A medical trial is conducted to test whether or not a certain drug can treat a certain allergy. Upon trial, the t-value is computed as 1.311. Sketch and complete the table below to discuss the findings of the medical trial. -1 as o as 1 15 2 25 3 -3 -2.5 -2 -1.5 Ho: The computed Decision: t-value is at the Ha: region. Justify your decision by writing an explanation in 5-10 sentences.
A medical trial is conducted to test whether or not a certain drug can treat a certain allergy. Upon trial, the t-value is computed as 1.311. Sketch and complete the table below to discuss the findings of the medical trial. -1 as o as 1 15 2 25 3 -3 -2.5 -2 -1.5 Ho: The computed Decision: t-value is at the Ha: region. Justify your decision by writing an explanation in 5-10 sentences.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![A medical trial is conducted to test whether or not a certain drug can treat a
certain allergy. Upon trial, the t-value is computed as 1.311. Sketch and
complete the table below to discuss the findings of the medical trial.
-3
-2.5
-2
-1.5
-1
-0.5
0.5
1
15 2
2.5
The computed Decision:
t-value is at the
H.:
Ha:
region.
Justify your decision by writing an explanation in 5-10 sentences.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6f7e194d-e11b-4659-a8ba-ae3f2fc2d93c%2Ffada4c83-bf2d-45d1-ba67-cc7ad70081f4%2F5z976or_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A medical trial is conducted to test whether or not a certain drug can treat a
certain allergy. Upon trial, the t-value is computed as 1.311. Sketch and
complete the table below to discuss the findings of the medical trial.
-3
-2.5
-2
-1.5
-1
-0.5
0.5
1
15 2
2.5
The computed Decision:
t-value is at the
H.:
Ha:
region.
Justify your decision by writing an explanation in 5-10 sentences.
![The t-distribution Table
one-tail
0.50
0.25 0.20
0.15
0.10
0.05
0.025
0.01
0.005
0.001 0.0005
two-tails
1.00
0.50
0.40 0.30
0.20
0.10
0.05
0.02
0.01
0.002 0.001
df
6.314
2.920
2.353
2.132
31.82
6.965
4.541
3.747
3.365
0.000
1.000
1.376
1.963
1.386
3.078
12.71
63.66
318.31
9.925 22.327
636.62
0.000
3
0.816
1.061
1.886
1.638
1.533
4.303
31.599
0.000
0.765 0.978
1.250
3.182
5.841
10.215 12.924
0.000
0.741
0.727
0.941
1.190
2.776
2.571
4.604
4.032
3.707
3.499
7.173
5.893
8.610
6.869
5.959
4
0.000
1.156
5
0.000
0.000
0.920
1.476
2.015
0.718
0.906
1134
1.440
1.943
2.447
3.143
5.208
2.998
2.896
2.821
0.711
1.119
1.895
1.860
0.896
1.415
2.365
4.785
5.408
8
9
0.000
0.706
0.889
1.108
1.397
2.306
3.355
4.501
5.041
0.000
2.262
0.703
0.700
0.697
0.883
0.879
0.876
0.873
1.383
1.372
1.363
1.356
1.833
3.250
3.169
3.106
3.055
1.100
4.297
4.781
10
0.000
1.093
1.088
1.812
2.228
2.764
4.144
4.587
1.796
2.201
2.718
2.681
11
0.000
4.025
4.437
12
13
14
15
16
17
18
0.000
0.000
0.695
2.179
3.930
1.083
1.079
1.782
4.318
0.000
0.694
0.870
1.350
1.771
2.160
2.650
3.012
2.977
3.852
4.221
1.345
1.341
1.337
1.761
1.753
1.746
0.000
0.692
0.868
1.076
2.145
2.624
3.787
4.140
2.131
2.120
2.110
2.101
2.093
0.000
0.691
0.866
1.074
2.602
2.947
3.733
4.073
4.015
0.000
0.690
0.865
1.071
2.583
2.921
3.686
3.646
3.610
0.000
0.689
0.863
1.069
1.333
1.740
2.567
2.898
3.965
0.000
0.688
0.862
1.067
1.330
1.734
2.552
2.878
3.922
19
0.000
0.688
0.861
1.066
1.328
1.729
2.539
2.861
3.579
3.883
3.850
20
21
0.000
0.687
0.860
1.064
1.325
1.725
2.086
2.528
2.845
3.552
0.000
0.686
0.859
1.063
1.323
1.721
2.080
2.518
2.831
3.527
3.819
22
23
24
25
26
0.686
0.858
1.061
1.321
2.819
1.717
1.714
2.074
2.508
3.505
3.485
3.792
0.858
1.060
1.319
2.807
3.768
3.745
3.725
0.000
0.685
2.069
2.500
0.000
0.857
0.856
0.685
1.059
1.318
1.711
2.064
2.492
2.797
3.467
0.000
0.684
1.058
1.316
1.708
2.060
2.485
2.787
3.450
3.435
3.421
3.707
3.690
3.674
0.000
0.684
0.856
1.058
1.315
1.706
2.056
2.479
2.779
27
0.000
0.684
2.473
0.855
0.855
1.057
1.314
1.703
2.052
2.771
28
0.000
0.000
0.683
1.056
1.313
1.701
2.048
2.467
2.763
3.408
29
30
40
60
80
100
1000
0.683
0.854
1.055
1.311
1.699
2.045
2.462
2.756
3.396
3.659
3.385
3.307
0.000
0.683
0.854
1.055
1.310
1.697
2.042
2.457
2.750
3.646
0.000
0.681
0.851
1.050
1.303
1.684
2.021
2.423
2.704
3.551
0.000
0.679
0.848
1.045
1.296
1.671
2.000
2.390
2.660
3.232
3.460
0.000
0.678
0.846
1.043
1.292
1.664
1.990
2.374
2.639
3.195
3.416
0.000
0.677
0.845
1.042
1.290
1.660
1.984
2.364
2.626
3.174
3.390
0.000
0.675
0.842
1.037
1.282
1.646
1.962
2.330
2.581
3.098
3.300
0.000
0.674
0.842
1.036
1.282
1.645
1.960
2.326
2.576
3.090
3.291
50%
60%
70%
90%
95%
Confidence Level
0%
80%
98%
99% 99.8% 99.9%](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6f7e194d-e11b-4659-a8ba-ae3f2fc2d93c%2Ffada4c83-bf2d-45d1-ba67-cc7ad70081f4%2Fnfoklvt_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The t-distribution Table
one-tail
0.50
0.25 0.20
0.15
0.10
0.05
0.025
0.01
0.005
0.001 0.0005
two-tails
1.00
0.50
0.40 0.30
0.20
0.10
0.05
0.02
0.01
0.002 0.001
df
6.314
2.920
2.353
2.132
31.82
6.965
4.541
3.747
3.365
0.000
1.000
1.376
1.963
1.386
3.078
12.71
63.66
318.31
9.925 22.327
636.62
0.000
3
0.816
1.061
1.886
1.638
1.533
4.303
31.599
0.000
0.765 0.978
1.250
3.182
5.841
10.215 12.924
0.000
0.741
0.727
0.941
1.190
2.776
2.571
4.604
4.032
3.707
3.499
7.173
5.893
8.610
6.869
5.959
4
0.000
1.156
5
0.000
0.000
0.920
1.476
2.015
0.718
0.906
1134
1.440
1.943
2.447
3.143
5.208
2.998
2.896
2.821
0.711
1.119
1.895
1.860
0.896
1.415
2.365
4.785
5.408
8
9
0.000
0.706
0.889
1.108
1.397
2.306
3.355
4.501
5.041
0.000
2.262
0.703
0.700
0.697
0.883
0.879
0.876
0.873
1.383
1.372
1.363
1.356
1.833
3.250
3.169
3.106
3.055
1.100
4.297
4.781
10
0.000
1.093
1.088
1.812
2.228
2.764
4.144
4.587
1.796
2.201
2.718
2.681
11
0.000
4.025
4.437
12
13
14
15
16
17
18
0.000
0.000
0.695
2.179
3.930
1.083
1.079
1.782
4.318
0.000
0.694
0.870
1.350
1.771
2.160
2.650
3.012
2.977
3.852
4.221
1.345
1.341
1.337
1.761
1.753
1.746
0.000
0.692
0.868
1.076
2.145
2.624
3.787
4.140
2.131
2.120
2.110
2.101
2.093
0.000
0.691
0.866
1.074
2.602
2.947
3.733
4.073
4.015
0.000
0.690
0.865
1.071
2.583
2.921
3.686
3.646
3.610
0.000
0.689
0.863
1.069
1.333
1.740
2.567
2.898
3.965
0.000
0.688
0.862
1.067
1.330
1.734
2.552
2.878
3.922
19
0.000
0.688
0.861
1.066
1.328
1.729
2.539
2.861
3.579
3.883
3.850
20
21
0.000
0.687
0.860
1.064
1.325
1.725
2.086
2.528
2.845
3.552
0.000
0.686
0.859
1.063
1.323
1.721
2.080
2.518
2.831
3.527
3.819
22
23
24
25
26
0.686
0.858
1.061
1.321
2.819
1.717
1.714
2.074
2.508
3.505
3.485
3.792
0.858
1.060
1.319
2.807
3.768
3.745
3.725
0.000
0.685
2.069
2.500
0.000
0.857
0.856
0.685
1.059
1.318
1.711
2.064
2.492
2.797
3.467
0.000
0.684
1.058
1.316
1.708
2.060
2.485
2.787
3.450
3.435
3.421
3.707
3.690
3.674
0.000
0.684
0.856
1.058
1.315
1.706
2.056
2.479
2.779
27
0.000
0.684
2.473
0.855
0.855
1.057
1.314
1.703
2.052
2.771
28
0.000
0.000
0.683
1.056
1.313
1.701
2.048
2.467
2.763
3.408
29
30
40
60
80
100
1000
0.683
0.854
1.055
1.311
1.699
2.045
2.462
2.756
3.396
3.659
3.385
3.307
0.000
0.683
0.854
1.055
1.310
1.697
2.042
2.457
2.750
3.646
0.000
0.681
0.851
1.050
1.303
1.684
2.021
2.423
2.704
3.551
0.000
0.679
0.848
1.045
1.296
1.671
2.000
2.390
2.660
3.232
3.460
0.000
0.678
0.846
1.043
1.292
1.664
1.990
2.374
2.639
3.195
3.416
0.000
0.677
0.845
1.042
1.290
1.660
1.984
2.364
2.626
3.174
3.390
0.000
0.675
0.842
1.037
1.282
1.646
1.962
2.330
2.581
3.098
3.300
0.000
0.674
0.842
1.036
1.282
1.645
1.960
2.326
2.576
3.090
3.291
50%
60%
70%
90%
95%
Confidence Level
0%
80%
98%
99% 99.8% 99.9%
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