x: 4, 4, 4, 5, 3, 3, 6, 7, 4, 4, 6, 3, 7 y: 50, 81, 62, 50, 78, 94, 72, 46, 71, 73, 62, 79, 59 Conduct a hypothesis test with a 9% level of significance to determine whether or not there is a significant linear correlation between the number of classes a student misses and their score on the final exam. Step 1: State the null and alternative hypotheses. Ho: pE Ha:p #v

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Step 1: State the null and alternative hypotheses.
Ho:p =v0
H.:P#v 0
(So we will be performing a two-tailed
test.)
Part 2 of 4
Step 2: Determine the features of the distribution used to test the significance of the
correlation coefficient.
To test the significance of the correlation coefficient, we will use a t-distribution
with
8
x degrees of freedom.
Question Help: O Post to forum
Transcribed Image Text:Step 1: State the null and alternative hypotheses. Ho:p =v0 H.:P#v 0 (So we will be performing a two-tailed test.) Part 2 of 4 Step 2: Determine the features of the distribution used to test the significance of the correlation coefficient. To test the significance of the correlation coefficient, we will use a t-distribution with 8 x degrees of freedom. Question Help: O Post to forum
Can we infer a students score on their final exam based on how many class meetings they missed?
The table below gives this information for 13 students. (Comma separated lists of the data are also
provided below the table to ease in copying the data to R.)
Number of Missed Classes (x)
Percent Score on Final Exam (y)
50
4
81
4
62
50
3
78
3
94
6.
72
7
46
4
71
4
73
6.
62
3
79
59
x: 4, 4, 4, 5, 3, 3, 6, 7, 4, 4, 6, 3, 7
y: 50, 81, 62, 50, 78, 94, 72, 46, 71, 73, 62, 79, 59
Conduct a hypothesis test with a 9% level of significance to determine whether or not there is a
significant linear correlation between the number of classes a student misses and their score on the
final exam.
Step 1: State the null and alternative hypotheses.
Ho:p =v
Transcribed Image Text:Can we infer a students score on their final exam based on how many class meetings they missed? The table below gives this information for 13 students. (Comma separated lists of the data are also provided below the table to ease in copying the data to R.) Number of Missed Classes (x) Percent Score on Final Exam (y) 50 4 81 4 62 50 3 78 3 94 6. 72 7 46 4 71 4 73 6. 62 3 79 59 x: 4, 4, 4, 5, 3, 3, 6, 7, 4, 4, 6, 3, 7 y: 50, 81, 62, 50, 78, 94, 72, 46, 71, 73, 62, 79, 59 Conduct a hypothesis test with a 9% level of significance to determine whether or not there is a significant linear correlation between the number of classes a student misses and their score on the final exam. Step 1: State the null and alternative hypotheses. Ho:p =v
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