Chapter 4, Section 4, Exercise 139-143
Type I and Type II Errors
In the situation below, describe what it means in that context to
make a Type I and Type II error.
Testing to see whether taking a vitamin supplement each day has
significant health benefits. There are no (known) harmful side
effects of the supplement.
Making a Type I error means:
People should not take any kind of vitamin supplements. |
Fail to detect that the supplements are beneficial, when they actually are. |
There is evidence that the supplements are beneficial. |
There is not enough evidence that the supplements are beneficial. |
Conclude people should take the vitamin supplements when they actually don`t help. |
People should take any kind of vitamin supplements. Making a Type II error means:
|
Type I error occurs when one reject null hypothesis even when it is true.
In this case, null hypothesis is that there is no health benefits of taking a vitamin supplement
So, type I error will be concluding that there are health benefits of taking a vitamin supplement, even when actually there are no health benefits.
Correct Answer:
Making a Type I error means: Conclude people should take the vitamin supplements when they actually don`t help.
Type II error occurs when one fail to reject null hypothesis, even when it is false.
In this case, null hypothesis is that there is no health benefits of taking a vitamin supplement
So, type II error will be concluding that there no health benefits of taking a vitamin supplement, even when actually there are health benefits.
Correct Answer:
Making a Type II error means: Fail to detect that the supplements are beneficial, when they actually are.
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