04. Notebook + 练习：构建置信区间
总体平均数的置信区间
在之前的视频中，你看到我们如何构建总体平均数的置信区间。为了进行一些练习，你可以采用同样的过程，创建不喝咖啡总体平均高度的置信区间。另外，python notebook 中有一些测试问题，可以确保你结果的准确性。
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: :
问题 1
使用前两个问题的结果，匹配下列描述和正确的数值。
ANSWER CHOICES:
|
描述 |
数值 |
|---|---|
|
0.600 |
|
|
0.405 |
|
|
0.595 |
|
|
66.78 |
|
|
0.400 |
|
|
68.12 |
|
|
67.58 |
SOLUTION:
|
描述 |
数值 |
|---|---|
|
0.405 |
|
|
0.595 |
|
|
66.78 |
|
|
68.12 |
SOLUTION:
否QUIZ QUESTION: :
问题 3
使用 Notebook 中最后一个问题的结果，匹配下列描述和正确的数值。
ANSWER CHOICES:
|
描述 |
数值 |
|---|---|
|
66.44 |
|
|
65.99 |
|
|
是 |
|
|
67.58 |
|
|
是 |
|
|
否 |
|
|
否 |
SOLUTION:
|
描述 |
数值 |
|---|---|
|
66.44 |
|
|
65.99 |
|
|
是 |
|
|
67.58 |
|
|
是 |
|
|
否 |
|
|
否 |