In: Statistics and Probability
In the data, levels of fertilizer are 1 (none), 2 (light), 3 (moderate), 4 (heavy) and levels of herbicide are 1 (none) and 2(some).
fert herb yield
1 1 64.40
1 1 61.20
1 1 58.34
1 1 59.72
1 1 62.84
1 1 62.59
2 1 59.09
2 1 62.59
2 1 63.71
2 1 64.01
2 1 66.50
2 1 60.11
3 1 64.40
3 1 66.98
3 1 63.78
3 1 66.52
3 1 65.17
3 1 62.33
4 1 54.69
4 1 64.27
4 1 64.40
4 1 63.56
4 1 65.77
4 1 66.07
1 2 57.50
1 2 59.38
1 2 61.04
1 2 61.54
1 2 61.06
1 2 61.64
2 2 66.67
2 2 63.62
2 2 66.20
2 2 65.59
2 2 62.85
2 2 66.07
3 2 70.37
3 2 62.72
3 2 67.85
3 2 63.74
3 2 64.88
3 2 63.96
4 2 61.83
4 2 64.20
4 2 65.94
4 2 67.56
4 2 60.28
4 2 67.75
Give a statement to be tested, identify the random variables involved and the assumptions you make about them, state the hypotheses to be tested, ask SPSS to run the analysis for you, including a post hoc, and then discuss the outcome. Describe the critical region(s) upon which you base your decisions. Include any SPSS output in your discussion.
The SPSS output is:
The random variable is various levels of fertilizer and of herbicide.
Assumptions for Two Way ANOVA
There is a significant main effect of fertilizer. (F (3, 40) = 5.594, p < 0.05)
There is no significant main effect of herbs. (F (1, 40) = 1.330, p > 0.05)
There is no significant interaction effect. (F (3, 40) = 1.013, p > 0.05)
There is a significant mean difference between light and none fertilizer.
There is a significant mean difference between moderate and none fertilizer.
There is a significant mean difference between heavy and none fertilizer.