Question

In: Statistics and Probability

Offspring of fruit flies may have red or brown bodies and normal wings or short wings....

Offspring of fruit flies may have red or brown bodies and normal wings or short wings. Genetic theory predicts that these traits will appear in the ratio​ 9:3:3:1 (9 red​, ​normal: 3 red​, ​short: 3 brown​, ​normal: 1 brown​, ​short). A researcher checks 100 such flies and finds the distribution of the traits to be 55​, 20​, 14​, and 11​, respectively.

Compute the​ chi-square statistic. x²=

critical value?

P-value?

Suppose you double the amount of flies to 200 and the distribution of the traits respectively

what would the new chi-square statistic be?

critical value?

P-Value?

Solutions

Expert Solution

Genetic theory predicts that these traits will appear in the ratio​ 9:3:3:1 (9 red​, ​normal: 3 red​, ​short: 3 brown​, ​normal: 1 brown​, ​short) so proportion of each color will be

P(red,normal) = 9 / (9+3+3+1) = 0.5625

P(red,short) = 3 / (9+3+3+1) = 0.1875

P(brown, normal) = 3 / (9+3+3+1) = 0.1875

P(brown, short) = 1 / (9+3+3+1) = 0.0625

Following table shows the calculations for chi-square statistic. x²:

O p E=p*100 (O-E)^2/E
Red, normal 55 0.5625 56.25 0.02777778
Red, short 20 0.1875 18.75 0.08333333
Brown, normal 14 0.1875 18.75 1.20333333
Brown, short 11 0.0625 6.25 3.61
Total 100 1 100 4.92444444

The test statitics is

Degree of freedom: df = 4-1=3

Let level of significance is alpha=0.05

The critical value of chi square test statistics using exce function "=CHIINV(0.05,3)" is 7.81.

The p-value using excel function "=CHIDIST(4.92,3)" is 0.1777.

Since p-value is greater than level of significance so we fail to reject the null hypothesis.

----------------------------------------------------

For sample size 200:

Following table shows the calculations for chi-square statistic. x²:

O p E=p*200 (O-E)^2/E
Red, normal 110 0.5625 112.5 0.05555556
Red, short 40 0.1875 37.5 0.16666667
Brown, normal 28 0.1875 37.5 2.40666667
Brown, short 22 0.0625 12.5 7.22
Total 200 1 200 9.84888889

The test statitics is

Degree of freedom: df = 4-1=3

Let level of significance is alpha=0.05

The critical value of chi square test statistics using exce function "=CHIINV(0.05,3)" is 7.81.

The p-value using excel function "=CHIDIST(9.84,3)" is 0.0200

Since p-value is less than level of significance so we reject the null hypothesis.


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