Quick Quiz: Conduct a formal hypothesis test of the claim that there is a linear correlation between the two variables. Use a 0.05 significance level. First you will have to find the correlation coefficient, r. A scatterplot shows a linear pattern. Two different tests are designed to measure employee productivity and dexterity. Several employees are randomly selected and tested with these results. Productivity 23 25 28 21 21 25 26 30 34 36 Dexterity requirement hypothesis statements t-score p-value conclusion 49 53 59 42 47 53 55 63 67 75
Quick Quiz: Conduct a formal hypothesis test of the claim that there is a linear correlation between the two variables. Use a 0.05 significance level. First you will have to find the correlation coefficient, r. A scatterplot shows a linear pattern. Two different tests are designed to measure employee productivity and dexterity. Several employees are randomly selected and tested with these results. Productivity 23 25 28 21 21 25 26 30 34 36 Dexterity requirement hypothesis statements t-score p-value conclusion 49 53 59 42 47 53 55 63 67 75
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Attached a picture of the notes in reference to the question, any help appreciated. Thanks.

Transcribed Image Text:Quick Quiz: Conduct a formal hypothesis test of the claim that there is a linear
correlation between the two variables. Use a 0.05 significance level. First you will
have to find the correlation coefficient, r. A scatterplot shows a linear pattern.
Two different tests are designed to measure employee productivity and dexterity.
Several employees are randomly selected and tested with these results.
23 25 28 21 21 25 26 30 34 36
Productivity
Dexterity
requirement
hypothesis statements
t-score
p-value
conclusion
49 53 59 42 47 53 55 63 67 75

Transcribed Image Text:2. For page 14 of chapter 9 notes, what are the hypothesis
statements?
Ho: p = 0, H1: p = 0
Ho: p = 0, H1: p = 0
O Ho: p = 0, H1: p < 0
Ho: p = 0, H1: p > 0
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