14. Building a Midterm

Homework:

1. Anyone win Powerball? Can we all retire?

2. What graphs did we make from the data? A sample of mine are below, though not fantastic.

3. List of Topics:

• • Graphs

    • What makes a good graph

    • What graph goes with what type of data

    • What can help make a graph LEAD to a specific conclusion

      • Fairly or unfairly

  • Univariate Data

    • measures of central tendency and spread

    • What defines an outlier

    • Normal vs. Skewed

    • Idea of using the Central Limit Theorem

    • EST +/- MOE

      • various ways to get the Estimate

      • various ways to get the Margin of Error

      • Confidence Intervals

    • Hypothesis Testing

      • t-test

      • H_o, H_a

  • Bivariate Data

    • What makes a trend linear

    • Correlation Coefficient

    • Residuals

    • When is a point an 'influential point'?

  • Collection of Data

    • Sampling Methods

    • What makes a good question

  • Terminology

4. Building a Survey

• • Goals -- Quantitative Analysis and Dissection of:

    • • Homework

      • Classtime

      • Course Direction

      • Depth of Understanding

• • • Categorical/Short Answer Collection of:

      • Concerns, Thoughts, Issues

      • Positives/Negatives

Read this paper

Data: http://hci.usask.ca/uploads/173-pap0297-bateman.pdf

Perspective: I came across this paper while looking for bad graphs to turn good. It's an interesting twist on what I've been saying thus far; in it, they argue that the bad graphs are good for remembering or assigning value to data. But I think there are some specific flaws in the way that they did this paper.

Goal: Read the paper and do the following:

• Look for statistical numbers, ideas and uses directly in the paper. For example, can you figure out what t_19 and t_9 are used for in the paper?

• What methods are unknown or strange to you?

• In methodology or other aspects, are there things you agree with or disagree with?

• You should be able to discuss this paper as a group or individually on Monday.

Resources: I've found two things that will be useful to you. Read and think about the paper on your own before you read this:

• https://www.perceptualedge.com/articles/visual_business_intelligence/the_chartjunk_debate.pdf