intervals, Part 1  (Links to an external site.) Second Article: Confidence Intervals, Part 2  (Links to an external site.) Step 2: Consider the use of confidence intervals in health sciences with these articles as inspiration and insights. Step 3: Using the data you collected for the Week 5 Lab (heights of 10 different people that you work with plus the 10 heights provided by your instructor), discuss your method of collection for the values that you are using in your study (systematic, convenience, cluster, stratified, simple random). What are some faults with this type of data collection? What other types of data collection could you have used, and how might this have affected your study? Step 4: Now use the Week 6 Spreadsheet to help you with calculations for the following questions/statements. a) Give a point estimate (mean) for the average height of all people at the place where you work. Start by putting the 20 heights you are working with into the blue Data column of the spreadsheet. What is your point estimate, and what does this mean? b) Find a 95% confidence interval for the true mean height of all the people at your place of work. What      is the interval? [see screenshot below] c) Give a practical interpretation of the interval you found in part b, and explain carefully what the output       means. (For example, you might say, "I am 95% confident that the true mean height of all of the              people in my company is between 64 inches and 68 inches"). d) Post a screenshot of your work from the t value Confidence Interval for µ from the Confidence                  Interval tab on the Week 6 Excel spreadsheet Step 5: Now, change your confidence level to 99% for the same data, and post a screenshot of this table, as well. Step 6: Compare the margins of error from the two screenshots. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.

Final Project Submit Assignment Due Saturday by 11:59pm Points 100 Submitting a file upload Available Jan 7 at 12am - Feb 26 at 11:59pm about 2 months The purpose of this assignment is to provide an opportunity to apply the concepts in a real life situation and in the process, develop analytic and practical skills. The data for this project is available here: FinalProjectDataFirmSize.xlsxThe data are from the US Small Business Administration yearly report from 2007. The first column shows ranges of firm size for the different categories (firm size refers to the number of people employed by a given firm). For each firm size range, you will find the number of firms that fit within that range as well as the total number of people employed in that range. For example, in the 5-9 employees range, there are a total of 1,060,250 firms and 6,974,591 employees divided among those firms. Column E has the average annual wages for an employee of that firm size. So for the firms with 5-9 employees, on average, an employee earns $31,889.98 annually in wages. Column F shows the amount of revenue received by the firms in the given size. Continuing with our example, in the 5-9 employee category each firm made on average $1,079,870. Column G shows the revenues a company makes per employee they have. For the firms with 5-9 employees, each employee brought in about $164,157.33 in revenue for the firm. Column H shows the total amount a firm spent on wages to employees. For a firm with 5-9 employees, the firm would spend a total of $63,401.86 per year on wages to employees.You must find the midpoint of the firm size range shown in Column A. Do this by finding the average between the minimum and maximum of the range. For the final category (5,000 and up), use 20,000 as the midpoint. Parts of this project can be completed earlier in the course as the topics are covered. Doing the part that relates to the current material as it is covered will help you keep the project on track instead of having a large volume of work to do at the very end.A successful report should contain the following elements: Visual representations of the data. You may choose which of the chart types covered in the class to use (Scatter, histogram, pie chart, etc). You may choose to do it all in one chart or use multiple charts. Be sure to label your charts well. If you would like to use a different type of chart from one presented in class, you should first have it approved by the instructor. Determine the correlation between each of the pertinent data labels and justify why this correlation should be calculated and interpret the correlation you found. You can show correlation visually as well, but you must include the numerical calculations. Since Column F (Mean Pay Per Employee) is calculated from Column D (Total Employment) and Column E (Total Annual Payroll), you should not find the correlation between Columns F and D or E. Likewise, the correlation between Columns A and B would not be useful information as well as finding the correlation between column H and either column C or G. Find an equation for the regression line for the pairs of variables that have a significant relationship from part 2. You must calculate at least 1 regression line but may choose to do more. Interpret your results. Be careful when determining which variable is the dependent one and include a justification for your choice. You may choose to include a visual representation of the data along with the regression line found. Use the regression line(s) found in 3 to predict values not included in your independent variable sample but that are within the predictive range of the data. Interpret these values. You must have at least 1 prediction for each regression line. Perform a hypothesis test for the correlation between two of the variables in at least one of the regressions you chose to include in the paper. Be sure to include both the null and the alternative hypothesis, the test being performed and why, the relative test statistic, and the conclusion you can draw from the test. See page 478 in the textbook for step by step directions. At least one Bible reference that pertains to the subject as well as 2 quality reference articles. The Biblical reference does not have to be a specific verse or passage per say, but include how the topic relates to Biblical principles and ideals. You can relate the Biblical content to statistics in general or to the topic of wages. The outside references should be from reliable sources who have looked into the relationship between your chosen variables of interest. For example, if you chose to focus on the impact of firm size on one of the other variables, you might look for articles on how the size of a company impacts that other variable. The components outlined above will be integrated into a comprehensive final report paper, similar to a case study but with more information. This report should be APA formatted, a minimum of 5 pages in length, exclusive of appendices, table of contents, references, and cover sheet.This paper will be graded based on the analysis and summary, as well as the overall clarity and effectiveness of the work. See page 19 of the syllabus for a grading rubric.Rubric Final Project Rubric Final Project Rubric Criteria Ratings Pts This criterion is linked to a Learning Outcome Content: Identification and evaluation of issues 70.0 pts Exemplary: You demonstrate clear critical thinking of the case and correctly apply principles in your solutions. 63.0 pts Accomplished: You demonstrate a competent level of critical thinking of the case and correctly apply principles in your solutions. 55.0 pts Developing: You demonstrate a limited amount of critical thinking of the case and apply some principles in your solutions 45.0 pts Beginning: You demonstrate little to no critical thinking of the case and fail to apply principles in your solutions 70.0 pts This criterion is linked to a Learning Outcome Ethical / Biblical principles – Recognition of appropriate application of ethical / biblical principles 10.0 pts Exemplary: Well integrated and relevant to the issues identified 7.0 pts Accomplished: Strong attempt at integration and relevance 5.0 pts Developing: Limited applicability / relevance 3.0 pts Beginning: Little to no integrating / relevance 10.0 pts This criterion is linked to a Learning Outcome Structure & mechanics – Grammar and spelling, length, APA 20.0 pts Exemplary: No grammar or spelling errors. All citations are correct. Length matches the required pages. 16.0 pts Accomplished: Only a few grammar or spelling errors. Citations are correct. Length is less than the required pages. 13.0 pts Developing: 3-5 spelling or grammar errors. Some citation errors. Length is less than the required pages. 9.0 pts Beginning: More than 5 spelling or grammar errors. Multiple citation errors. Length is < required pages. 20.0 pts Total Points: 100.0 Previous Next

Part of your task as a scholar-practitioner is to act as a critical consumer of research and ask informed questions of published material. Sometimes, claims are made that do not match the results of the analysis. Unfortunately, this is why statistics is sometimes unfairly associated with telling lies. These misalignments might not be solely attributable to statistical nonsense, but also “user error.” One of the greatest areas of user error is within the practice of hypothesis testing and interpreting statistical significance. As you continue to consume research, be sure and read everything with a critical eye and call out statements that do not match the results.For this Assignment, you will examine statistical significance and meaningfulness based on sample statements.For this Assignment:Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Critically evaluate the statements for meaningfulness.Critically evaluate the statements for statistical significance.Based on your evaluation, provide an explanation of the implications for social change.Use proper APA format and citations, and referencing.