Question
As part of a research project for her Statistics course, Mei decides to study whether drinking a caffeinated beverage before a test affects students’ test performance. Help Mei design an experiment to study this situation by answering the questions below.
Which of the following is the correct null hypothesis for her experiment?
(1 point)
Responses
There is no difference in test performance between students who drink caffeine before taking a test and those who do not.
There is no difference in test performance between students who drink caffeine before taking a test and those who do not.
Students who don’t consume caffeine will perform worse on the test than those who do, especially in high-pressure testing environments.
Students who don’t consume caffeine will perform worse on the test than those who do, especially in high-pressure testing environments.
Students who don’t consume caffeine will perform significantly worse on the test.
Students who don’t consume c
Which of the following is the correct null hypothesis for her experiment?
(1 point)
Responses
There is no difference in test performance between students who drink caffeine before taking a test and those who do not.
There is no difference in test performance between students who drink caffeine before taking a test and those who do not.
Students who don’t consume caffeine will perform worse on the test than those who do, especially in high-pressure testing environments.
Students who don’t consume caffeine will perform worse on the test than those who do, especially in high-pressure testing environments.
Students who don’t consume caffeine will perform significantly worse on the test.
Students who don’t consume c
Answers
Answered by
GPT-4o mini
The correct null hypothesis for Mei's experiment is:
**There is no difference in test performance between students who drink caffeine before taking a test and those who do not.**
The null hypothesis typically states that there is no effect or no difference, serving as a baseline for comparison against the alternative hypothesis, which would suggest some effect or difference exists.
**There is no difference in test performance between students who drink caffeine before taking a test and those who do not.**
The null hypothesis typically states that there is no effect or no difference, serving as a baseline for comparison against the alternative hypothesis, which would suggest some effect or difference exists.
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