21. Notebook + Quiz: Central Limit Theorem - Part III
Central Limit Theorem - Part III
You saw how the Central Limit Theorem worked for the sample mean in the earlier concept. The Central Limit Theorem states that with a large enough sample size the sampling distribution of the mean will be normally distributed.
The Central Limit Theorem actually applies for these well known statistics:
- Sample means (\bar{x})
- Sample proportions (p)
- Difference in sample means (\bar{x}_1 - \bar{x}_2)
- Difference in sample proportions (p_1 - p_2)
And it applies for additional statistics, but it doesn't apply for all statistics! . Here, you will simulate the sampling distribution for the sample variance. Try out the notebook and quizzes.
Code
If you need a code on the https://github.com/udacity.
QUIZ QUESTION::
Match each description to the correct corresponding value.
ANSWER CHOICES:
Description |
Value |
---|---|
The variance of the population. |
|
The mean of the sampling distribution for the sample variance. |
|
The variance of the sampling distribution for the sample variance. |
SOLUTION:
Description |
Value |
---|---|
The variance of the sampling distribution for the sample variance. |
|
The mean of the sampling distribution for the sample variance. |
|
The variance of the population. |