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.
Workspace
This section contains either a workspace (it can be a Jupyter Notebook workspace or an online code editor work space, etc.) and it cannot be automatically downloaded to be generated here. Please access the classroom with your account and manually download the workspace to your local machine. Note that for some courses, Udacity upload the workspace files onto https://github.com/udacity , so you may be able to download them there.
Workspace Information:
- Default file path:
- Workspace type: jupyter
- Opened files (when workspace is loaded): n/a
QUIZ QUESTION: :
Match each description to the correct corresponding value.
ANSWER CHOICES:
|
Description |
Value |
|---|---|
|
9874.97 |
|
|
6507061.77 |
|
|
9955.77 |
SOLUTION:
|
Description |
Value |
|---|---|
|
9874.97 |
|
|
6507061.77 |
|
|
9955.77 |