1. Fill in the rest of this table:

Source: SS df MS F

Between 191.450 ? 47.863 ?

Within 104.720 32 ? ?

Total ? 36 ? ?

Please help in how to get the info in this....

Between df=

MS Within=

SS Total=

F value=

Based on your F value, are there significant differences? How do you know?

1. In a complex factorial design described as a 3 x 2 x 4

How many independent variables are there?

Please explain the makeup of each of the independent variables (e.g., how many levels aka groups are in the first, second, and third variables).

1. A researcher is interested in how plants respond to the environment. To study these differences, they randomly assign 120 plants to one of three groups: an auditorily-enriched environment (n=40), a visually-enriched environment (n=40), and a 'typical' environment (n=40). They then measure their growth after six months. In order to find out if there were differences in average growth after six months, they conduct an ANOVA using an alpha level of 0.05.

The SS between for the analysis was 405.2, and the SS within was 410.8.

Fill in the rest of the ANOVA table for them using the above information, and then figure out if there was a significant difference between groups (said another way, would you reject the null). Make sure your show your work for the following items:

SS Total=

Between df=

With df=

MS between=

MS within=

F=

Report the F critical value here as well=

	Sum of Squares	df	Mean Square	F
Between
Within
Total

1. If you did find significant results for an One-Way ANOVA with more than 2 levels, what would be the next steps that you would need to do? Why is this important?

1. The purpose of an experiment is to determine the effects of workout intensity (low and high) and diet type (low calorie, low fat, high protein) on strength development. Subjects were randomly assigned to a workout intensity and diet type. This would be considered a _______ x _________ between-subjects design.