using the skewed distribution rule, what is the distribution of sample variances

Question

using the skewed distribution rule, what is the distribution of sample variances when the population distribution is the following?
part (a) rectangular
-uniformally distributed
- positively skewed
- normally distributed
- evenly distributed
- negatively skewed

part (b) normally distributed
- evenly distributed
- negatively skewed
- positively skewed
- normally distributed
- uniformally distributed

part (c) positively skewed
- uniformally distributed
- normally distributed
- positively skewed
- evenly distributed
- negatively skewed

part (d) nonmodal
-evenly distributed
- uniformally distributed
- positively skewed
- negatively skewed
- normally distributed

part (e) multimodal
- uniformally distributed
- evenly distributed
- normally distributed
- negatively skewed
- positively skewed

part (f) negatively skewed
- Normally distributed
- evenly distributed
- positively skewed
- uniformally distributed
- negatively skewed

Explanation / Answer

The sampling distribution of sample variances is always positivey skewed regardless of the distribution of sccores in the population distribution.

part (a) rectangular
- positively skewed

part (b) normally distributed

- positively skewed

part (c) positively skewed

- positively skewed

part (d) nonmodal

- positively skewed

part (e) multimodal

- positively skewed

part (f) negatively skewed
- positively skewed

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