Reflection: Organizational Systems Bell-Shaped Distributions and the Normal Model - Section 2: Answering Questions about Data

 

Practicing precision of language in mathematics is essential to avoid misinterpretation, overgeneralization, inaccuracy, or inconsistency. Throughout the year new vocabulary terms are introduced and defined almost daily. It can be a challenging task to keep track of them, even for the most organized students. In each unit, I use a vocabulary word wall system that consists of a bright red strap, covered with clothes pins. When a new term is introduced it is written boldly on an index card and pinned to the strap. The presence of a word on our strap means “You should be able to define this word and use it in context.” This system provides both a vivid reminder of terms a student should know and an outline of the content in each unit.


  Vocabulary Word Wall
  Organizational Systems: Vocabulary Word Wall
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Bell-Shaped Distributions and the Normal Model

Unit 6: Statistics: Single-Variable
Lesson 5 of 13

Objective: SWBAT use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages.

Big Idea: For mound-shaped, symmetric distributions, the Normal Model is a good approximation. Applying the normal model allows us to predict population percentages and percentile values using the Empirical Rule.

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Subject(s):
Math, Inference and Prediction, univariate data, percentiles, normal distribution, Empirical rule, population percentages, Algebra 2, statistical significance
  90 minutes
symmetric
 
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