Use a repeated-measures ANOVA

Dec 3rd, 2015
DotaCN
Category:
Statistics
Price: $20 USD

Question description

Kotiaho et al. (2001) studied reproduction in the dung beetle Onthophagus taurus. They recorded the offspring mass and carapace length for each of three litters sired by 12 males, and then used these measurements to construct an index called offspring condition. Positive values of condition mean that offspring in that litter for relatively heavy for their body size, while negative values indicate that offspring were relatively lightweight for their body size. The average condition scores for each litter are given below, and litters for each male are listed in order from the first one sired to the third one sired.

Male

1st Litter

2nd Litter

3rd Litter

A

0.82

0.44

0.92

B

0.35

0.19

1.39

C

0.12

0.84

0.16

D

0.49

0.59

-0.23

E

0.44

0.33

0.07

F

0.01

0.29

0.3

G

0.69

-0.49

-0.6

H

0.13

-0.43

0.66

I

0.21

-0.34

-0.09

J

-0.35

-1.4

-0.45

K

-1.04

-0.34

-0.82

L

-1.27

-0.75

-0.86

A)  Use a repeated-measures ANOVA to analyze and interpret these data.

B)  Why should this be done as a repeated-measures ANOVA, rather than either a single-factor ANOVA or a two-factor ANOVA?

C)  Calculate the regression equation between the condition scores of the first litter and the condition scores of the second litter, then determine if this regression slop is significantly different from zero.


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