Below are the steps for how to complete Project 1: Simple Data Comparisons. This will be the first part of the Results section of your Project 1: Final Paper. To help, here are two examples of the general format you could use for this assignment - Example 1 Simple Data Comparisons.pdf & Example 2 Simple Data Comparisons.pdf. The second example is more in line with what you will need to submit as part of the Final Paper, so it might be easier in the long run to use that format.
Video directions for how to complete this assignment:
Step 1: Pick your Variables
Remember how in Part 3 of last week's Project 1: Initial Minitab Analysis you said what results interested or surprised you and in Discussion 3: Hypotheses you wrote some hypotheses? It's now time to finalize your hypotheses and then look at the results! For example, Do you want to look at how people who work full time differ compared to those who work part-time? Are you interested in full-time students versus part-time students? Parents compared to non-parents? Or maybe something completely different? You need FOUR variables for this project and at least one needs to be categorical and at least one needs to be numeric. To help pick your variables, see the following page - Project 1: Data (specifically the variables on the Data Dictionary).
On a word document include the following information for Step 1:
- What FOUR variables did you pick for this project? Remember, you need at least one categorical and one numeric variable.
- Example: Student Status, Exercise, Hours Worked, Parent.
- What THREE comparisons are you going to do for this project?
- Example: Student Status vs. Exercise, Student Status vs. Hours Worked, Student Status vs. Parent
- What is your hypothesis about how the variables are related to each other? Write one hypothesis per comparison. Remember, you practiced writing hypotheses this week on Discussion 3: Hypotheses and you can use these same (or fixed) hypotheses for this project, just add one more!
- Example 1: Part-time students exercise less than full-time students.
- Example 2: Part-time students work more hours than full-time students.
- Example 3: Full-time students are equally as likely to be parents than part-time students.
- For each hypothesis state if it is null or alternative.
- Example 1: Part-time students exercise less than full-time students. (alternative)
- Example 2: Part-time students work more hours than full-time students. (alternative)
- Example 3: Full-time students are equally as likely to be parents than part-time students. (null)
Step 2: What method will you use to compare the variables/comparisons you picked?
Once you have picked the variables you're interested in looking at the next step is to figure out how you can compare the data using Minitab. For this see the following information: Minitab: Simple Comparisons. Note: You need to use at least two different methods.
In order to know which method(s) you can use for each of your comparisons, first look at the type of data that is being compared and then find the methods that match this. If you're not sure whether a variable is numeric or categorical, refer to Project 1: Types of Data where you had to determine what each variable was.
Example: For the comparison of Student Status (Categorical) vs. Exercise (Numeric) you have a categorical variable and a numeric variable. That means when you look at the "Minitab: Simple Comparisons" information you need to find a method that can be used for Categorical and Numeric Data. Methods that would work for Categorical and Numeric Data include: (1) Descriptive Statistics & Boxplot or (2) Bar Chart.
On the word document include the following information for Step 2:
5. What one method will you use to analyze the data for each of your three comparisons? Note: You need to use at least two different methods.
Example 1: Student Status (Categorical) vs. Exercise (Numeric) - Descriptive Comparison & Boxplot
- Example 2: Student Status (Categorical) vs. Hours worked (Numeric) - Bar Chart
- Example 3: Student Status (Categorical) vs. Parent (Categorical) - Cross Tabulation
Step 3: Actually compare your variables!
Now that you know what methods you can use to compare your variables, the next step is to follow the directions on the handout (and see the video tutorials on - Minitab: Simple Comparisons) to actually compare your variables using Minitab! For this part of the assignment, you should pick one method and only include the Minitab output from this method. You should already have the Project 1 data saved to your computer, but if not, it's on the following page - Project 1: Data.
On the word document include the following information for Step 3:
6. List your three comparisons (Ex: Student Status vs. Parent) and then the Minitab output for each comparison; put the Minitab under the comparison it goes with.
Step 4: Results & Tell your story!
Now it's time to tell the story about what your comparison showed for our class data. Explain what your three comparisons showed (based on the Minitab output from Step 3).
On the word document include the following information for Step 4:
7. Provide a written analysis of the data by stating if your hypothesis for each comparison was supported (or not) and what specific evidence you used to make this decision. For specific evidence remember that this is a statistics class so make sure to include any appropriate numbers that help illustrate your findings (Ex: Mean, percentages, etc).
Example "written analyses" for each type of data comparison can be found on Basic Methods to Compare Data in Minitab Express.pdf
- Example 1: My hypothesis was that part-time students exercise less than full-time students. Based on the results of my comparison of these variables I found that on average part-time students exercise X hours a week and full-time students exercise Y hours per week. This information [SUPPORTS, DOES NOT SUPPORT] my hypothesis.
- Do NOT use the word prove when discussing your results. Prove normally means something is 100% true. Instead, you can say that the results appear to show X or that the data seems to indicate Y, etc.
- Do NOT say that any of your results show a correlation unless you are doing a scatter plot of two numeric variables. This is a statistics class and a correlation can only be done with two numeric variables.
8. Did you expect these findings or were you surprised by any of your findings?
After completing all four steps submit your word document to this assignment. See the rubric below for assignment grading.