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UT Knoxville STAT 201 - Stat 201_Project 1_Fall 2015

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1 Stat 201 – Project 1 – Fall 2015 Due Wednesday, September 16, 2015 (1 minute before midnight, submitted to Blackboard) View the YouTube video at https://www.youtube.com/watch?v=u-UIfAvAYus for instructions on how to submit your finished work to Blackboard 37 TOTAL POINTS In this project, you will summarize a subset (i.e., a sample) of the data collected from a survey of Stat 201 students from Fall 2013. Projects must be typed and organized. You will be including a substantial amount of output within your write-up. INCLUDE ONLY THE OUTPUT NECESSARY TO ANSWER THE PROJECT QUESTIONS. Clearly label what question and part you are answering so we grade it correctly! Please see the JMP tutorials at: http://web.utk.edu/~cwiek/201Tutorials/ for instructions on how to get JMP to perform most tasks. Use the 4th page of this project for guidance in which tutorial to look at for each question in the project. In every question that asks you to produce output from JMP, we expect the output you produce to answer the question to be within the write-up. You should put this output immediately after your comments regarding that specific part of the assignment (i.e., not just a series of printouts from JMP stapled to the back of your write-up). You can get help in the Stat Lab with specific questions about the project. You can NOT ask a Stat Lab worker to read your entire project for suggestions on what to change. Important note for Windows (PC) users: Open JMP, click on the File menu and select Preferences. Then, on the left, select Windows Specific. About three-fourths of the way down this window, where it says Auto Hide Menu and Toolbars, click the drop down arrow and select Never. Click OK, then close this window. You should only have to do this once, and Mac users do not need to do this. Getting Started: The data are found in the file “Stat 201 Fall 2015 Project Data.jmp”, which is located in your Pearson’s Mylab & Mastering account under the “Project Files” tab. In real life situations, researchers would use all of the data they have available after conducting a survey. For this project, however, you will get JMP to help you take a random sample from the entire data set so that each student will have different results, and therefore will be turning in a UNIQUE project. The size of the random sample should be 500 plus the last two digits of your UT student ID number. For example, if your UT student ID number is 000314791, you will take a random sample of size 500 + 91 = 591. When you create your random sample from the original JMP file, JMP creates a new file that will be named “Subset of Stat 201 Fall 2015 Project Data”. You can save a copy of this file by selecting the “File” option from the toolbar and choosing “Save As…” tab. JMP will prompt you to keep the same name, which is acceptable, or you can rename it to something like “Stat Project1 – My Data”. Remember to save this file to your own computer, copy it to a memory stick, or e-mail it to yourself for later use if you are using a computer in the library.2 Please take note that on page 8 of the instructions there is a page titled “Writing a Good Stat 201 Project Report”. This page is given as a series of guidelines for the written part of your report. One of the course objectives is for you to not only use statistical software to produce statistical output, but to also be able to draw conclusions based on the computer output and effectively communicate those conclusions. 1.a) Identify a categorical, ordinal, and quantitative variable in the data set. NOTE: Do not use the variables in the example project on page 5. (3 points) b) Choose a categorical variable with at least four levels (but less than ten levels). For example, “Q01 Gender” only has two levels, Male and Female, and the variable “Q21 SpendOther” has as many as 29 levels, so these variables would not be an option. Use JMP to summarize the variable you choose in a bar chart and a pie chart. Get JMP to display the percentage that each bar and pie “slice” represents. NOTE: Do not use the variable in the example project on page 5. (3 points) c) Consider the two categorical variables “Q10 MissionTrip?” (“Have you ever participated in a religious affiliated mission trip or community service trip?” yes or no) and “Q35 UseCoc” (“Have you ever used cocaine?” yes or no). Briefly describe the relationship you expect to see between these two variables. (Note: there is no “right” answer here, it’s just your opinion.) (1 point) d) Use JMP to construct a Mosaic plot and contingency table for these two variables. The contingency table in your output should display “Count” and “Row %” values only. (3 points) e) Explain the relationship that the Mosaic plot shows. In your explanation, you must mention some of the “Row %” values: notice that the “Row %” values are what the heights of the bars in the Mosaic plot are based on. (3 points) f) Did the Mosaic plot verify or refute your expectation in part (c)? Do you believe that the association that you see between these two variables is “strong”? Briefly explain your answer. (Note: the word “strong” is open to interpretation, so there is no right answer for this, it’s just your opinion.) (2 points) 2. In this question, you will make a histogram of the variable “Q36 AgeMarry”. This represents responses to the question “At what age do you plan to get married?”. In the full question on the survey, it explained to “type the age you first got married if you have ever been married, and to type ‘999’ if you don’t plan to get married”. You don’t want to include the “999” values in your analysis, so you need to do a little “data cleaning” first! a) Watch the 43 second YouTube video at http://tinyurl.com/JMPrecode to see how to easily re-code data. Using the technique from this video, re-code the “999” values to a period (.), and this will change the “999” values to “missing data”. (Note: this step is critical to do, as your answers to the next few questions won’t make much sense if the “999” values are in place, and you may lose additional points in those questions as well if you fail to do this.) (3 points)3 b) Generate a histogram of your re-coded “Q36 AgeMarry” variable. Include the Quantiles and Summary Statistics in your output. Your histogram must be


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UT Knoxville STAT 201 - Stat 201_Project 1_Fall 2015

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