Signature Assignment oDue Jul 17, 6:00 PM (PST) oNot Submitted oPOINTS 10 Exercise no new messages Objectives: 6.2 6.4 View more »Expand viewInstructionsAssignment FilesGradingAbout Your Signature Assignment This signature assignment is designed to align with specific program student learning outcome(s) in your program. Program Student Learning Outcomes are broad statements that describe what students should know and be able to do upon completion of their degree. The signature assignment may be graded with an automated rubric that allows the University to collect data that can be aggregated across a location or college/school and used for program improvements. Purpose of Assignment The purpose of this assignment is for students to synthesize the concepts learned throughout the course, provide students an opportunity to build critical thinking skills, develop businesses and organizations, and solve problems that require data. Assignment Steps Case 1: Scenario: Cloud Data Services (CDS), headquartered in Memphis, provides information technology services, specifically application hosting services in the cloud for several clients in the southern United States. CDS hosts software applications on their network servers. While CDS has achieved great success and customers rate CDS's services highly, lately, some customers have been complaining about downtime on one of the primary network servers. The given dataset, found in the Signature Assignment Excel® Template, contains the downtime data for the month of November.Use the data analytics skills learned in Week 3 and analyze the downtime data.Make a short presentation to CDS's management including the following:1.Using used Microsoft® Excel® Pivot Tables, construct a frequency distribution showing the number of times during the month that the server was down for each downtime cause category.2.Develop a bar chart that displays the data from the frequency distribution in part 1.3.Develop a pie chart that breaks down the percentage of total downtime that is attributed to each downtime cause during the month.4.Evaluate the mean, median, standard deviation, and variance of the downtime minutes for the month of November.Case 2:Note: Although you will be studying the concept of CPI in more detail in your ECO/561 class; for the purpose of this case, you need to use the concepts of percentages, percentage increase/decrease, and creating and interpreting line charts to compute the inflation rate in the US economy and determine which time period experienced the highest inflation rate. Follow the steps below to complete this signature assignment: 1.Search for the Federal Reserve Bank of St. Louis (FRED).2.On the home page of the website, you will see a search box.3.Type in CPI- AUCSL in the search box and press the return key.4.The first result of the search will be "Consumer Price Index for All Urban Consumers: All Items." Click on this result link.5.Click on the Download link and download the data in Excel®.6.On the Excel® file, the second column gives you the CPI values for each period starting from 1947.7.Go to the last row and notice the last date and the CPI value. Go back 6 years from this last date. For example, if the last date is 2016-11-01, then the date 6 years ago would be 2010-11-01.8.Copy and paste this six years data into a separate Excel® tab.9.Using Excel®, calculate the percentage change in CPI from a year earlier for each observation, beginning with the observation one year later than the first observation. To make this calculation, click on the blank cell next to the observation corresponding to that date and then use Formula 1, located in the Signature Assignment Excel® Formulas document (note that in Excel®, the symbol for multiplication is *), where t-1 is the first observation and t is the observation one year later. For example, to find the percentage change in CPI from 2010-11-01 to 2010-10-01, refer to Formula 2 located in the Signature Assignment Excel® Formulas document. Convert this value to a percentage in Excel®. Repeat this process for the remaining observations (you can use the copy and paste functions to avoid having to retype the formula).10.This new column contains the national inflation rate.11.Create a line graph of the percentage changes (inflation rates) from a year earlier.12.Which period experienced the highest inflation rate? What was the inflation rate during that period?Format your assignment consistent with APA guidelines. Click the Assignment Files tab to submit your assignment.

Respond these two questions 1- To determine whether a new sleeping pill has an effect that varies with dosage, a researcher randomly assigns adult insomniacs, in equal numbers, to receive either 4 or 8 grams of the sleeping pill. The amount of sleeping time is measured for each subject during an 8-hour period after the administration of the dosage. What type of design is this, and what type of statistic is needed to analyze the data?2 - Dr. Bill Board designs a 2 X 2 between-subjects factorial design, where Factor A is word frequency (low or high) and Factor B is category cues (no cues or cues). Assume that the data are interval. What type of statistic is needed to analyze the data?

Part 1Answer a social research question with multiple regression. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are metric level variables.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose). Based on the dataset you chose, construct a research question that can be answered with a multiple regression analysis.Write a 1- to 2-page analysis of your multiple regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.Part 2Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) .Consider the following: Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well. Then write a 2 page analysis of your multiple regression using dummy variables results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be. Use proper APA format, citations, and referencing for your analysis, research question, and display of output.Required Readings Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications. Chapter 2, “Transforming Variables” (pp. 14–32) Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, 8, and 9) Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press/Sage Publications.Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center. Chapter 6, “What are the Assumptions of Multiple Regression?” (pp. 119–136) Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press/Sage Publications.Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center. Chapter 7, “What can be done about Multicollinearity?” (pp. 137–152) Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center. Warner, R. M. (2012). Applied statistics from bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: Sage Publications.Applied Statistics From Bivariate Through Multivariate Techniques, 2nd Edition by Warner, R.M. Copyright 2012 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center. Chapter 12, “Dummy Predictor Variables in Multiple Regression”