the scores of students on the math portion of a college entrance exam. Based on data from the administrator of the​ exam, scores are normally distributed with μ=525. The teacher obtains a random sample of 2200 ​students, puts them through the review​class, and finds that the mean math score of the 2200 students is 530 with a standard deviation of 112. Complete parts​ (a) through​ (d) below.   LOADING... Click the icon to view the​ t-Distribution Area in the Right Tail. ​(a) State the null and alternative hypotheses. Let μ be the mean score. Choose the correct answer below.     A. H0: μ<525​, H1: μ>525   B. H0: μ=525​, H1: μ>525   C. H0: μ>525​, H1: μ≠525   D. H0: μ=525​, H1: μ≠525 ​(b) Test the hypothesis at the α=0.10 level of significance. Is a mean math score of 530 statistically significantly higher than 525​? Conduct a hypothesis test using the​ P-value approach.   Find the test statistic.   t0=   ​(Round to two decimal places as​ needed.) Approximate the​ P-value corresponding to the critical value of t.   The​ P-value is     . Is the sample mean statistically significantly​ higher?     Yes   No ​(c) Do you think that a mean math score of 530 versus 525 will affect the decision of a school admissions​ administrator? In other​ words, does the increase in the score have any practical​ significance?     ​No, because the score became only 0.95​% greater.   ​Yes, because every increase in score is practically significant. ​(d) Test the hypothesis at the α=0.10 level of significance with n=350 students. Assume that the sample mean is still 530 and the sample standard deviation is still 112. Is a sample mean of 530 significantly more than 525​? Conduct a hypothesis test using the​ P-value approach.   Find the test statistic.   t0=   ​(Round to two decimal places as​ needed.) Approximate the​ P-value corresponding to the critical value of t.   The​ P-value is     Is the sample mean statistically significantly​ higher?     Yes   No What do you conclude about the impact of large samples on the​ P-value?     A. As n​ increases, the likelihood of rejecting the null hypothesis increases.​ However, large samples tend to overemphasize practically significant differences.   B. As n​ increases, the likelihood of rejecting the null hypothesis increases.​ However, large samples tend to overemphasize practically insignificant differences.   C. As n​ increases, the likelihood of not rejecting the null hypothesis increases.​ However, large samples tend to overemphasize practically significant differences.   D. As n​ increases, the likelihood of not rejecting the null hypothesis increases.​ However, large samples tend to overemphasize practically insignificant difference

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 scores of students on the math portion of a college entrance exam. Based on data from the administrator of the​ exam, scores are normally distributed with
μ=525.
The teacher obtains a random sample of
2200
​students, puts them through the review​class, and finds that the mean math score of the
2200
students is
530
with a standard deviation of
112.
Complete parts​ (a) through​ (d) below.
 
LOADING...
Click the icon to view the​ t-Distribution Area in the Right Tail.
​(a) State the null and alternative hypotheses. Let
μ
be the mean score. Choose the correct answer below.
 
 
A.
H0: μ<525​,
H1: μ>525
 
B.
H0: μ=525​,
H1: μ>525
 
C.
H0: μ>525​,
H1: μ≠525
 
D.
H0: μ=525​,
H1: μ≠525
​(b) Test the hypothesis at the
α=0.10
level of significance. Is a mean math score of
530
statistically significantly higher than
525​?
Conduct a hypothesis test using the​ P-value approach.
 
Find the test statistic.
 
t0=
 
​(Round to two decimal places as​ needed.)
Approximate the​ P-value corresponding to the critical value of t.
 
The​ P-value is
   
.
Is the sample mean statistically significantly​ higher?
 
 
Yes
 
No
​(c) Do you think that a mean math score of
530
versus
525
will affect the decision of a school admissions​ administrator? In other​ words, does the increase in the score have any practical​ significance?
 
 
​No, because the score became only
0.95​%
greater.
 
​Yes, because every increase in score is practically significant.
​(d) Test the hypothesis at the
α=0.10
level of significance with
n=350
students. Assume that the sample mean is still
530
and the sample standard deviation is still
112.
Is a sample mean of
530
significantly more than
525​?
Conduct a hypothesis test using the​ P-value approach.
 
Find the test statistic.
 
t0=
 
​(Round to two decimal places as​ needed.)
Approximate the​ P-value corresponding to the critical value of t.
 
The​ P-value is
   
Is the sample mean statistically significantly​ higher?
 
 
Yes
 
No
What do you conclude about the impact of large samples on the​ P-value?
 
 
A.
As n​ increases, the likelihood of rejecting the null hypothesis increases.​ However, large samples tend to overemphasize practically significant differences.
 
B.
As n​ increases, the likelihood of rejecting the null hypothesis increases.​ However, large samples tend to overemphasize practically insignificant differences.
 
C.
As n​ increases, the likelihood of not rejecting the null hypothesis increases.​ However, large samples tend to overemphasize practically significant differences.
 
D.
As n​ increases, the likelihood of not rejecting the null hypothesis increases.​ However, large samples tend to overemphasize practically insignificant difference
t-Distribution Area in Right Tail
t-Distribution
Arca in Right Tail
df
0,25
(0.20
0.15
0.10
0.05
0.025
0.02
0.01
0.005
0.0025
0,001
0.0005
636.619
31.599
6.314
2.920
2.353
2.132
2.015
15.894
4.849
3.482
2.999
2.757
1.376
3.078
31.821
63.657
9.925
5.841
4.604
4.032
127.321
14.089
7.453
5.598
4.773
318.309
22.327
1.000
0.816
0.765
4
1
1.963
1.386
1.250
1.190
1.156
12.706
4.303
3.182
2.776
2.571
1.061
0.978
0.941
0.920
1.886
1.638
1.533
1.476
6.965
4.541
3.747
3.365
3
10.215
7.173
12.924
0.741
0.727
8.610
5.893
6.869
1.440
1.415
1.397
1.383
1.093 1.372
2.612
2.517
2.449
2.398
2.359
5.959
5.408
5.041
4.781
4.587
0.718
7
1.943
1.895
0.906
2.447
2.365
2.306
2.262
2.228
3.143
2.998
2.896
2.821
2.764
3.707
3.499
3.355
3.250
3.169
4.317
4.029
3.833
5.208
4.785
4.501
4.297
4.144
1.134
0.711
0.706
0.703
0.700
0.896
1.119
1.108
1.100
8
0.889
1.860
0.883
0.879
1.833
3.690
3.581
9.
10
1.812
0.697
0.695
0.694
0.692
0.691
0.876
0.873
0.870
0.868
2.328
2.303
2.282
2.264
2.249
1.363
1.796
1.782
1.771
1.761
1.753
2.201
2.179
2.160
2.145
2.131
2.718
3.106
3.055
3.012
2.977
2.947
3.497
3.428
3.372
3.326
3.286
4.437
4.318
4.221
11
1.088
1.083
1.079
1.076
1.074
4.025
3.930
3.852
3.787
3.733
12
1.356
1.350
1.345
1.341
2.681
2.650
2.624
2.602
13
14
4.140
15
0.866
4.073
1.071
1.069 1.333
1.067
2.235
2.224
2.214
2.205
2.197
2.583
2.567
2.552
2.539
2.528
4.015
3.965
3.922
3.883
3.850
0.690
0.865
0.863
0.862
1.337
1.746
1.740
1.734
1.729
1.725
2.120
2.110
2.101
2.093
2.086
2.921
2.898
2.878
2.861
2.845
3.252
3.222
3.197
3.174
3.153
3.686
3.646
3.610
3.579
3.552
16
17
0.689
18
0.688
1.330
0.688
0.687
19
0.861
1.066
1.328
20
0.860
1.064
1.325
0.859
0.858
0.858
2.189
2.183
2.177
2.172
2.167
1.721
1.717
21
22
23
24
25
2.080
2.074
2.069
2.064
2518
2.508
2.500
2.492
2.485
2.831
2.819
2.807
2.797
2.787
3.135
3.119
3.104
3.091
3.078
3.527
3.505
3.485
3.467
3.450
0.686
1.063
1.061
1.060
1.059
1.058
1.323
1.321
1.319
1.318
1.316
3.819
0.686
0.685
0.685
0.684
1.714
1.711
1.708
3.792
3.768
3.745
3.725
0857
0.856
2.060
26
27
28
29
30
0.856
0.855
0.855
0.854
0.854
1.058
1.057
1.056
1.055
1.055
1.315
1.314
1.313
1.311
1.310
1.706
1.703
1.701
2.056
2.052
2.048
2.045
2.042
2.162
0.684
0.684
0.683
0.683
0.683
2.158
2.154
2.150
2.147
2.479
2.473
2.467
2.462
2.457
2.779
2.771
2.763
2.756
2.750
3.067
3.057
3.047
3.038
3.030
3.435
3.421
3.408
3.396
3.385
3.707
3.690
3.674
3.659
3.646
1.699
1.697
0.682
0.682
0.682
0.682
0.682
0.853
0.853
0.853
0.852
0.852
1.054
1.054
1.053
1.052
1.052
1.309
1.309
1.308
1.307
1.306
1.696
1.694
1.692
1.691
2.040
2.037
2.035
2.032
2.030
2.453
2.449
2.445
2.441
2.438
2.744
2.738
2.733
2.728
2.724
3.022
3.015
3.008
3.375
3.365
3.356
3.348
3.340
3.633
3.622
3.611
3.601
3.591
31
2.144
32
33
34
35
2.141
2.138
2.136
2.133
3.002
2.996
1.690
2.028
2.026
2.024
2.023
2.021
1.688
1.687
36
37
38
39
40
0.852
0.851
0.851
0.851
0.851
3.333
3.326
3.319
3.313
3.307
1.052
1.306
1.051 1.305
1.304
1.304
1.303
2.131
2.129
2.127
2.125
2.123
2.719
2.715
2.990
2.985
2.980
2.976
2.971
3.582
3.574
3.566
3.558
3.551
0.681
0.681
2.434
2.431
2.429
2.426
2.423
0.681
0.681
0.681
1.051
1.050
1.686
1.685
1.684
2.712
2.708
2.704
1.050
0.679
0.679
0.678
0.678
0.677
2.109
2.099
2.093
2.088
0.849
1.047
1.299
1.676
1.671
1.667
1.664
1.662
2.009
2.000
1.994
1.990
1.987
2.403
2.390
2.381
2.374
2.368
2.678
2.660
2.648
2.639
2.632
2.937
2.915
2.899
2.887
2.878
3.261
3.232
3.211
3.195
3.183
3.496
3.460
3.435
3.416
3.402
50
1.045
1.296
1.044 1.294
1.043
60
0.848
0.847
0.846
0.846
70
1.292
1.042 1.291
80
90
2.084
0.677
0.675
0.674
0.845
0.842
0.842
1.042 1.290
1.037
1.282
1.036
1.282
1.984
2.081
2.056
2.054
2.364
2.330
2.326
2.626
2.581
2.576
2.871
2.813
2.807
3.174
3.098
3.090
3.390
3.300
3.291
100
1.660
1000
1.646
1.962
1.960
1.645
Transcribed Image Text:t-Distribution Area in Right Tail t-Distribution Arca in Right Tail df 0,25 (0.20 0.15 0.10 0.05 0.025 0.02 0.01 0.005 0.0025 0,001 0.0005 636.619 31.599 6.314 2.920 2.353 2.132 2.015 15.894 4.849 3.482 2.999 2.757 1.376 3.078 31.821 63.657 9.925 5.841 4.604 4.032 127.321 14.089 7.453 5.598 4.773 318.309 22.327 1.000 0.816 0.765 4 1 1.963 1.386 1.250 1.190 1.156 12.706 4.303 3.182 2.776 2.571 1.061 0.978 0.941 0.920 1.886 1.638 1.533 1.476 6.965 4.541 3.747 3.365 3 10.215 7.173 12.924 0.741 0.727 8.610 5.893 6.869 1.440 1.415 1.397 1.383 1.093 1.372 2.612 2.517 2.449 2.398 2.359 5.959 5.408 5.041 4.781 4.587 0.718 7 1.943 1.895 0.906 2.447 2.365 2.306 2.262 2.228 3.143 2.998 2.896 2.821 2.764 3.707 3.499 3.355 3.250 3.169 4.317 4.029 3.833 5.208 4.785 4.501 4.297 4.144 1.134 0.711 0.706 0.703 0.700 0.896 1.119 1.108 1.100 8 0.889 1.860 0.883 0.879 1.833 3.690 3.581 9. 10 1.812 0.697 0.695 0.694 0.692 0.691 0.876 0.873 0.870 0.868 2.328 2.303 2.282 2.264 2.249 1.363 1.796 1.782 1.771 1.761 1.753 2.201 2.179 2.160 2.145 2.131 2.718 3.106 3.055 3.012 2.977 2.947 3.497 3.428 3.372 3.326 3.286 4.437 4.318 4.221 11 1.088 1.083 1.079 1.076 1.074 4.025 3.930 3.852 3.787 3.733 12 1.356 1.350 1.345 1.341 2.681 2.650 2.624 2.602 13 14 4.140 15 0.866 4.073 1.071 1.069 1.333 1.067 2.235 2.224 2.214 2.205 2.197 2.583 2.567 2.552 2.539 2.528 4.015 3.965 3.922 3.883 3.850 0.690 0.865 0.863 0.862 1.337 1.746 1.740 1.734 1.729 1.725 2.120 2.110 2.101 2.093 2.086 2.921 2.898 2.878 2.861 2.845 3.252 3.222 3.197 3.174 3.153 3.686 3.646 3.610 3.579 3.552 16 17 0.689 18 0.688 1.330 0.688 0.687 19 0.861 1.066 1.328 20 0.860 1.064 1.325 0.859 0.858 0.858 2.189 2.183 2.177 2.172 2.167 1.721 1.717 21 22 23 24 25 2.080 2.074 2.069 2.064 2518 2.508 2.500 2.492 2.485 2.831 2.819 2.807 2.797 2.787 3.135 3.119 3.104 3.091 3.078 3.527 3.505 3.485 3.467 3.450 0.686 1.063 1.061 1.060 1.059 1.058 1.323 1.321 1.319 1.318 1.316 3.819 0.686 0.685 0.685 0.684 1.714 1.711 1.708 3.792 3.768 3.745 3.725 0857 0.856 2.060 26 27 28 29 30 0.856 0.855 0.855 0.854 0.854 1.058 1.057 1.056 1.055 1.055 1.315 1.314 1.313 1.311 1.310 1.706 1.703 1.701 2.056 2.052 2.048 2.045 2.042 2.162 0.684 0.684 0.683 0.683 0.683 2.158 2.154 2.150 2.147 2.479 2.473 2.467 2.462 2.457 2.779 2.771 2.763 2.756 2.750 3.067 3.057 3.047 3.038 3.030 3.435 3.421 3.408 3.396 3.385 3.707 3.690 3.674 3.659 3.646 1.699 1.697 0.682 0.682 0.682 0.682 0.682 0.853 0.853 0.853 0.852 0.852 1.054 1.054 1.053 1.052 1.052 1.309 1.309 1.308 1.307 1.306 1.696 1.694 1.692 1.691 2.040 2.037 2.035 2.032 2.030 2.453 2.449 2.445 2.441 2.438 2.744 2.738 2.733 2.728 2.724 3.022 3.015 3.008 3.375 3.365 3.356 3.348 3.340 3.633 3.622 3.611 3.601 3.591 31 2.144 32 33 34 35 2.141 2.138 2.136 2.133 3.002 2.996 1.690 2.028 2.026 2.024 2.023 2.021 1.688 1.687 36 37 38 39 40 0.852 0.851 0.851 0.851 0.851 3.333 3.326 3.319 3.313 3.307 1.052 1.306 1.051 1.305 1.304 1.304 1.303 2.131 2.129 2.127 2.125 2.123 2.719 2.715 2.990 2.985 2.980 2.976 2.971 3.582 3.574 3.566 3.558 3.551 0.681 0.681 2.434 2.431 2.429 2.426 2.423 0.681 0.681 0.681 1.051 1.050 1.686 1.685 1.684 2.712 2.708 2.704 1.050 0.679 0.679 0.678 0.678 0.677 2.109 2.099 2.093 2.088 0.849 1.047 1.299 1.676 1.671 1.667 1.664 1.662 2.009 2.000 1.994 1.990 1.987 2.403 2.390 2.381 2.374 2.368 2.678 2.660 2.648 2.639 2.632 2.937 2.915 2.899 2.887 2.878 3.261 3.232 3.211 3.195 3.183 3.496 3.460 3.435 3.416 3.402 50 1.045 1.296 1.044 1.294 1.043 60 0.848 0.847 0.846 0.846 70 1.292 1.042 1.291 80 90 2.084 0.677 0.675 0.674 0.845 0.842 0.842 1.042 1.290 1.037 1.282 1.036 1.282 1.984 2.081 2.056 2.054 2.364 2.330 2.326 2.626 2.581 2.576 2.871 2.813 2.807 3.174 3.098 3.090 3.390 3.300 3.291 100 1.660 1000 1.646 1.962 1.960 1.645
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