e slurry and ran on a treadmill in a controlled hot and humid environment. Days later, the same participants drank cold water and ran on a treadmill in the same hot and humid environment. The table available below shows the times, r inutes, it took to fatigue on the treadmill for both the ice slurry and the cold water. Preliminary data analyses indicate that use of a paired t-test is reasonable. At the 1% significance level, do the data provide sufficient evidence to concl at, on average, cold water is less effective than ice slurry for optimizing athletic performance in the heat? Use the critical-value approach. (Note: The mean and standard deviation of the paired differences are - 4.8 minutes and 2.15 minutes, respectively.) lick here to view the data, Click here to view a table of critical values oft Let population 1 be the times to fatigue for cold water and let population 2 be the times to fatigue for ice slurry. Time to Fatigue Subject Cold Water Ice Slurry 48 53 32 47 49 30 28 41 4. 41 6. 7 27 38 36 44 38 53 30 35 27 10 32 Print Done

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter4: Writing Linear Equations
Section: Chapter Questions
Problem 14CR
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Question

What's the hypotheses for t-test?

T-statistics?

Critical values? 

The rejection region if test statistic falls in the rejection area and if to reject H0.

Cooling down with a cold drink before exercise in the heat is believed to help an athlete perform. A researcher explored the difference between cooling down with an ice slurry (slushy) and with cold water. Ten male participants drank a flavored
ice slurry and ran on a treadmill in a controlled hot and humid environment. Days later, the same participants drank cold water and ran on a treadmill in the same hot and humid environment. The table available below shows the times, in
minutes, it took to fatique on the treadmill for both the ice slurry and the cold water. Preliminary data analyses indicate that use of a paired t-test is reasonable. At the 1% significance level, do the data provide sufficient evidence to conclude
that, on average, cold water is less effective than ice slurry for optimizing athletic performance in the heat? Use the critical-value approach. (Note: The mean and standard deviation of the paired differences are - 4.8 minutes and 2.15
minutes, respectively.)
Click here to view the data. Click here to view a table of critical values of t. Let population 1 be the times to fatigue for cold water and let population 2 be the times to fatigue for ice slurry.
Time to Fatigue
T
Subject
Cold Water
Ice Slurry O
48
53
28
32
41
47
4
41
49
27
30
6.
38
44
7
36
38
8.
45
53
9
27
30
10
32
35
Print
Done
Transcribed Image Text:Cooling down with a cold drink before exercise in the heat is believed to help an athlete perform. A researcher explored the difference between cooling down with an ice slurry (slushy) and with cold water. Ten male participants drank a flavored ice slurry and ran on a treadmill in a controlled hot and humid environment. Days later, the same participants drank cold water and ran on a treadmill in the same hot and humid environment. The table available below shows the times, in minutes, it took to fatique on the treadmill for both the ice slurry and the cold water. Preliminary data analyses indicate that use of a paired t-test is reasonable. At the 1% significance level, do the data provide sufficient evidence to conclude that, on average, cold water is less effective than ice slurry for optimizing athletic performance in the heat? Use the critical-value approach. (Note: The mean and standard deviation of the paired differences are - 4.8 minutes and 2.15 minutes, respectively.) Click here to view the data. Click here to view a table of critical values of t. Let population 1 be the times to fatigue for cold water and let population 2 be the times to fatigue for ice slurry. Time to Fatigue T Subject Cold Water Ice Slurry O 48 53 28 32 41 47 4 41 49 27 30 6. 38 44 7 36 38 8. 45 53 9 27 30 10 32 35 Print Done
df
10.10
t0.025
10.01
10.005
df
3.078
6.314
12.706
31.821
6.965
63.657
2.920
2.353
2.
1.886
4.303
3.182
9.925
3
1.638
4.541
5.841
1.533
2.132
2.776
3.747
4.604
1.476
2.015
1.943
1.895
1.860
1.833
2.571
2.447
3.365
3.143
2.998
2.896
4.032
3.707
5
6.
1.440
6.
7
1.415
1.397
2.365
2.306
3.499
3.355
7
8.
8
9.
1.383
2.262
2.821
3.250
9.
10
1.372
1.812
2.228
2.764
3.169
3.106
3.055
10
11
1.363
1.796
2.201
2.718
11
1.356
1.782
2.179
2.160
2.145
12
2.681
12
13
1.350
1.345
1.771
1.761
2.650
2.624
3.012
13
14
2.977
14
15
16
1.341
1.337
1.753
2.131
2.602
2.583
2.567
2.552
2.539
2.947
2.921
15
16
1.746
2.120
17
1.333
1.740
2.110
2.898
17
18
1.330
2.878
1.734
1.729
2.101
18
19
1.328
2.093
2.861
19
20
1.325
1.725
2.086
2.528
2.845
20
21
1.323
1.721
1.717
2.080
2.518
2.831
2.819
21
22
1.321
2.074
2.508
22
23
1.319
1.714
2.069
2.500
2.807
23
24
1.318
1.711
2.064
2.492
2.797
24
25
1.316
1.708
2.060
2.485
2.787
25
26
1.315
1.706
2.056
2.479
2.473
2.467
2.462
2.779
26
27
27
1.314
2.052
1.703
1.701
2.771
28
29
28
29
1.313
2.048
2.763
1.311
1.699
2.045
2.756
30
1.697
2.042
2.040
2.037
2.035
1.310
2.457
2.750
30
31
1.309
1.696
2.453
2.744
31
32
33
1.309
1.694
2.449
2.738
2.733
2,728
32
33
1.308
1.692
2.445
34
1.307
1.691
2.032
2.441
34
35
1.306
1.690
2.030
2.438
2.724
2.719
2.715
35
36
1.306
1.688
2.028
2.434
36
37
1.305
1.687
2.026
2.431
37
38
1.304
1.686
1.685
2.024
2.023
2.429
2.712
2.708
38
39
1.304
2.426
39
40
1.303
1.684
2.021
2.423
2.704
40
41
1.303
2.020
1.683
1.682
1.681
2.421
2.701
41
1.302
1.302
42
2.018
2.418
2.698
42
43
2.017
2.015
2.416
2.695
2.692
43
44
1.301
1.680
2.414
44
2.014
2.013
45
2.412
2.410
2.690
2.687
1.301
1.679
1.679
45
46
1.300
46
47
1.300
1.678
2.012
2.408
2.685
47
48
1.299
1.677
2.011
2.407
2.682
48
49
1.299
1.677
2.010 2.405
2.680
49
df
1o.10
taes
t0.025
t0.005
df
Transcribed Image Text:df 10.10 t0.025 10.01 10.005 df 3.078 6.314 12.706 31.821 6.965 63.657 2.920 2.353 2. 1.886 4.303 3.182 9.925 3 1.638 4.541 5.841 1.533 2.132 2.776 3.747 4.604 1.476 2.015 1.943 1.895 1.860 1.833 2.571 2.447 3.365 3.143 2.998 2.896 4.032 3.707 5 6. 1.440 6. 7 1.415 1.397 2.365 2.306 3.499 3.355 7 8. 8 9. 1.383 2.262 2.821 3.250 9. 10 1.372 1.812 2.228 2.764 3.169 3.106 3.055 10 11 1.363 1.796 2.201 2.718 11 1.356 1.782 2.179 2.160 2.145 12 2.681 12 13 1.350 1.345 1.771 1.761 2.650 2.624 3.012 13 14 2.977 14 15 16 1.341 1.337 1.753 2.131 2.602 2.583 2.567 2.552 2.539 2.947 2.921 15 16 1.746 2.120 17 1.333 1.740 2.110 2.898 17 18 1.330 2.878 1.734 1.729 2.101 18 19 1.328 2.093 2.861 19 20 1.325 1.725 2.086 2.528 2.845 20 21 1.323 1.721 1.717 2.080 2.518 2.831 2.819 21 22 1.321 2.074 2.508 22 23 1.319 1.714 2.069 2.500 2.807 23 24 1.318 1.711 2.064 2.492 2.797 24 25 1.316 1.708 2.060 2.485 2.787 25 26 1.315 1.706 2.056 2.479 2.473 2.467 2.462 2.779 26 27 27 1.314 2.052 1.703 1.701 2.771 28 29 28 29 1.313 2.048 2.763 1.311 1.699 2.045 2.756 30 1.697 2.042 2.040 2.037 2.035 1.310 2.457 2.750 30 31 1.309 1.696 2.453 2.744 31 32 33 1.309 1.694 2.449 2.738 2.733 2,728 32 33 1.308 1.692 2.445 34 1.307 1.691 2.032 2.441 34 35 1.306 1.690 2.030 2.438 2.724 2.719 2.715 35 36 1.306 1.688 2.028 2.434 36 37 1.305 1.687 2.026 2.431 37 38 1.304 1.686 1.685 2.024 2.023 2.429 2.712 2.708 38 39 1.304 2.426 39 40 1.303 1.684 2.021 2.423 2.704 40 41 1.303 2.020 1.683 1.682 1.681 2.421 2.701 41 1.302 1.302 42 2.018 2.418 2.698 42 43 2.017 2.015 2.416 2.695 2.692 43 44 1.301 1.680 2.414 44 2.014 2.013 45 2.412 2.410 2.690 2.687 1.301 1.679 1.679 45 46 1.300 46 47 1.300 1.678 2.012 2.408 2.685 47 48 1.299 1.677 2.011 2.407 2.682 48 49 1.299 1.677 2.010 2.405 2.680 49 df 1o.10 taes t0.025 t0.005 df
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