00:01
An experiment on growing sweet peas, a team of students selected two factors at four levels and recorded weight, stem length, and root length after six and a half days of growth.
00:10
They root plants using various amounts of water and quick grow solution of fertilizer designed to help plants grow faster.
00:16
Each factor was run at four levels, little, some, moderate, and full.
00:20
They grew two plants under each of the 16 conditions.
00:23
Because of this, a two -way anova with interaction model was fit to the data resulted in the following anova table that you can see from the text.
00:30
Residuals, residual plots showed no violations of the variance or normality conditions.
00:36
A table of effects for quick grow shows in the text as well, and a table of effect for water shows the following in your text.
00:45
Read a report summarizing what the students have learned about the effects of water or quick growth solution on the early stages of sweet p growth is measured by weight.
00:54
All right, so in the first group, there are four groups.
01:02
In the first variable, four groups in the second variable.
01:06
We're going to assume a significance level of 0 .05.
01:12
There are two sets of hypotheses, one for the water variable and one for the quick growth solution variable.
01:21
So the null hypothesis for the first group would be water levels...