1st phase of Rate of Feeding Study
Statistics ran on 11 October 2007
Meal Duration (seconds)
One Way Repeated Measures Analysis of VarianceThursday, October 11, 2007, 11:13:25 AM
Data source: Data 1 in exp2to5controls
Normality Test:Failed(P = 0.032)
Equal Variance Test:Passed(P = 0.095)
Treatment Name N MissingMeanStd DevSEM
e3md 20 0 1230.050 385.394 86.177
e4md 20 0 1532.500 433.644 96.966
e5md 20 0 1515.600 391.188 87.472
e6md 20 0 1642.550 349.603 78.174
Source of Variation DF SS MS F P
Between Subjects 19 5815312.050 306069.055
Between Treatments 3 1858419.850 619473.283 6.0780.001
Residual 57 5809383.650 101919.011
Total 79 13483115.550
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). To isolate the group or groups that differ from the others use a multiple comparison procedure.
Power of performed test with alpha = 0.050: 0.911
All Pairwise Multiple Comparison Procedures (Student-Newman-Keuls Method) :
Comparisons for factor:
ComparisonDiff of MeanspqPP<0.050
e6md vs. e3md 412.500 4 5.778 <0.001 Yes
e6md vs. e5md 126.950 3 1.778 0.425 No
e6md vs. e4md 110.050 2 1.542 0.280 Do Not Test
e4md vs. e3md 302.450 3 4.237 0.011 Yes
e4md vs. e5md 16.900 2 0.237 0.868 Do Not Test
e5md vs. e3md 285.550 2 4.000 0.007 Yes
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.
Number of FL consumed
One Way Repeated Measures Analysis of VarianceThursday, October 11, 2007, 11:16:15 AM
Data source: Data 1 in exp2to5controls
Normality Test:Passed(P > 0.050)
Equal Variance Test:Passed(P = 0.097)
Treatment Name N MissingMeanStd DevSEM
e3nFL 20 0 27.550 13.264 2.966
e4nFL 20 0 42.800 13.821 3.090
e5nFL 20 0 44.900 13.822 3.091
e6nFL 20 0 49.450 12.955 2.897
Source of Variation DF SS MS F P
Between Subjects 19 10669.550 561.555
Between Treatments 3 5412.650 1804.217 32.947<0.001
Residual 57 3121.350 54.761
Total 79 19203.550
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). To isolate the group or groups that differ from the others use a multiple comparison procedure.
Power of performed test with alpha = 0.050: 1.000
All Pairwise Multiple Comparison Procedures (Student-Newman-Keuls Method) :
Comparisons for factor:
ComparisonDiff of MeanspqPP<0.050
e6nFL vs. e3nFL 21.900 4 13.235 <0.001 Yes
e6nFL vs. e4nFL 6.650 3 4.019 0.017 Yes
e6nFL vs. e5nFL 4.550 2 2.750 0.057 No
e5nFL vs. e3nFL 17.350 3 10.485 <0.001 Yes
e5nFL vs. e4nFL 2.100 2 1.269 0.373 No
e4nFL vs. e3nFL 15.250 2 9.216 <0.001 Yes
Grams of Froot Loops Consumed
One Way Repeated Measures Analysis of VarianceThursday, October 11, 2007, 11:17:26 AM
Data source: Data 1 in exp2to5controls
Normality Test:Passed(P > 0.050)
Equal Variance Test:Passed(P = 0.094)
Treatment Name N MissingMeanStd DevSEM
e3gFL 20 0 5.995 2.930 0.655
e4gFL 20 0 9.050 2.976 0.665
e5gFL 20 0 9.475 2.790 0.624
e6gFL 20 0 10.385 2.609 0.583
Source of Variation DF SS MS F P
Between Subjects 19 481.307 25.332
Between Treatments 3 217.532 72.511 32.448<0.001
Residual 57 127.375 2.235
Total 79 826.215
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). To isolate the group or groups that differ from the others use a multiple comparison procedure.
Power of performed test with alpha = 0.050: 1.000
All Pairwise Multiple Comparison Procedures (Student-Newman-Keuls Method) :
Comparisons for factor:
ComparisonDiff of MeanspqPP<0.050
e6gFL vs. e3gFL 4.390 4 13.133 <0.001 Yes
e6gFL vs. e4gFL 1.335 3 3.994 0.018 Yes
e6gFL vs. e5gFL 0.910 2 2.722 0.059 No
e5gFL vs. e3gFL 3.480 3 10.411 <0.001 Yes
e5gFL vs. e4gFL 0.425 2 1.271 0.373 No
e4gFL vs. e3gFL 3.055 2 9.139 <0.001 Yes
Seconds per FL consumed
One Way Repeated Measures Analysis of VarianceThursday, October 11, 2007, 11:18:29 AM
Data source: Data 1 in exp2to5controls
Normality Test:Failed(P = <0.001)
Equal Variance Test:Passed(P = 0.231)
Treatment Name N MissingMeanStd DevSEM
e3sperFL 20 0 53.343 26.887 6.012
e4sperFL 20 0 38.474 16.596 3.711
e5sperFL 20 0 35.314 9.316 2.083
e6sperFL 20 0 34.985 10.441 2.335
Source of Variation DF SS MS F P
Between Subjects 19 14686.889 772.994
Between Treatments 3 4527.042 1509.014 10.750<0.001
Residual 57 8001.643 140.380
Total 79 27215.573
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). To isolate the group or groups that differ from the others use a multiple comparison procedure.
Power of performed test with alpha = 0.050: 0.998
All Pairwise Multiple Comparison Procedures (Student-Newman-Keuls Method) :
Comparisons for factor:
ComparisonDiff of MeanspqPP<0.050
e3sperFL vs. e6sperFL 18.358 4 6.929 <0.001 Yes
e3sperFL vs. e5sperFL 18.029 3 6.805 <0.001 Yes
e3sperFL vs. e4sperFL 14.869 2 5.612 <0.001 Yes
e4sperFL vs. e6sperFL 3.489 3 1.317 0.623 No
e4sperFL vs. e5sperFL 3.160 2 1.193 0.403 Do Not Test
e5sperFL vs. e6sperFL 0.329 2 0.124 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.