Testing for Normality

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Objective

I can assess the normality of a distribution using graphical and numerical methods, and explain my reasoning.

Part 1 of 3

Warm-up video

Unknown Channel · 5:00

We don't generate video — this one is by Unknown Channel on YouTube. The practice questions and exit ticket below were drafted by AI for this objective, and every question is editable in the teacher guide.

Part 2 of 3

Practice

12 questions

1

Describe two methods, other than a normal probability plot, that can be used to assess the normality of a dataset.

2

Explain how comparing the mean and median of a dataset can provide insight into whether the data is approximately normally distributed.

Part 3 of 3

Exit ticket

Quick comprehension check

A dataset has a mean of 102 and a median of 98. A normal probability plot shows points that generally follow a straight line, but with some slight deviations at the ends. Is the data approximately normally distributed? Explain your reasoning. A histogram of a dataset appears roughly symmetric and bell-shaped. The mean and median are nearly identical. However, the normal probability plot shows a distinct curve. Is the data approximately normally distributed? Explain your reasoning. A dataset has a mean of 50 and a median of 75. The normal probability plot shows points clustered randomly with no clear pattern. Is the data approximately normally distributed? Explain your reasoning.

Sample answer included in the free materials

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