Type 1 errors | Inferential statistics | Probability and Statistics | Khan Academy
Interactive Video
•
Mathematics
•
10th Grade
•
Hard
Wayground Resource Sheets
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4 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What defines a Type I error in hypothesis testing?
Accepting the null hypothesis when it is false.
Rejecting the null hypothesis when it is true.
Accepting the alternative hypothesis when it is false.
Rejecting the alternative hypothesis when it is true.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the initial assumption made about the null hypothesis (H0) in hypothesis testing?
It is always false.
It is always true.
It is neither true nor false.
Its truthfulness is irrelevant.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When is the null hypothesis typically rejected based on an observed statistic?
When the probability of observing such a statistic (or more extreme) is high.
When the probability of observing such a statistic (or more extreme) is exactly 50%.
When the probability of observing such a statistic (or more extreme) is below a set threshold.
When the observed statistic is exactly equal to the mean of the assumed distribution.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If the null hypothesis is true, and an observed statistic has a 0.5% probability of occurring (or being more extreme), what is the probability of making a Type I error if the threshold for rejection is 1%?
1%
0.5%
99%
5%
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