Progress CheckUse this activity to assess whether you and your peers can: Select an appropriate bin width for a histogram and explain your choice.Use a histogram to describe the shape, center, and spread of a distribution of data.Learn by DoingThis is the first of several mini-labs designed to teach you how to use StatCrunch. Later in the course, you will be expected to complete more extensive labs and in-class quizzes/exams using the StatCrunch skills learned in these early mini-labs.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Use the rubric at the bottom of this page as a guide for completing this assignment.A list of StatCrunch directions is provided after the Prompt section below.DirectionsSubmit your work:Carefully read all sections below (beginning with the Context section and ending with the Prompt section).Commit a good-faith effort to address all items in the Prompt section below. Please be sure to number your responses.If directed to do so, embed all required StatCrunch output in your initial submission. Please do not submit StatCrunch output as an attachment.Complete your assigned peer reviews:After you submit your initial good-faith attempt, continue to the ANSWER(S) page and review your instructor's response. But please do not submit your corrected work yet.Within three days after the due date, return to this assignment and complete your assigned peer reviews (directions (Links to an external site.)).Submit your corrected work:We all learn from mistakes (our own and our classmates' mistakes). So please do not immediately correct your own mistakes. If possible, wait until you receive feedback from at least one of your peers. If necessary, correct your work and resubmit the entire assignment - including any required StatCrunch output. Your instructor will only review and grade your most recent submission, so please do not refer to a previous submission.ContextWe will use the Best Actor Oscar winners (1970–2001) data file to learn how to create a histogram using StatCrunch, and to practice what we've learned about describing a histogram. We are interested in describing the distribution of actors' ages when they won the Best Actor Oscar.DataStart by downloading the actor datafile to your computer.Here are the directions for downloading the datafile.Here is the actor (Links to an external site.) datafile. (This is the "Excel" file. You do not need Excel installed on your device for this assignment.)Next you will create a histogram of the ages of Best Oscar winners and upload your histogram to your Stats-Class folder in Canvas. Here are the steps.open StatCrunch (directions). Upload the ages data file to StatCrunch (directions).Create a histogram of the ages of Best Actor Oscar winners (directions).Download the StatCrunch output window, your histogram (directions).PromptIn your initial post, respond to the following prompt. Describe the distribution of ages of the Best Actor Oscar winners. Your description should include: shape, center (a typical representative age), a typical interval of representative ages, spread (overall range of ages), and any outliers (unusual ages). Be sure to embed your histogram in your initial post (directions). Please do not submit your histogram as an attachment.Create a second histogram for the distribution of ages, and adjust the bin width (directions). Try both smaller and larger bin widths. Choose a bin width so that your second histogram does not look like the first. Upload your second histogram to your Stats-Class folder. Also embed your second histogram with your initial post. Indicate which histogram is better for analyzing the data (your first embedded histogram or your second). Explain why.List of StatCrunch DirectionsEach link will open in a new window. To return to this discussion, either close the new tab or select the tab for this discussion. Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (no screenshots; please use these directions)Upload Files to Your Stats-Class Folder in CanvasEmbed Pictures in a Textbox (no attachments; please use these directions)Create a HistogramAdjust Histogram Bin WidthHere is a PDF document with all StatCrunch directions (Links to an external site.).RubricPeer Reviewed Assignment w/ StatCrunchPeer Reviewed Assignment w/ StatCrunchCriteriaRatingsPtsThis criterion is linked to a Learning OutcomeAddressing the Prompt6 ptsFull MarksAll parts of the Prompt are addressed. Answers are correct. Statistical vocabulary is used appropriately. Writing is clear and thought process is easy to follow.4 ptsPartial CreditSome parts of the prompt are not addressed, are incorrect, or are unclear.0 ptsNo MarksThe prompt is not addressed.6 ptsThis criterion is linked to a Learning OutcomeStatCrunch Data2 ptsFull MarksAppropriate StatCrunch graphs and/or tables are provided as directed.1 ptsPartial CreditStatCrunch graphs and tables are inappropriate or missing important information.0 ptsNo MarksNo StatCrunch information is provided.2 ptsThis criterion is linked to a Learning OutcomeIndividual Penalty0 ptsNo individual penalty-1 ptsIndividual penalty.Please see the instructor comments for more information.0 ptsThis criterion is linked to a Learning OutcomePeer Reviews2 ptsFull MarksYou completed all assigned peer reviews (maximum of 2). For each peer review, the points you assigned in the rubric are appropriate. You included comments explaining the score you posted in the rubric. If you deducted points in the rubric, your comments explain what the author needs to do to earn a higher grade when the teacher grades the assignment.1 ptsPartial CreditCommitted a good-faith effort to provide a high-quality peer review, but many necessary instructive comments are missing.0 ptsNo MarksNo peer review provided or the comments are not instructive.2 pts

Testing for Correlation and Bivariate RegressionAs you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure that your variables are metric level variables that can easily be interpreted in these tests.For this Assignment, you will examine correlation and bivariate regression testing.To prepare for this Assignment:Review this week’s Learning Resources and media program related to regression and correlation.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.Based on the dataset you chose, construct a research question that can be answered with a Pearson correlation and bivariate regression.Once you perform your correlation and bivariate regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Assignment:Write a 2- to 3-paragraph analysis of your correlation and bivariate regression results for each research question. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES. Do not forget to evaluate if the correlation and bivariate regression assumptions are met and report the effect size. 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.

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