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 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.Here are the directions, grading rubric, and definition of high-quality feedback for the Learn by Doing discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page. But, here is a brief introduction to the statistical software on how to upload data.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.)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.Login and 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).Store your histogram (the .png file) in your Stats-Class folder (directions).PromptIn your initial post, respond to the following discussion 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. Create Your Stats-Class Folder in Canvas (You only need to do this once.)Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (no screenshots; please use these directions)Upload Files into Your Stat-Class Folder in CanvasEmbed Pictures in a Discussion Post (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.).

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Use the shared results from the Student Data Table to complete the following questions. Standard ScoresUse both the Student ID and Distance to Work variables. List the Student ID at TESU in ascending order of Distance to Work. Calculate the z-scores associated with each student (use the sample standard deviation for this calculation).Identify potential outliers and explain your reasoning. Confidence Intervals/SamplesTake a sample of the first four data points for the variable Distance to Work (unsorted - use the original order in the dataset).Determine the 95% and 99% confidence intervals using the same size of 4. Describe and compare the two intervals. Take a sample of the first seven data points for the variable Distance to Work (unsorted - use the original order in the dataset).Determine the 95% confidence interval. Use the same mean and SD, but change the sample size to 20 and determine the 95% confidence interval. Describe and compare the two intervals.