40 | 1 | 363.9 |
40 | 1 | 501.4 |
40 | 2 | 448.2 |
40 | 2 | 914 |
40 | 3 | 532.2 |
40 | 3 | 589.8 |
50 | 1 | 810.2 |
50 | 1 | 688.3 |
50 | 2 | 385.4 |
50 | 2 | 790.7 |
50 | 3 | 800.7 |
50 | 3 | 796.2 |
60 | 1 | 376.8 |
60 | 1 | 982 |
60 | 2 | 1049 |
60 | 2 | 589.2 |
60 | 3 | 547.3 |
60 | 3 | 619.3 |
Age |
40 |
50 |
60 |
Fitness 1 |
363.9 |
810.2 |
376.8 |
501.4 |
688.3 |
982 |
|
Fitness 2 |
448.2 |
385.4 |
1049 |
914 |
790.7 |
589.2 |
|
Fitness 3 |
532.2 |
800.7 |
547.3 |
589.8 |
796.2 |
619.3 |
1. what is the value of the F test statistic for testing the hypothesis that age, on average, has no effect on running time?
2. what is the value of the F test statistic for testing the hypothesis that fitness, on average, has no effect on running time?
3. what is the value of the f test statistic for testing the hypothesis that the effective age, if any, on running time does not depend on the runners fitness?
Source | SS | df | MS | F | p-value |
Factor 1 | 17,624.590 | 2 | 8,812.2950 | 0.16 | .8558 |
Factor 2 | 84,693.623 | 2 | 42,346.8117 | 0.76 | .4949 |
Interaction | 1,48,810.287 | 4 | 37,202.5717 | 0.67 | .6297 |
Error | 5,00,604.340 | 9 | 55,622.7044 | ||
Total | 7,51,732.840 | 17 |
1. 0.76
2. 0.16
3. 0.67
Anova: Two-Factor With Replication SUMMARY Fitness1 Fitness2 Fitness3 Total Age 40 Count Sum Average Variance 27612.5 29621.78544.5 30818.88 848.81058.6 1459.6 424.4529.3 729.8 561.1667 3367 Age 50 Count Sum Average Variance 11130.32 15931.13 48329.41 81373.3 5991332.3 1734.5 3665.8 2995666.15 867.25 610.9667 Age 60 Count Sum Average 826.65989.91282.1 1032.883 Variance 52715.05 2164.82 73497.78 68271.01 2 1653.3 1979.8 2564.26197.3 Total Count Sum Average516.85728.45 959.7167 Variance 78997.254302.79 90611.45 3101.14370.75758.3 ANOVA Source of Varid SS MS P-value F crit Sample806020.7 Columns 588779.4 Interactio 51989.25 Within...
help please :) Single Sample t-Test Coach Brown is training his runners for an upcoming race, but he is concerned about their pace He takes down sample times from his top 7 runners to compare it to his all-time standard race speed of 7.9 minutes per kilometer (). The sample times from his runners were 8.55 minutes per kilometer (M) with a standard deviation estimate of 0.78 (s). Based on this data, complete the six steps of hypothesis testing given...
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Single Sample t-Test Coach Brown is training his runners for an upcoming race, but he is concerned about their pace. He takes down sample times from his top 7 runners to compare it to his all-time standard race speed of 7.9 minutes per kilometer (μ). The sample times from his runners were 8.55 minutes per kilometer (M) with a standard deviation estimate of 0.78 (s). Based on this data, complete the six steps of hypothesis testing given that our research...