Body Mass Data for Control & Stress Groups, Binge Eating Experiment with R. Mackechnie and K. Govind
From sigmastat file: bodymass.
Body Mass, 14 June 2007
One Way Analysis of Variance Monday, June 25, 2007, 4:11:57 PM
Data source: Data 1 in Notebook 1
Normality Test: Failed (P = 0.030)
Equal Variance Test: Passed (P = 0.653)
Group Name N Missing Mean Std Dev SEM
CS 10 0 323.200 9.531 3.014
C 10 0 317.900 11.050 3.494
IS 10 0 314.000 12.481 3.947
I 10 0 313.100 10.376 3.281
R3S 10 0 316.200 5.940 1.879
R3 10 0 315.300 7.987 2.526
R7S 10 0 312.400 10.679 3.377
R7 10 0 319.500 8.303 2.626
Source of Variation DF SS MS F P
Between Groups 7 919.800 131.400 1.386 0.224
Residual 72 6826.000 94.806
Total 79 7745.800
The differences in the mean values among the treatment groups are not great enough to exclude the possibility that the difference is due to random sampling variability; there is not a statistically significant difference (P = 0.224).
Power of performed test with alpha = 0.050: 0.160
The power of the performed test (0.160) is below the desired power of 0.800.
You should interpret the negative findings cautiously.
Body Mass, 18 June 2007
One Way Analysis of Variance Monday, June 25, 2007, 4:11:09 PM
Data source: Data 1 in Notebook 1
Normality Test: Passed (P > 0.050)
Equal Variance Test: Passed (P = 0.235)
Group Name N Missing Mean Std Dev SEM
CS 10 0 353.700 12.347 3.905
C 10 0 350.000 16.316 5.160
IS 10 0 342.200 15.490 4.899
I 10 0 341.400 10.522 3.327
R3S 10 0 347.800 9.390 2.969
R3 10 0 343.200 6.106 1.931
R7S 10 0 340.100 15.029 4.753
R7 10 0 353.100 10.049 3.178
Source of Variation DF SS MS F P
Between Groups 7 2056.588 293.798 1.924 0.078
Residual 72 10995.100 152.710
Total 79 13051.688
The differences in the mean values among the treatment groups are not great enough to exclude the possibility that the difference is due to random sampling variability; there is not a statistically significant difference (P = 0.078).
Power of performed test with alpha = 0.050: 0.365
The power of the performed test (0.365) is below the desired power of 0.800.
You should interpret the negative findings cautiously.
Body Mass, 21 June 2007
One Way Analysis of Variance Monday, June 25, 2007, 4:10:14 PM
Data source: Data 1 in Notebook 1
Normality Test: Passed (P > 0.050)
Equal Variance Test: Passed (P = 0.452)
Group Name N Missing Mean Std Dev SEM
CS 10 0 371.400 15.493 4.899
C 10 0 373.100 18.083 5.718
IS 10 0 360.500 17.822 5.636
I 10 0 358.500 14.804 4.682
R3S 10 0 368.900 11.348 3.588
R3 10 0 366.000 8.219 2.599
R7S 10 0 367.600 30.895 9.770
R7 10 0 371.500 13.575 4.293
Source of Variation DF SS MS F P
Between Groups 7 1960.088 280.013 0.918 0.497
Residual 72 21950.100 304.862
Total 79 23910.188
The differences in the mean values among the treatment groups are not great enough to exclude the possibility that the difference is due to random sampling variability; there is not a statistically significant difference (P = 0.497).
Power of performed test with alpha = 0.050: 0.050
The power of the performed test (0.050) is below the desired power of 0.800.
You should interpret the negative findings cautiously.
Body Mass, 25 June 2007
One Way Analysis of Variance Monday, June 25, 2007, 4:54:29 PM
Data source: Data 1 in body_mass
Normality Test: Passed (P > 0.050)
Equal Variance Test: Passed (P = 0.602)
Group Name N Missing Mean Std Dev SEM
CS 10 0 402.200 19.510 6.169
C 10 0 400.100 24.411 7.719
IS 10 0 383.800 19.002 6.009
I 10 0 380.200 16.884 5.339
R3S 10 0 395.400 16.494 5.216
R3 10 0 391.500 12.599 3.984
R7S 10 0 381.000 17.645 5.580
R7 10 0 398.500 15.636 4.945
Source of Variation DF SS MS F P
Between Groups 7 5498.287 785.470 2.408 0.028
Residual 72 23483.100 326.154
Total 79 28981.387
The differences in the mean values among the treatment groups are greater than would be expected by chance; there is a statistically significant difference (P = 0.028).
Power of performed test with alpha = 0.050: 0.554
The power of the performed test (0.554) is below the desired power of 0.800.
You should interpret the negative findings cautiously.
All Pairwise Multiple Comparison Procedures (Student-Newman-Keuls Method) :
Comparisons for factor: Group
Comparison Diff of Means p q P P<0.050
CS vs. I 22.000 8 3.852 0.132 No
CS vs. R7S 21.200 7 3.712 0.134 Do Not Test
CS vs. IS 18.400 6 3.222 0.217 Do Not Test
CS vs. R3 10.700 5 1.874 0.677 Do Not Test
CS vs. R3S 6.800 4 1.191 0.834 Do Not Test
CS vs. R7 3.700 3 0.648 0.891 Do Not Test
CS vs. C 2.100 2 0.368 0.796 Do Not Test
C vs. I 19.900 7 3.485 0.188 Do Not Test
C vs. R7S 19.100 6 3.344 0.183 Do Not Test
C vs. IS 16.300 5 2.854 0.268 Do Not Test
C vs. R3 8.600 4 1.506 0.712 Do Not Test
C vs. R3S 4.700 3 0.823 0.830 Do Not Test
C vs. R7 1.600 2 0.280 0.844 Do Not Test
R7 vs. I 18.300 6 3.204 0.222 Do Not Test
R7 vs. R7S 17.500 5 3.064 0.204 Do Not Test
R7 vs. IS 14.700 4 2.574 0.273 Do Not Test
R7 vs. R3 7.000 3 1.226 0.663 Do Not Test
R7 vs. R3S 3.100 2 0.543 0.702 Do Not Test
R3S vs. I 15.200 5 2.662 0.336 Do Not Test
R3S vs. R7S 14.400 4 2.521 0.290 Do Not Test
R3S vs. IS 11.600 3 2.031 0.328 Do Not Test
R3S vs. R3 3.900 2 0.683 0.631 Do Not Test
R3 vs. I 11.300 4 1.979 0.504 Do Not Test
R3 vs. R7S 10.500 3 1.839 0.400 Do Not Test
R3 vs. IS 7.700 2 1.348 0.344 Do Not Test
IS vs. I 3.600 3 0.630 0.897 Do Not Test
IS vs. R7S 2.800 2 0.490 0.730 Do Not Test
R7S vs. I 0.800 2 0.140 0.921 Do Not Test
A result of "Do Not Test" occurs for a comparison when no significant difference is found between two means that enclose that comparison. For example, if you had four means sorted in order, and found no difference between means 4 vs. 2, then you would not test 4 vs. 3 and 3 vs. 2, but still test 4 vs. 1 and 3 vs. 1 (4 vs. 3 and 3 vs. 2 are enclosed by 4 vs. 2: 4 3 2 1). Note that not testing the enclosed means is a procedural rule, and a result of Do Not Test should be treated as if there is no significant difference between the means, even though one may appear to exist.
Body Mass 28 June 2007
One Way Analysis of Variance Thursday, June 28, 2007, 1:33:57 PM
Data source: Data 1 in body_mass.SNB
Normality Test: Passed (P > 0.050)
Equal Variance Test: Passed (P = 0.746)
Group Name N Missing Mean Std Dev SEM
CS 10 0 414.100 20.426 6.459
C 10 0 418.400 26.830 8.484
IS 10 0 392.500 19.260 6.091
I 10 0 393.600 18.356 5.805
R3S 10 0 406.500 16.352 5.171
R3 10 0 407.400 15.742 4.978
R7S 10 0 393.300 20.462 6.471
R7 10 0 410.700 21.833 6.904
Source of Variation DF SS MS F P
Between Groups 7 7244.388 1034.913 2.543 0.021
Residual 72 29299.300 406.935
Total 79 36543.688
The differences in the mean values among the treatment groups are greater than would be expected by chance; there is a statistically significant difference (P = 0.021).
Power of performed test with alpha = 0.050: 0.601
The power of the performed test (0.601) is below the desired power of 0.800.
You should interpret the negative findings cautiously.
All Pairwise Multiple Comparison Procedures (Student-Newman-Keuls Method) :
Comparisons for factor: Group
Comparison Diff of Means p q P P<0.050
C vs. IS 25.900 8 4.060 0.094 No
C vs. R7S 25.100 7 3.935 0.093 Do Not Test
C vs. I 24.800 6 3.888 0.078 Do Not Test
C vs. R3S 11.900 5 1.865 0.680 Do Not Test
C vs. R3 11.000 4 1.724 0.617 Do Not Test
C vs. R7 7.700 3 1.207 0.671 Do Not Test
C vs. CS 4.300 2 0.674 0.635 Do Not Test
CS vs. IS 21.600 7 3.386 0.216 Do Not Test
CS vs. R7S 20.800 6 3.261 0.205 Do Not Test
CS vs. I 20.500 5 3.214 0.166 Do Not Test
CS vs. R3S 7.600 4 1.191 0.834 Do Not Test
CS vs. R3 6.700 3 1.050 0.739 Do Not Test
CS vs. R7 3.400 2 0.533 0.707 Do Not Test
R7 vs. IS 18.200 6 2.853 0.343 Do Not Test
R7 vs. R7S 17.400 5 2.728 0.312 Do Not Test
R7 vs. I 17.100 4 2.681 0.239 Do Not Test
R7 vs. R3S 4.200 3 0.658 0.888 Do Not Test
R7 vs. R3 3.300 2 0.517 0.716 Do Not Test
R3 vs. IS 14.900 5 2.336 0.470 Do Not Test
R3 vs. R7S 14.100 4 2.210 0.406 Do Not Test
R3 vs. I 13.800 3 2.163 0.283 Do Not Test
R3 vs. R3S 0.900 2 0.141 0.921 Do Not Test
R3S vs. IS 14.000 4 2.195 0.413 Do Not Test
R3S vs. R7S 13.200 3 2.069 0.315 Do Not Test
R3S vs. I 12.900 2 2.022 0.157 Do Not Test
I vs. IS 1.100 3 0.172 0.992 Do Not Test
I vs. R7S 0.300 2 0.0470 0.974 Do Not Test
R7S vs. IS 0.800 2 0.125 0.930 Do Not Test
A result of "Do Not Test" occurs for a comparison when no significant difference is found between two means that enclose that comparison. For example, if you had four means sorted in order, and found no difference between means 4 vs. 2, then you would not test 4 vs. 3 and 3 vs. 2, but still test 4 vs. 1 and 3 vs. 1 (4 vs. 3 and 3 vs. 2 are enclosed by 4 vs. 2: 4 3 2 1). Note that not testing the enclosed means is a procedural rule, and a result of Do Not Test should be treated as if there is no significant difference between the means, even though one may appear to exist.
Day 27 Body mass
One Way Analysis of Variance Thursday, July 19, 2007, 2:23:40 PM
Data source: Data 1 in body_mass.SNB
Normality Test: Passed (P > 0.050)
Equal Variance Test: Passed (P = 0.354)
Group Name N Missing Mean Std Dev SEM
S 40 0 472.125 31.021 4.905
NS 40 0 495.550 42.550 6.728
Source of Variation DF SS MS F P
Between Groups 1 10974.613 10974.613 7.916 0.006
Residual 78 108140.275 1386.414
Total 79 119114.887
The differences in the mean values among the treatment groups are greater than would be expected by chance; there is a statistically significant difference (P = 0.006).
Power of performed test with alpha = 0.050: 0.748
The power of the performed test (0.748) is below the desired power of 0.800.
You should interpret the negative findings cautiously.
All Pairwise Multiple Comparison Procedures (Student-Newman-Keuls Method) :
Comparisons for factor: STRESS/NO STRESS
Comparison Diff of Means p q P P<0.050
NS vs. S 23.425 2 3.979 0.006 Yes
Day 27 body mass, stressed vs non-stressed
t-test Thursday, July 19, 2007, 2:25:22 PM
Data source: Data 1 in body_mass.SNB
Normality Test: Passed (P > 0.050)
Equal Variance Test: Passed (P = 0.354)
Group Name N Missing Mean Std Dev SEM
Stressed 40 0 472.125 31.021 4.905
Nnon-stressed 40 0 495.550 42.550 6.728
Difference -23.425
t = -2.814 with 78 degrees of freedom. (P = 0.006)
95 percent confidence interval for difference of means: -40.001 to -6.849
The difference in the mean values of the two groups is greater than would be expected by chance; there is a statistically significant difference between the input groups (P = 0.006).
Power of performed test with alpha = 0.050: 0.748
The power of the performed test (0.748) is below the desired power of 0.800.
You should interpret the negative findings cautiously.
Day 27 body mass
One Way Analysis of Variance Thursday, July 19, 2007, 2:27:28 PM
Data source: Data 1 in body_mass.SNB
Normality Test: Passed (P > 0.050)
Equal Variance Test: Passed (P = 0.711)
Group Name N Missing Mean Std Dev SEM
CS 10 0 484.500 31.483 9.956
C 10 0 524.800 34.839 11.017
IS 10 0 455.900 34.001 10.752
I 10 0 467.100 32.067 10.141
R3S 10 0 483.400 23.263 7.356
R3 10 0 481.400 48.576 15.361
R7S 10 0 464.700 28.574 9.036
R7 10 0 508.900 31.200 9.866
Source of Variation DF SS MS F P
Between Groups 7 37395.188 5342.170 4.707 <0.001
Residual 72 81719.700 1134.996
Total 79 119114.887
The differences in the mean values among the treatment groups are greater than would be expected by chance; there is a statistically significant difference (P = <0.001).
Power of performed test with alpha = 0.050: 0.970
All Pairwise Multiple Comparison Procedures (Student-Newman-Keuls Method) :
Comparisons for factor: Group
Comparison Diff of Means p q P P<0.050
C vs. IS 68.900 8 6.467 <0.001 Yes
C vs. R7S 60.100 7 5.641 0.003 Yes
C vs. I 57.700 6 5.416 0.004 Yes
C vs. R3 43.400 5 4.074 0.041 Yes
C vs. R3S 41.400 4 3.886 0.037 Yes
C vs. CS 40.300 3 3.783 0.025 Yes
C vs. R7 15.900 2 1.492 0.295 No
R7 vs. IS 53.000 7 4.975 0.013 Yes
R7 vs. R7S 44.200 6 4.149 0.049 Yes
R7 vs. I 41.800 5 3.924 0.053 No
R7 vs. R3 27.500 4 2.581 0.270 Do Not Test
R7 vs. R3S 25.500 3 2.394 0.215 Do Not Test
R7 vs. CS 24.400 2 2.290 0.110 Do Not Test
CS vs. IS 28.600 6 2.685 0.412 No