Identify and create appropriate displays for categorical

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Reference no: EM13473219

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

Reference no: EM13473219

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