In: Statistics and Probability
  | 
||||||||||||
| 
 Problem #1(a):  | 
  | 
|||||||||||
| 
 Problem #1(b):  | 
  | 
|||||||||||
| Problem #1(c): | 
  | 
|||||||||||
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).