In: Statistics and Probability
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Problem #1(a): |
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Problem #1(b): |
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Problem #1(c): |
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Solution:
Here, we have to use chi square test for goodness of fit.
Null hypothesis: H0: Data follows genetics laws.
Alternative hypothesis: Ha: Data do not follow genetics laws.
We are given level of significance = α = 0.10
Test statistic formula is given as below:
Chi square = ∑[(O – E)^2/E]
We are given
N = 3
Degrees of freedom = df = N – 1 = 2
α = 0.10
Critical value = 4.60517019
(by using Chi square table or excel)
Calculation tables for test statistic are given as below:
Color |
Exp. Prob. |
O |
E |
(O - E)^2 |
(O - E)^2/E |
Black |
0.75 |
311 |
319.5 |
72.25 |
0.226134585 |
Brown |
0.1875 |
85 |
79.875 |
26.265625 |
0.328834116 |
Pale |
0.0625 |
30 |
26.625 |
11.390625 |
0.427816901 |
Total |
1 |
426 |
426 |
0.982785603 |
Chi square = ∑[(O – E)^2/E] = 0.982785603
P-value = 0.611773724
(By using Chi square table or excel)
P-value > α = 0.10
So, we do not reject the null hypothesis
There is sufficient evidence to conclude that the given data follows genetics laws.
Problem 1(a)
Test statistic = 0.983
Problem 1(b)
Critical value = 4.605
Problem 1(c)
Conclusion:
(A) We conclude that the theory is true since
the answer in (a)
is less than or equal to the answer in (b).