
Exploring Type 1 and Type 2 Errors in Hypothesis Testing
Interactive Video
•
Mathematics
•
9th - 12th Grade
•
Hard
Standards-aligned

Olivia Brooks
FREE Resource
Standards-aligned
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10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of hypothesis testing in statistics?
To prove a hypothesis beyond doubt
To calculate the exact values of population parameters
To assess the likelihood of a hypothesis being true based on sample data
To apply complex mathematical formulas
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the null hypothesis (H0) typically state in a hypothesis test?
The sample mean is different from the population mean
The sample mean is equal to a specific value
There is no effect or difference
All sample data are relevant
Tags
CCSS.HSS.IC.B.3
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the concept of random variation affect hypothesis testing?
It has no effect on hypothesis testing
It confirms the null hypothesis
It can lead to different sample means even if the null hypothesis is true
It always disproves the null hypothesis
Tags
CCSS.HSS.IC.B.3
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the context of hypothesis testing, what does a sample mean significantly different from the hypothesized mean suggest?
The null hypothesis is definitely false
The alternative hypothesis might be true
None of the above
The sample data is incorrect
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does an increase in sample size affect the hypothesis test?
It increases the confidence in the sample mean
It has no effect on the results
It decreases the confidence in the sample mean
It changes the hypothesized mean
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In hypothesis testing, what does a large gap between the sample mean and the hypothesized mean indicate?
A stronger likelihood of rejecting the null hypothesis
A confirmation of the alternative hypothesis
A high probability of a Type 2 error
A high probability of a Type 1 error
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a Type 1 error in hypothesis testing?
None of the above
Accepting a true alternative hypothesis
Rejecting a true null hypothesis
Accepting a false null hypothesis
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