Focus on what you learned that made an impression, what may have surprised you, and what you found particularly beneficial and why. Specifically:
- What did you find that was really useful, or that challenged your thinking?
- What are you still mulling over?
- Was there anything that you may take back to your classroom?
- Is there anything you would like to have clarified?
Introduction & Goals
This week, we will investigate the distribution of a variable and look at ways to best see the key features of a quantitative variable's distribution. We will look at visualizations of data, including line plots, frequency tables, stemplots, and histograms. We will hone our ability to describe key features of a distribution from visualizations and use them to compare distributions. We will begin to think about ideas for the Comparative Study by brainstorming in our project groups.
Goals:
- Reinforce the idea that data will vary
- Explain what the distribution of variable is
- Identify five key features of a distribution: center, spread, shape, clusters & outliers
- Identify and create appropriate displays for categorical and quantitative data in one variable, including bar graphs, line plots, frequency tables, and histograms
- Analyze distributions using stemplots and histograms
- Recognize advantages and limitations of histograms
- Begin to explore technology for use in statistics
- Begin work on Comparative Study Final Project