Understanding Appropriate Conditions for Using the Normal Model

The lesson covers the conditions for using a normal model by examining one-variable data distributions. It explains different distribution shapes, such as uniform, skewed, and symmetric, and emphasizes the importance of visual displays like dot plots. Examples include household income, student heights, and school district salaries, highlighting when a normal model is appropriate. The lesson concludes with a reminder to check assumptions before using a normal model.

What factors contribute to the distribution of heights of Algebra 2 students being potentially multi-peaked?

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Why might the distribution of student wages not be a good candidate for a normal model?

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