The data below are the temperatures on randomly chosen days during the summer and the number of employee absences at a local company on those days. Test the claim, at the α = 0.05 level of significance, that a linear relation exists between the two variables, Apply classical and traditional approaches. Show step1-step3.
The data below are the temperatures on randomly chosen days during the summer and the number of employee absences at a local company on those days. Test the claim, at the α = 0.05 level of significance, that a linear relation exists between the two variables, Apply classical and traditional approaches. Show step1-step3.
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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The data below are the temperatures on randomly chosen days during the summer and the number of employee absences at a local company on those days. Test the claim, at the α = 0.05 level of significance, that a linear relation exists between the two variables, Apply classical and traditional approaches. Show step1-step3.
Transcribed Image Text:Steps for Hypothesis testing.
Step1)State null and Alternative Hypothesis.
Step2) Apply p-value and Classical(Traditional) Approach
Classical Approach: CV vs Test Statistic
p-value Approach: p-value vs Alpha (Level of Significance)
Step3)
State conclusion.
Claim is Alternative Hypothesis:
Reject Null Hypothesis: There is sufficient evidence to conclude that
Do not reject Null Hypothesis: There is insufficient evidence to conclude that
Claim is Null Hypothesis:
Reject Null Hypothesis: There is sufficient evidence to reject that
Do not reject Null Hypothesis: There is insufficient evidence to reject that
Transcribed Image Text:The data below are the temperatures on randomly chosen days during the summer and the
number of employee absences at a local company on those days. Test the claim, at the a = 0.05
level of significance, that a linear relation exists between the two variables, Apply classical and
traditional approaches. Show step1-step3.
Input B1 as "beta1" or "B1". Do not input as "b1".
Temperature x
72
85
91
94
100
80
90
78
99
number of absences y
3
7
10
10
8
4
15
15
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