Analysis of Variance with Repeated Measures-Case Study
Instructions: To successfully complete this case study, all of the following instructions must be adhered to. Only paste tables/figures
that contain pertinent information. Only paste tables/ figures where you are instructed to do so. HIGHLIGHT (in yellow) only relevant
the data from tables; as well as your response to each question. In the write-up section, all information must be provided in paragraph
format. When statistical values are discussed, the numerical value must be given and a reference must be made to the table(s)/figure(s)
where the value(s) can be found. An example of this is “heart rate was statistically greater during running versus cycling (189 vs. 143
bpm) as indicated in Table 1.
I. Analysis of Variance with Repeated Measures
Research question: “is there a statistically significant difference in the core body temperature at minutes: 0, 15, and 30
while exercising in a hot environment?”
Assumptions Testing
1 Data level of measurement- what is the level of measurement for the data used in this case study? Ratio
2 Would the amount of skewness and kurtosis in these affect the analysis? How do you know? Give numerical values to support
your conclusion.
None of the skewness or kurtosis effected the data.
Temp Minute 0 Skewness .682/.687 = .992 Kurtosis -1.171/1.334 = -.877
Temp Minute 15 Skewness -.060/.687 = -.087 Kurtosis -.700/1.334 = -.524
Temp Minute 30 Skewness .244/.687 = .355 Kurtosis -.556/1.334 = .416
1
, Analysis of Variance with Repeated Measures-Case Study
Table 1. PASTE TABLE with skewness and kurtosis BELOW
Descriptives
Std.
Statistic Error
Core_temp_min_ Mean 36.950 .1249
0 95% Confidence Lower 36.667
Interval for Mean Bound
Upper 37.233
Bound
5% Trimmed Mean 36.939
Median 36.750
Variance .156
Std. Deviation .3951
Minimum 36.5
Maximum 37.6
Range 1.1
Interquartile Range .7
Skewness .682 .687
Kurtosis -1.171 1.334
Core_temp_min_ Mean 37.200 .1687
15 95% Confidence Lower 36.818
Interval for Mean Bound
Upper 37.582
Bound
5% Trimmed Mean 37.206
2
, Analysis of Variance with Repeated Measures-Case Study
Median 37.150
Variance .284
Std. Deviation .5333
Minimum 36.3
Maximum 38.0
Range 1.7
Interquartile Range 1.0
Skewness -.060 .687
Kurtosis -.700 1.334
Core_temp_min_ Mean 37.630 .1739
30 95% Confidence Lower 37.237
Interval for Mean Bound
Upper 38.023
Bound
5% Trimmed Mean 37.622
Median 37.650
Variance .302
Std. Deviation .5498
Minimum 36.8
Maximum 38.6
Range 1.8
Interquartile Range .9
Skewness .244 .687
Kurtosis -.556 1.334
3
Instructions: To successfully complete this case study, all of the following instructions must be adhered to. Only paste tables/figures
that contain pertinent information. Only paste tables/ figures where you are instructed to do so. HIGHLIGHT (in yellow) only relevant
the data from tables; as well as your response to each question. In the write-up section, all information must be provided in paragraph
format. When statistical values are discussed, the numerical value must be given and a reference must be made to the table(s)/figure(s)
where the value(s) can be found. An example of this is “heart rate was statistically greater during running versus cycling (189 vs. 143
bpm) as indicated in Table 1.
I. Analysis of Variance with Repeated Measures
Research question: “is there a statistically significant difference in the core body temperature at minutes: 0, 15, and 30
while exercising in a hot environment?”
Assumptions Testing
1 Data level of measurement- what is the level of measurement for the data used in this case study? Ratio
2 Would the amount of skewness and kurtosis in these affect the analysis? How do you know? Give numerical values to support
your conclusion.
None of the skewness or kurtosis effected the data.
Temp Minute 0 Skewness .682/.687 = .992 Kurtosis -1.171/1.334 = -.877
Temp Minute 15 Skewness -.060/.687 = -.087 Kurtosis -.700/1.334 = -.524
Temp Minute 30 Skewness .244/.687 = .355 Kurtosis -.556/1.334 = .416
1
, Analysis of Variance with Repeated Measures-Case Study
Table 1. PASTE TABLE with skewness and kurtosis BELOW
Descriptives
Std.
Statistic Error
Core_temp_min_ Mean 36.950 .1249
0 95% Confidence Lower 36.667
Interval for Mean Bound
Upper 37.233
Bound
5% Trimmed Mean 36.939
Median 36.750
Variance .156
Std. Deviation .3951
Minimum 36.5
Maximum 37.6
Range 1.1
Interquartile Range .7
Skewness .682 .687
Kurtosis -1.171 1.334
Core_temp_min_ Mean 37.200 .1687
15 95% Confidence Lower 36.818
Interval for Mean Bound
Upper 37.582
Bound
5% Trimmed Mean 37.206
2
, Analysis of Variance with Repeated Measures-Case Study
Median 37.150
Variance .284
Std. Deviation .5333
Minimum 36.3
Maximum 38.0
Range 1.7
Interquartile Range 1.0
Skewness -.060 .687
Kurtosis -.700 1.334
Core_temp_min_ Mean 37.630 .1739
30 95% Confidence Lower 37.237
Interval for Mean Bound
Upper 38.023
Bound
5% Trimmed Mean 37.622
Median 37.650
Variance .302
Std. Deviation .5498
Minimum 36.8
Maximum 38.6
Range 1.8
Interquartile Range .9
Skewness .244 .687
Kurtosis -.556 1.334
3
