09. Notebook + Quiz: Sampling Distributions & Python

Create Your Own Sampling Distribution

Use the notebook below, along with the following quizzes to create your own sampling distribution.

Solutions

It is in your best interest to work through the solution notebooks on your own before looking at the solutions available for this course. However, if you get stuck or would like to double check your solutions, notice all of the solutions and data are available in the resources tab of this course. This is true for all of the following lessons as well.

You can also find the solutions to each notebook by clicking the orange button in the top left corner. There is a solution notebook available.

QUIZ QUESTION: :

Match of the below descriptions to the corresponding value.

ANSWER CHOICES:

The center of each sampling distribution, which should be the same as the proportion of all 21 students that drink coffee.

The proportion of your first sample of 5 students that drink coffee.

The variance associated with the original proportion of all 21 students coffee drinking habits.

The variance of the sampling distribution for the proportion computed with sample size of 5

The variance of the sampling distribution for the proportion computed with sample size 20.

Description	Value
0.60
0.71428
0.0102
0.20408
0.0408

SOLUTION:

Description	Value
0.60	The proportion of your first sample of 5 students that drink coffee.
0.71428	The center of each sampling distribution, which should be the same as the proportion of all 21 students that drink coffee.
0.0102	The variance of the sampling distribution for the proportion computed with sample size 20.
0.20408	The variance associated with the original proportion of all 21 students coffee drinking habits.
0.0408	The variance of the sampling distribution for the proportion computed with sample size of 5

QUIZ QUESTION: :

Match each definition to its corresponding theoretical value in correspondence to the proportion as you saw in this example.

ANSWER CHOICES:

The mean of the sampling distribution

The variance of the original 1,0 values.

The variance of the proportions calculated from 20 randomly selected values iterated 10,000 times.

Definition	Value
p(1-p)/10000
p(1-p)
p(1-p)/20
p

SOLUTION:

Definition	Value
p(1-p)	The variance of the original 1,0 values.
p(1-p)/20	The variance of the proportions calculated from 20 randomly selected values iterated 10,000 times.
p	The mean of the sampling distribution