A geneticist hypothesizes that half of a given population will have brown eyes and the remaining half will split evenly between blue- and green-eyed people. use the following sample of sixty individuals to test the geneticist's claim at a 5% of significance.
Brown eyes | Green eyes | Blue Eyes |
34 | 15 | 11 |
A. Hypothesis:
B. Degrees of freedom:
C. Expected number:
D. Test statistic:
E. Approximate p-value.
F. Decision:
G. what is the appropriate distribution? your choices are : Chi-squared, normal or t-distribution.
A) null hypothesis: Ho: pbrown =0.50 , pgreen =0.25 , pblue eyes =0.25
Alternate hpothesis: Ha: at least one of above proportion is not correct
b)
degree of freedom =categories-1= | 3 |
c)
Expected number for brown eyes =np=60*0.5 =30
Expected number for green eyes =np=60*0.25 =15
Expected number for blue eyes =np=60*0.25 =15
d)
Applying goodness of fit test:
relative | observed | Expected | residual | Chi square | |
category | frequency | Oi | Ei=total*p | R2i=(Oi-Ei)/√Ei | R2i=(Oi-Ei)2/Ei |
brown | 0.50 | 34.00 | 30.00 | 0.73 | 0.533 |
green | 0.25 | 15.00 | 15.00 | 0.00 | 0.000 |
blue | 0.25 | 11.00 | 15.00 | -1.03 | 1.067 |
total | 1.000 | 60 | 60 | 1.600 |
Test statistic: =1.600
e) p value =0.4493
F) Decision: fail to reject Ho
G) Chi-squared
Get Answers For Free
Most questions answered within 1 hours.