I’m interested in whether or not kids get hyper based on the type of drink they consume. I measure/define “hyper” as the time they spend running around. I recruited six kids to try 4 different drinks: water (my control), milk, Coke, and Coffee. I record the time (in minutes) spent running around after consuming each beverage. Using the data below, run a repeated measures ANOVA and assess whether the type of beverage impacts how much time kids spend active at an alpha level of 0.05. Kid Water Milk Coke Coffee Row means 1 5 3 10 12 2 6 3 12 15 3 4 4 9 14 4 4 4 14 16 5 7 4 13 15 6 5 3 10 15 1. Fill in the ANOVA summary tables below: Source Sum of Squares df MS (Variance) F Between-groups (Drink) ________ 3 _____ _____ Error ________ _____ _____ Total ________ _____ Source Sum of Squares df Between-persons ________ _____ 2. What do we conclude? 3. Using a bonferroni correction, run a posthoc test on type of drink and report any specific differences. (Which groups are significantly different? - alpha of 0.05 as criteria).
I’m interested in whether or not kids get hyper based on the type of drink they consume. I measure/define “hyper” as the time they spend running around. I recruited six kids to try 4 different drinks: water (my control), milk, Coke, and Coffee. I record the time (in minutes) spent running around after consuming each beverage. Using the data below, run a repeated measures ANOVA and assess whether the type of beverage impacts how much time kids spend active at an alpha level of 0.05.
|
Kid |
Water |
Milk |
Coke |
Coffee |
Row means |
|
1 |
5 |
3 |
10 |
12 |
|
|
2 |
6 |
3 |
12 |
15 |
|
|
3 |
4 |
4 |
9 |
14 |
|
|
4 |
4 |
4 |
14 |
16 |
|
|
5 |
7 |
4 |
13 |
15 |
|
|
6 |
5 |
3 |
10 |
15 |
|
1. Fill in the ANOVA summary tables below:
|
Source |
Sum of Squares |
df |
MS (Variance) |
F |
|
Between-groups (Drink) |
________ |
3 |
_____ |
_____ |
|
Error |
________ |
_____ |
_____ |
|
|
Total |
________ |
_____ |
|
|
|
Source |
Sum of Squares |
df |
|
Between-persons |
________ |
_____ |
2. What do we conclude?
3. Using a bonferroni correction, run a posthoc test on type of drink and report any specific differences. (Which groups are significantly different? - alpha of 0.05 as criteria).
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