In the files you will find the LAB portion of the course which is a MS Excel or ODS spreadsheet titled "Statistics 101_Lim_Final Master" Please download the file and save it with your LAST NAME_FIRST NAME on your hard / thumb -drive. "3 dots on right, then click DOWNLOAD" Familiarize with the file by clicking on each of the TABS on the bottom. You will need to complete TABS "Z-sco" and "Prob" . Please note the answers are the next tab over "5" and "6" so all you have to do is: 1st. familiarize with the functions 2nd. understand the functions. 3rd. program each cell from the functions you learned. Just click on the CELL and you will see the functions. Once you complete the lab send it back to me (with your name in file) via Canvas as an attachment to receive credit.
The second part of the project must include a sample instrument with questions about commonly used variables in social research and one set of questions organized as a measurable scale; you can use the format attached to this homework and change the titles and headings of questions.
Introduction: One of the goals of this course is that you will be able to perform hypothesis tests. In this project, you will demonstrate your understanding of all the steps involved in testing a hypothesis test of ? when ? is unknown. Directions: Conduct the hypothesis test described in the SCENARIO below. Write up the process and the test results in a professional-quality report using Microsoft Office. Include the following elements in your 1–2-page written report: 1) INTRODUCTION: Describe the scenario and the reason why the LEGO Group's line manager should perform a hypothesis test. 2) BODY: Include the following elements in the body of the report: a) The name of the appropriate hypothesis test (e.g., “1 Sample Proportion Z test,” “1 Sample T-Test for Means”, etc.) b) The null and alternative hypotheses. (Be sure to first define the parameter in context.) c) Requirements check that justifies the use of the test: i) Is the sample a simple random sample? ii) Is the sample from a normal distribution, or does the Central Limit Theorem apply because ???? ? 30? d) Give all the test details, including the sample statistic, the test statistics, the critical value, and the p-value. e) Reject or fail to reject the null hypothesis f) Report the conclusion of the hypothesis test in context. g) Report and interpret the confidence interval estimate of the parameter in question h) Weave in answers to any specific elements requested in the SCENARIO below. 3) CONCLUSION: Write a brief conclusion to the report, giving your recommendations to the line manager on whether or not they need to take action to repair their machine. In the conclusion, please include your thoughts, from a Christian Worldview, on the importance of ethics and integrity in the process of performing all statistical tests. For example, why is it important that a researcher, a business owner, or a line manager handles data honestly so that the statistical results are accurate, even if the repercussions are difficult or costly repairs? 4) After completing the report, save the Word document as a PDF and upload to the Dropbox on D2L. SCENARIO: The LEGO Group, an international company, makes the LEGO blocks that many of us have played with as kids. Many of its products require that the production process performs according to specifications. One of the products is Little People. The neck diameter of each of the Little People must be 0.5 inches so that it can be attached to the head properly. LEGO is interested in testing to see whether this process is performing according to specifications. If it is not functioning correctly, the LEGO Group will shut down the manufacturing process to fix the Little People machine. The line manager takes a random sample of 40 Little People heads. The average diameter of the sampled necks is 0.48 inches, with a standard deviation of 0.05 inches. Is there sufficient evidence that the machine is not working correctly? Use a two-tailed hypothesis test with a significance level of ?=0.02 to determine the answer. Give the confidence interval estimate for the actual population neck size of Little People. Use a 98% confidence level to align with the hypothesis test in part 2. Does “0.5 inches” appear in the confidence interval? Does the confidence interval estimate of the mean neck size, , of Little People align with the conclusion of your hypothesis test? Explain why the two methods for estimating match or don’t.
Steps to Complete Week 5 Lab Use the Weeks 3 and 5 spreadsheets from the Weeks 3 and 5 Lessons to help you answer the questions below. Step 1: Your instructor will provide you with 10 values to use for this lab.--Ten Heights Provided by Instructor: 60, 65, 66, 67, 68, 69, 70, 71, 72, 72 Gather 10 MORE of your own to add to the 10 provided by your instructor. Do the following: Survey or measure 10 people to find their heights. Determine the mean and standard deviation for the 20 values by using the Week 3 Excel spreadsheet. Post a screen shot of the portion of the spreadsheet that helped you determine these values. How does your height compare to the mean (average) height of the 20 values? Is your height taller, shorter, or the same as the mean of the sample? Note: The following image is just an example. They are NOT the values you should be using for your lab. Your instructor should have sent you our data values for your Week 5 Lab. Please reach out to your instructor if you do not have your data values. Data Example of 10 people with different height (your spreadsheet will have 20 values—10 from your instructor and 10 from your own data gathering). Step 2: Give some background information on the group of people you used in your study. You might consider using the following questions to guide your answer. How did you choose the participants for your study? What was the sampling method: systematic, convenience, cluster, stratified, simple random? What part of the country did your study take place in? What are the age ranges of your participants? How many of each gender did you have in your study? What are other interesting factors about your group? Step 3: Use the Week 5 Excel spreadsheet for the following. (Use the Empirical Rule tab from the spreadsheet). Determine the 68%, 95%, and 99.7% values of the Empirical Rule in terms of the 20 heights in your height study. What do these values tell you? Post a screen shot of your work from the Week 5 Excel spreadsheet. (Use the normal probability tab from the spreadsheet). Based on your study results, what percent of the study participants are shorter than you? What percent are taller than you? Post a screen shot of your work from the Week 5 Excel spreadsheet. Example: If my height is 73 inches, then 20.86% of the relevant population is shorter. The other 79.14%, of course, is taller. Step 4: Be sure your name is on the Word document, save it, and then submit it under "Assignments" and "Week 5: Lab".
Introduction: This Final Exam includes multiple-choice questions about content covered in Modules 5, 6, and 7 of this course. Instructions: You will be allowed 240 minutes (4 hours) to complete this multiple-choice question quiz once you start. You are allowed 2 attempts. Method of Evaluation: This quiz consists of 25 questions regarding the content presented in Modules 5, 6, and 7 of this course. Each question has a value of 4 points. I will share link when assigned a tutor
I'm going to make an analysis of this article and give a presentation. My part is in the second file, please help me analyze what each point in the second file is in this article. And write me a script (what am I going to say in the speech)
The following information was provided by a statistical program for a data set. Based on the statistics shown below, what value would you use for the is the sample standard deviation? Round to 2 decimal places. The following information was provided by a statistical program for a data set. Based on the statistics shown below, what value would you use for the is the sample mean? Round to 2 decimal places. The following information was provided by a statistical program for a data set. Based on the statistics shown below, what value would you use for the IQR?
PROMPT: Choose two of the following three questions and post your answers: In your own words, what is meant by the statement that correlation does not imply causality? In your own words, please describe the difference between the regression equation and the regression equation . Values of r: If you had computed the value of the linear correlation coefficient to be 1.200, what should you conclude? Directions: Please do some research on these topics by using your textbook or the Internet to answer the complete prompt. For assistance, please see: APA7 citation generator: Citefast automatically formats citations in APA 7th edition. (n.d.). Cite Fast. https://www.citefast.com/?s=APA7#_Webpage Then answer your classmates' posts and comment on their descriptions. Requirements: Your main post should be at least 60 words in length, answer all portions of the prompt, and contain a cited source in APA formatting. The two replies to classmates should be at least 60 words in length each. Please do not reply to a classmate with "Good post" or the like, as you will not receive credit for that type of response. Participation is required on a minimum of three days. It is highly suggested that the main response to the weekly discussion be posted by 11:59 pm ET Thursday, and all posts must be completed by 11:59 pm ET Sunday.
Earlier this week, you practiced using repeated measures ANOVA models with SPSS and, ideally, used the Collaboration Lab to ask, answer, and otherwise address any questions you had. In this Assignment, you apply what you learned to answer a social research question using Repeated Measures ANOVA. To prepare for this Assignment: Review the datasets provided. Construct a research question based on one of those datasets. Pay attention to the assumptions of this test, and ask, “Does it make sense to interpret the mean of this dependent variable? ”The AssignmentUse SPSS to answer the research question you constructed. Write an analysis in APA format, including title page, references, and an appendix, that includes your data output and addresses each of the tasks listed below. The content should be 2–3 pages, including setup of the assignment, results, and interpretation of results. Your SPSS output should be included as an appendix. What is the null hypothesis for your question? What research design(s) would align with this question? What dependent variable was used and how is it measured? What independent variable is used and how is it measured? If you found significance, what is the strength of the effect? What is the answer to your research question? What are the possible implications of social change? Early in your Assignment, when you relate which dataset you analyzed, please include the mean of the following variables. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the General Social Survey Dataset, report the mean of Age. If you are using the HS Long Survey Dataset, report the mean of X1SES. See page 996 in your Warner textbook for an excellent APA-compliant write-up of a repeated-measures ANOVA.
Download industry-level data for the dividend yield or dividend payout ratio for the United States, Europe, Japan, or Emerging Markets from the current data https://pages.stern.nyu.edu/~adamodar/New_Home_Pag... page on Aswath Damodaran’s website. Also download industry-level data for the debt-to- capital ratio, market beta, and expected growth in earnings per share (EPS) over the next five years for the same country or country group. Estimate a linear regression with the dividend yield or dividend payout ratio (debt-to- capital ratio) serving as the dependent (explanatory) variable. In addition, estimate quadratic and cubic regression specifications. Do you find evidence of nonlinearities in the relationship between the dividend yield or dividend payout ratio and the debt-to- capital ratio? Create a scatterplot for the dependent and explanatory variables that includes the fitted linear, quadratic, and cubic regressions. Estimate a multiple linear regression with the dividend yield or dividend payout ratio serving as the dependent variable and the debt-to-capital ratio, market beta, and expected earnings growth serving as the explanatory variables. Report the results (coefficient estimates, standard errors, t-statistics, R2 statistic) in a table. Discuss the results. Provide the Stata code in an appendix.
