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A large sample of students are

surveyed. In a questionnaire they
answer questions that estimate their
overall stress level (from 1-100) and to
also self-report their average weekly
sleep (results range from 35-70 hours).
It is expected that as sleep levels go up,
stress levels will go down and vice
versa. Which statistical test would be
most appropriate for this scenario?
correlation (one-tail, positive)
correlation (one-tail, negative)
correlation (two-tail)
ANOVA (F-test)
O
paired/dependent t-test (one-tail)
O paired/dependent t-test (two-tail)
independent t-test (one-tail)
independent t-test (two-tail)

User Holland
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1 Answer

6 votes

Final answer:

The most appropriate statistical test for this scenario would be a correlation (one-tail, negative) test. It will help determine if there is a significant relationship between stress level and sleep hours.

Step-by-step explanation:

The most appropriate statistical test for this scenario would be a correlation test.

In this case, a correlation (one-tail, negative) test would be suitable, as it is expected that as sleep levels increase, stress levels will go down. A negative correlation indicates an inverse relationship between the two variables.

A correlation test measures the strength and direction of the linear relationship between two variables, in this case, stress level and sleep hours. It will help determine if there is a significant relationship between the two variables.

User KaHeL
by
7.9k points