
Understanding P-Values and Hypothesis Testing
Interactive Video
•
Mathematics, Science, Business
•
9th - 10th Grade
•
Practice Problem
•
Hard
Patricia Brown
FREE Resource
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10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the null hypothesis in the context of salary differences between men and women?
There is a significant difference in salaries.
Men earn more than women.
Women earn more than men.
There is no difference in salaries.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it necessary to draw a sample from the population?
Because it's impossible to survey the entire population.
To focus only on high earners.
To exclude certain demographics.
To ensure everyone is included.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a P-value of 0.03 indicate in the context of salary differences?
There is a 97% chance of a salary difference.
It is 3% likely to observe a salary difference of €250 or more.
The null hypothesis is definitely true.
It is 3% likely that the null hypothesis is false.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the significance level commonly set at?
10%
50%
0.1%
1% or 5%
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does an alpha level of 1% or below signify?
The result is not significant.
The result is highly significant.
The null hypothesis is true.
The sample is invalid.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the P-value defined?
The probability of the null hypothesis being false.
The probability of observing the result and more extreme results if the null hypothesis is true.
The certainty of the null hypothesis being true.
The likelihood of the sample being biased.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What tool is demonstrated for calculating the P-value?
Excel
SPSS
Data Tab
R Studio
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