A previous student of this class was curious about the relationship between number of hours a person slept before an exam and the number of correct answers on the exam. She asked a sample of 5 people from her residence hall the number of hours they slept before their first exam and the number of correct answers they got on their first exam. The data are: Number of hours slept before exam: XNumber of correct answers on exam: Y XY X2 Y287363710095 13a. State your hypotheses (include both H0 and H1) using statistical notation. 13b. State your hypotheses (include both null and alternative) using words. Compute the Pearson’s r correlation. Evaluate the Null Hypothesis (Reject or Fail to reject?). Use alpha = .05 and two tails. Use the attached table. What is your conclusion about the two variables? How did you make your decision?

Pearson correlation is a statistical metric that measures the linear relationship between two…

Answered: A previous student of this class was…

Ciccarelli: Psychology_5 (5th Edition)

5th Edition

ISBN:9780134477961

Author:Saundra K. Ciccarelli, J. Noland White

Publisher:Saundra K. Ciccarelli, J. Noland White

Chapter1: The Science Of Psychology

Section: Chapter Questions

Problem 1TY

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A previous student of this class was curious about the relationship between number of hours a person slept before an exam and the number of correct answers on the exam. She asked a sample of 5 people from her residence hall the number of hours they slept before their first exam and the number of correct answers they got on their first exam. The data are:

Number of hours slept before exam: X

Number of correct answers on exam: Y

X²

Y²

13a. State your hypotheses (include both H₀ and H₁) using statistical notation.

13b. State your hypotheses (include both null and alternative) using words.

Compute the Pearson’s r correlation.

Evaluate the Null Hypothesis (Reject or Fail to reject?). Use alpha = .05 and two tails. Use the attached table. What is your conclusion about the two variables? How did you make your decision?

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