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Rules for Assigning h5762a Answer ALL of the following: What are the assumptions of the Hardy-Weinberg Law? a) b) People with

JUST PART B PLEASE AND THANK YOU

TABLE OF CHI SQUARED VALUES. D.F = DEGREES OF FREEDOM

df <0.10 <0.05 <0.01 <0.001
1 2.706 3.841 6.635 10.8
2 4.605 5.991 9.210 13.8
3 6.251 7.815 11.345 16.3
4 7.779 9.488 13.277 18.5
5 9.236 11.070 15.086 20.5
6 10.645 12.592 16.812 22.4
8 13.362 15.507 20.090 26.1
10 15.987 18.307 23.209 29.6
12 18.549 21.026 26.217 32.9
20 28.412 31.410 37.566 45.3
25 34.382 37.652 44.314 52.6
0 0
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Answer #1

a) according to Hardy-Weinberg equilibrium allelic frequencies in a large population will remain constant when there are mutations, no migration, random mating, no natural selection. so the assumptions here are 1) population is large, 2) random mating, 3) No migration, 4) no natural selection, 5) no mutation

b) HbA/HbA= 405

HbA/HbS=450

HbS/HbS=45

Let's calculate the frequency of HbS allele

genotypic frequency of HbS/HbS= number of HbS/HbS/total number

=45/900

=0.05

Genotypic frequency of HbS/HbA= number of HbA/HbS/900

=450/900

=0.5

allelic frequency of HbS= Genotypic frequency of HbS/HbS+ ( genotypic frequency of HbS/HbA)/2

=0.05+0.25

= 0.3

Allelic frequency of HbS+ Allelic frequency of HbA=1

Allelic frequency of HbA= 1-0.3

=0.7

Expected number of HbA/HbA= Expected genotypic frequency of HbA/HbA* total number

= ( allelic frequency of HbA)^2*900

= (0.7)^2*900

=441

Expected number of HbA/HbS= Expected genotypic frequency of HbA/HbS*900

= (2* allelic frequency of HbA*allelic frequency of HbS*900)

=2*0.7*0.3*900

= 378

Expected number of HbS/HbS= Expected genotypic frequency of HbS/HbS*900

= ( allelic frequency of HbS)^2*900

=(0.3)^2*900

=81

For chi-square test null hypothesis= Population is in Hardy-Weinberg equilibrium

Genotype Expected ( E) Observed (O) (E-O)^2/E
HbA/HbA 441 405 2.9387
HbA/HbS 378 450 13.714
HbS/HbS 81 45 16

Chi-square value= 2.9387+13.714+16

=32.6527

this is one locus 2 allele case so df=2-1

=1

for P<0.05 and df=1 value from Chi-square table=3.841 so we reject null hypothesis so this population is not in Hardy-Weinberg equilibrium

i) from the chi-square analysis population is not in Hardy-Weinberg equilibrium

ii) from chi-square analysis for P<0.05 and df=1 value from Chi-square table=3.841 so we reject null hypothesis so this population is not in Hardy-Weinberg equilibrium

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