A researcher want to test if a cause-effect relationships exists between someone's age and the number of hours of sleep someone needs.She measures age as follows: 0 < 20 years.
0 20 - 50 years.
0 > 50 years.
Furthermore,participants of the research can fill in the number of hours they sleep on average in a day on a dotted line.
What is the most appropriate technique to test the hypothesis that age influences the number of hours someone sleeps?

Question

A researcher want to test if a cause-effect relationships exists between someone's age and the number of hours of sleep someone needs.She measures age as follows: 0 < 20 years.
0 20 - 50 years.
0 > 50 years.
Furthermore,participants of the research can fill in the number of hours they sleep on average in a day on a dotted line.
What is the most appropriate technique to test the hypothesis that age influences the number of hours someone sleeps?
A)An independent samples t-test.
B)A paired samples t-test.
C)ANOVA.
D)Discriminant analysis.

Quizplus · Accepted Answer

ANOVA (Analysis of Variance) is the most appropriate technique to test the hypothesis that age influences the number of hours someone sleeps. ANOVA can be used to test for differences in means across multiple groups, in this case, the three age groups. The dot plot data for each group can be used to compare the means visually and ANOVA can be used to calculate the statistical significance of any differences. The t-tests are used for comparing means between two groups, while discriminant analysis is a technique used for classification, not testing for differences in means.

A Researcher Want to Test If a Cause-Effect Relationships Exists