Dr. V. noticed that the more frequently a student is late or absent from class the worse he or she performs on the final exam. He decided to investigate. Dr. V. collected a random sample of 22 students. This sample includes the number of times a student is absent and their grades on the final exam. Discuss the implications of the calculated Statistical Power and the probability of a Type II Error. Significance Level: Use a 5% significance level. What is/are the Critical Value(s)? Calculate the coefficient of determination, r2, using Excel’s RSQ function. Explain what it means.
Dr. V. noticed that the more frequently a student is late or absent from class the worse he or she performs on the final exam. He decided to investigate. Dr. V. collected a random sample of 22 students. This sample includes the number of times a student is absent and their grades on the final exam. Discuss the implications of the calculated Statistical Power and the probability of a Type II Error. Significance Level: Use a 5% significance level. What is/are the Critical Value(s)? Calculate the coefficient of determination, r2, using Excel’s RSQ function. Explain what it means.
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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Question
Dr. V. noticed that the more frequently a student is late or absent from class the worse he or she performs on the final exam. He decided to investigate. Dr. V. collected a random sample of 22 students. This sample includes the number of times a student is absent and their grades on the final exam.
- Discuss the implications of the calculated Statistical Power and the probability of a Type II Error.
- Significance Level: Use a 5% significance level. What is/are the Critical Value(s)?
- Calculate the coefficient of determination, r2, using Excel’s RSQ
function . Explain what it means.

Transcribed Image Text:A
D
E
Alpha
0.05 given
Vn-2
t=
22 given
20 =B2-2
3
df
CV t
2.0860 =T.INv.2T(B1,B3)
4
-0.6599 ='Exercise1_Excel_Built-In f.'!E4
0.4354
5
|='Exercise1_Excel_Built-In f.'!E5
2
V1-r²
6.
7
-3.92729 =(B5*SQRT(B3))/SQRT(1-B6)
p-value 0.000834 =TDIST(ABs(B8),B3,2)
8.
9
10

Transcribed Image Text:A
B
D
F
Times
Late/
Final Exam
1
Absent
Grade
Formula
Answer
22
l-COUNT(A2:A23)
84.00
92.50
2
1
n
3
2
df
21
=E2-2
4
3
16
46.00
Coefficient of Correlation, r -0.6599 =CORREL(B2:B23,C2:C23)
93.00 Coefficient of Determination, r? 0.4354
=RSQ(C2:C23,B2:B23)
5
4
2
=AVERAGE(B2:B23)
Mean of Late/Absent 9.6818
Std. Dev. Of Late Absent 7.6244
6
5
11
95.50
7
6
24
20.00
=STDEV.S(B2:B23)
8.
7
7
39.00
Mean of Final Exam 70.4091
=AVERAGE(C2:C23)
10
46.00
Std. Dev. Of Final Exam
24.0380
=STDEV.S(C2:C23)
10
9
19
63.00
73.50
98.00
11
10
2
12 11
2
13
12
17
24.50
14 13
73.00
69.50
8
15 14
20
16 15
19
49.00
17 16
23
68.50
18 17
70.00
19 18
4
75.50
20 19
2
78.00
21 20
7
97.00
22 21
2
100.00
23 22
2
93.50
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