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 |
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
JUST PART B PLEASE AND THANK YOU TABLE OF CHI SQUARED VALUES. D.F = DEGREES OF...
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