💬 Looking at Data - Due SUNDAY

For our second discussion, we will start working like Statisticians - using technology to look at our data! 

Primary Posts: This week, you will use the class survey data to describe the distribution of a single categorical variable and a single quantitative variable. Go see the class data here: 

https://www.statcrunch.com/app/index.php?dataid=3743091 Links to an external site. 

You will need to click on "Sign in to analyze data!"

login: mesa119     /      password: Mesaspring2020 (capitalization matters!)

In your primary post, be sure to answer the following:

Univariate Analysis

1. Create a display for a categorical variable. This can be a frequency table, pie chart, or bar chart. I made a help video on how to copy/paste items from StatCrunch to a Canvas discussion below

2. Write a sentence about something you notice about your categorical variable's distribution from your display in #1.
3. Post a histogram for a quantitative variable. 
4. Describe the shape of the distribution in the histogram as was covered in the Part 2 videos, including number of modes, symmetry, and unusual observations - remember to do all of this in the context of the variable!

Bivariate Analysis

1. Choose two variables (they do not need to match the ones you used above) to investigate the relationship between. State what variables you will be looking at and explain why you thought it would be interesting to look at the relationship between these two variables.
2. Create a display showing the relationship between the two variables. Note: Depending on the type of variables, you'll need to use a different display as described here. The types of displays you may want to use are listed below: 
   
   • Categorical v. categorical: split or stacked bar chart
   • Categorical v. quantitative: boxplots, grouped by category
   • Quantitative v. quantitative: scatterplot
3. Explain whether or not you think there is a relationship between the two variables, using the display you created for #2 as your evidence. Be sure to say if there is or isn't a relationship and what about the plot led you to that conclusion!

Response Instructions: During each week's discussion, you can respond to the posts of two classmates for 1 point of extra credit towards discussion boards  This will be helpful later on when the discussion boards are not quite so easy and in case you forget a discussion board! Responses should attempt to take an idea further or approach a topic from a new direction. They may be shorter than primary posts (around 50-75 words), but avoid simply responding with “Good idea” or “I agree"—these types of responses will not receive credit. In this discussion, you may consider:

• Posting a different display of the data they presented or saying something else you noticed in their display.
• Considering possible reasons or explanations for trends seen in their displays.

Points: This week's discussion is worth 30 points!