Download and read the data frame from genotype.csv. This data set contains weigh

Question

Download and read the data frame from genotype.csv. This data set contains weight of litters (all individuals combined), the genotype of the litter (indicated by a letter) and the genotype of a foster mother (indicated by a letter) who was randomly assigned to raise the litter. The goal of this study is to determine the effect of litter and foster mother genotype on litter weight. I need to know what kind of analysis would this be?

Litter Mother Wt 1 A A 61.5 2 A A 68.2 3 A A 64 4 A A 65 5 A A 59.7 6 A B 55 7 A B 42 8 A B 60.2 9 A I 52.5 10 A I 61.8 11 A I 49.5 12 A I 52.7 13 A J 42 14 A J 54 15 A J 61 16 A J 48.2 17 A J 39.6 18 B A 60.3 19 B A 51.7 20 B A 49.3 21 B A 48 22 B B 50.8 23 B B 64.7 24 B B 61.7 25 B B 64 26 B B 62 27 B I 56.5 28 B I 59 29 B I 47.2 30 B I 53 31 B J 51.3 32 B J 40.5 33 I A 37 34 I A 36.3 35 I A 68 36 I B 56.3 37 I B 69.8 38 I B 67 39 I I 39.7 40 I I 46 41 I I 61.3 42 I I 55.3 43 I I 55.7 44 I J 50 45 I J 43.8 46 I J 54.5 47 J A 59 48 J A 57.4 49 J A 54 50 J A 47 51 J B 59.5 52 J B 52.8 53 J B 56 54 J I 45.2 55 J I 57 56 J I 61.4 57 J J 44.8 58 J J 51.5 59 J J 53 60 J J 42 61 J J 54

Explanation / Answer

since variables are categorical in nature. i use chi square test for my analysis.

Tabulated Statistics: Litter, Mother

Rows: Litter Columns: Mother

A B I J All

A 5 3 4 5 17
4.459 3.902 4.459 4.180

B 4 5 4 2 15
3.934 3.443 3.934 3.689

I 3 3 5 3 14
3.672 3.213 3.672 3.443

J 4 3 3 5 15
3.934 3.443 3.934 3.689

All 16 14 16 15 61

Cell Contents: Count
Expected count

Pearson Chi-Square = 3.382, DF = 9, P-Value = 0.947
Likelihood Ratio Chi-Square = 3.396, DF = 9, P-Value = 0.947

* NOTE * 16 cells with expected counts less than 5

with chi sq = 3.382 and p-value >0.05, i fail to reject ho of independence of litter and mother. that is litter and motehr are indepndent.

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