Are student-athletes at Division I universities poorer students than non-athletes? The National College Athlete Association (NCAA) measures the academic outcomes of student-athletes with the Graduation Success Rate (GSR) – the percentage of eligible athletes who graduate within six years of entering college. According to NCAA, the GSR for all scholarship athletes at Division I institutions is 63%. It is well known that the GSR for all students at Division I colleges is 60%. Suppose the NCAA report was based on a sample of 500 student-athletes, of which 315 graduated within six years. Is this sufficient information to conclude that the GSR for all scholarship athletes at Division I institutions differs from 60%? Test using a =.05. a. What is the parameter of interest? b. State the hypotheses. c. What test statistic will you use and why? Explain. d. Calculate the value of the test statistic. e. Rejection region: f. Conclusion: g. Construct a 95% confidence interval for the parameter of interest and interpret your

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Feel free to use the Normal table and the table attached

 

"(1)
Degrees of
Freedom
t 100
t050
t025
to10
to05
to01
to005
3.078
1.886
1.638
6.314
12.706
31.821
63.657
318.31
636.62
4.303
3.182
6.965
4.541
22.326
31.598
12.924
8.610
6.869
5.959
2.920
9.925
3
2.353
5.841
10.213
1.533
1.476
2.132
2.776
3.747
4.604
7.173
3.365
3.143
5.893
5.208
2.015
2.571
4.032
3.707
1.440
1.943
2.447
1.415
1.895
2.365
2.998
3.499
4.785
5.408
8
1.397
1.860
2.306
2.896
3.355
4.501
5.041
1.383
1.372
1.363
2.262
2.228
2.821
2.764
4.781
4.587
9
1.833
3.250
4.297
3.169
3.106
10
1.812
4.144
11
1.796
2.201
2.718
4.025
4.437
12
1.356
1.782
2.179
2.681
3.055
3.012
2.977
3.930
3.852
3.787
3.733
4.318
13
1.350
1.771
2.160
2.650
4.221
1.761
1.753
1.746
14
1.345
2.145
2.624
4.140
2.602
2.583
2.567
15
1.341
1.337
2.131
2.947
4.073
2.120
2.110
4.015
3.965
16
2.921
3.686
1.333
1.330
3.646
3.610
3.579
3.552
17
1.740
2.898
18
1.734
2.101
2.552
2.878
3.922
19
1.328
1.729
2.093
2.539
2.861
3.883
20
1.325
1.725
2.086
2.528
3.850
2.845
2.831
1.323
1.321
1.319
1.318
21
1.721
2.080
2.518
3.527
3.819
2.508
2.500
22
3.505
3.485
3.467
1.717
2.074
2.819
3.792
3.767
3.745
23
1.714
2.069
2.807
24
1.711
2.064
2.492
2.797
1.316
1.315
25
1.708
2.060
2.485
2.787
3.450
3.725
3.707
26
1.706
2.056
2.479
2.779
3.435
2.473
2.467
2.462
1.314
1.703
2.052
2.771
3.421
3.408
3.690
28
1.313
1.701
2.048
2.763
3.674
1.311
1.310
3.659
3.646
29
1.699
2.045
2.756
2.750
3.396
30
1.697
2.042
2.457
3.385
40
1.303
1.684
2.021
2.423
2.704
3.307
3.551
3.460
60
1.296
1.671
2.000
2.390
2.660
3.232
120
1.289
1.658
1.980
2.358
2.617
3.160
3.373
Transcribed Image Text:"(1) Degrees of Freedom t 100 t050 t025 to10 to05 to01 to005 3.078 1.886 1.638 6.314 12.706 31.821 63.657 318.31 636.62 4.303 3.182 6.965 4.541 22.326 31.598 12.924 8.610 6.869 5.959 2.920 9.925 3 2.353 5.841 10.213 1.533 1.476 2.132 2.776 3.747 4.604 7.173 3.365 3.143 5.893 5.208 2.015 2.571 4.032 3.707 1.440 1.943 2.447 1.415 1.895 2.365 2.998 3.499 4.785 5.408 8 1.397 1.860 2.306 2.896 3.355 4.501 5.041 1.383 1.372 1.363 2.262 2.228 2.821 2.764 4.781 4.587 9 1.833 3.250 4.297 3.169 3.106 10 1.812 4.144 11 1.796 2.201 2.718 4.025 4.437 12 1.356 1.782 2.179 2.681 3.055 3.012 2.977 3.930 3.852 3.787 3.733 4.318 13 1.350 1.771 2.160 2.650 4.221 1.761 1.753 1.746 14 1.345 2.145 2.624 4.140 2.602 2.583 2.567 15 1.341 1.337 2.131 2.947 4.073 2.120 2.110 4.015 3.965 16 2.921 3.686 1.333 1.330 3.646 3.610 3.579 3.552 17 1.740 2.898 18 1.734 2.101 2.552 2.878 3.922 19 1.328 1.729 2.093 2.539 2.861 3.883 20 1.325 1.725 2.086 2.528 3.850 2.845 2.831 1.323 1.321 1.319 1.318 21 1.721 2.080 2.518 3.527 3.819 2.508 2.500 22 3.505 3.485 3.467 1.717 2.074 2.819 3.792 3.767 3.745 23 1.714 2.069 2.807 24 1.711 2.064 2.492 2.797 1.316 1.315 25 1.708 2.060 2.485 2.787 3.450 3.725 3.707 26 1.706 2.056 2.479 2.779 3.435 2.473 2.467 2.462 1.314 1.703 2.052 2.771 3.421 3.408 3.690 28 1.313 1.701 2.048 2.763 3.674 1.311 1.310 3.659 3.646 29 1.699 2.045 2.756 2.750 3.396 30 1.697 2.042 2.457 3.385 40 1.303 1.684 2.021 2.423 2.704 3.307 3.551 3.460 60 1.296 1.671 2.000 2.390 2.660 3.232 120 1.289 1.658 1.980 2.358 2.617 3.160 3.373
Are student-athletes at Division I universities poorer students than non-athletes? The
National College Athlete Association (NCAA) measures the academic outcomes of
student-athletes with the Graduation Success Rate (GSR) – the percentage of eligible
athletes who graduate within six years of entering college. According to NCAA, the GSR
for all scholarship athletes at Division I institutions is 63%. It is well known that the GSR
for all students at Division I colleges is 60%. Suppose the NCAA report was based on a
sample of 500 student-athletes, of which 315 graduated within six years. Is this sufficient
information to conclude that the GSR for all scholarship athletes at Division I institutions
differs from 60%? Test using a =.05.
a. What is the parameter of interest?
b. State the hypotheses.
c. What test statistic will you use and why? Explain.
d. Calculate the value of the test statistic.
e. Rejection region:
f. Conclusion:
g. Construct a 95% confidence interval for the parameter of interest and interpret your
result.
Transcribed Image Text:Are student-athletes at Division I universities poorer students than non-athletes? The National College Athlete Association (NCAA) measures the academic outcomes of student-athletes with the Graduation Success Rate (GSR) – the percentage of eligible athletes who graduate within six years of entering college. According to NCAA, the GSR for all scholarship athletes at Division I institutions is 63%. It is well known that the GSR for all students at Division I colleges is 60%. Suppose the NCAA report was based on a sample of 500 student-athletes, of which 315 graduated within six years. Is this sufficient information to conclude that the GSR for all scholarship athletes at Division I institutions differs from 60%? Test using a =.05. a. What is the parameter of interest? b. State the hypotheses. c. What test statistic will you use and why? Explain. d. Calculate the value of the test statistic. e. Rejection region: f. Conclusion: g. Construct a 95% confidence interval for the parameter of interest and interpret your result.
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