Register to read the introduction…
Deviation |Std. Error Mean |
|Pair 1 |
| |N |Correlation |Sig. |
|Pair 1 |Before & After |20 |.193 |.415 |
|Paired Samples Test |
| |Paired Differences |
|9 |4 |
|3 |7 …show more content…
| |.875 |
The one-way ANOVA showed no significant difference between practice time (< 15 hours, 15 – 25 hours, > 25 hours) and the time to complete a 100-yard freestyle, F (2, 33) = 0.160, p = 0.853. Because of this, the post-hoc test was not needed. We fail to reject the null. The practice time is not associated with time to complete 100-yard free-style in this sample.
7. When would you use a factorial ANOVA rather than a simple ANOVA to test the significance of the difference between the averages of two or more groups?
A factorial ANOVA is used when you have two or more nominal variables as independent variables and a continuous variable as a dependent variable. One or more of the nominal variables can have more than two levels. A one-way ANOVA only has one independent nominal variable with more than two
|Pair 1 |
| |N |Correlation |Sig. |
|Pair 1 |Before & After |20 |.193 |.415 |
|Paired Samples Test |
| |Paired Differences |
|9 |4 |
|3 |7 …show more content…
| |.875 |
The one-way ANOVA showed no significant difference between practice time (< 15 hours, 15 – 25 hours, > 25 hours) and the time to complete a 100-yard freestyle, F (2, 33) = 0.160, p = 0.853. Because of this, the post-hoc test was not needed. We fail to reject the null. The practice time is not associated with time to complete 100-yard free-style in this sample.
7. When would you use a factorial ANOVA rather than a simple ANOVA to test the significance of the difference between the averages of two or more groups?
A factorial ANOVA is used when you have two or more nominal variables as independent variables and a continuous variable as a dependent variable. One or more of the nominal variables can have more than two levels. A one-way ANOVA only has one independent nominal variable with more than two