THEME 2: About the Chi-square test for independence: Please consider the two cases below Case 1 Testcross Phenotype DD CASE 1 DR CASE 2 RD RR Number of offspring observed 72 27 23 78 Number of offspring expected 47 52 Value of the Chi-square statistic (large OR small) 48 53 Case 2 Testcross Phenotype DD DR RD RR Number of offspring observed 43 48 p-value (larger OR smaller than 0.05) 52 57 Number of offspring expected 43.2 a) Make predictions regarding the elements listed below for each case by choosing between the underlined alternatives provided in the heading in each column. 47.7 You DO NOT need to make the calculations for the Chi square statistic (please do not use your time for that), just make predictions from the data in the two cases. You can remind yourself about the relationship between Chi square, pvalue and retaining or rejecting Ho by looking at the table on Theme 2 slide number 18. 51.7 57.2 reject OR retain Ho conclusion regarding A and B (assorting independently OR linked) b) Briefly justify your choices making sure you mention what is the Ho in the Chi square test for independence?
THEME 2: About the Chi-square test for independence: Please consider the two cases below Case 1 Testcross Phenotype DD CASE 1 DR CASE 2 RD RR Number of offspring observed 72 27 23 78 Number of offspring expected 47 52 Value of the Chi-square statistic (large OR small) 48 53 Case 2 Testcross Phenotype DD DR RD RR Number of offspring observed 43 48 p-value (larger OR smaller than 0.05) 52 57 Number of offspring expected 43.2 a) Make predictions regarding the elements listed below for each case by choosing between the underlined alternatives provided in the heading in each column. 47.7 You DO NOT need to make the calculations for the Chi square statistic (please do not use your time for that), just make predictions from the data in the two cases. You can remind yourself about the relationship between Chi square, pvalue and retaining or rejecting Ho by looking at the table on Theme 2 slide number 18. 51.7 57.2 reject OR retain Ho conclusion regarding A and B (assorting independently OR linked) b) Briefly justify your choices making sure you mention what is the Ho in the Chi square test for independence?
Human Anatomy & Physiology (11th Edition)
11th Edition
ISBN:9780134580999
Author:Elaine N. Marieb, Katja N. Hoehn
Publisher:Elaine N. Marieb, Katja N. Hoehn
Chapter1: The Human Body: An Orientation
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Transcribed Image Text:THEME 2: About the Chi-square test for independence:
Please consider the two cases below
Case 1
Testcross
Phenotype
8%22
DD
CASE
1
DR
CASE
2
RD
RR
Number of
offspring
observed
72
27
23
78
Number of
offspring
expected
47
52
48
Value of the Chi-square
statistic (large OR small)
53
Case 2
Testcross
Phenotype
DD
DR
RD
RR
Number of
offspring
observed
43
48
p-value (larger OR smaller
than 0.05)
52
57
Number of
offspring
expected
43.2
a) Make predictions regarding the elements listed below for each case by choosing between the underlined
alternatives provided in the heading in each column.
47.7
You DO NOT need to make the calculations for the Chi square statistic (please do not use your time for that), just
make predictions from the data in the two cases. You can remind yourself about the relationship between Chi
square, pvalue and retaining or rejecting Ho by looking at the table on Theme 2 slide number 18.
51.7
57.2
reject OR retain Ho
conclusion regarding A and B
(assorting independently OR
linked)
b) Briefly justify your choices making sure you mention what is the Ho in the Chi square test for independence?
Expert Solution
Step 1: Introduction
This test helps us evaluate whether there's a significant affiliation between the variables, or in case they are assorting independently. In this setting, we'll consider two cases and make predictions regarding the Chi-square statistic, p-value, and the choice to hold or reject the null hypothesis (Ho).
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