Answer:
The null hypothesis is rejected.
There is enough evidence to support the claim that the proportion of right-pawed mice found in the A/HeJ sample differs significantly from what was known about the A/J strain.
Explanation:
This is a hypothesis test for the difference between proportions.
The claim is that the proportion of right-pawed mice found in the A/HeJ sample differs significantly from what was known about the A/J strain.
Then, the null and alternative hypothesis are:
where π1: proportion of right-pawed in strain A/J, and π2: proportion of right-pawed strain A/HeJ.
The significance level is 0.05. We will use the P-value approach to reject the null hypothesis or not.
The sample 1, of size n1=27 has a proportion of p1=0.67.
The sample 2, of size n2=35 has a proportion of p2=0.51.
The difference between proportions is (p1-p2)=-0.514285714285714.
p_d=p_1-p_2=0.67-0.51=-0.51429
The pooled proportion, needed to calculate the standard error, is:
The estimated standard error of the difference between means is computed using the formula:
Then, we can calculate the z-statistic as:
This test is a two-tailed test, so the P-value for this test is calculated as (using a z-table):
As the P-value (0.000042) is smaller than the significance level (0.05), the effect is significant.
The null hypothesis is rejected.
There is enough evidence to support the claim that the proportion of right-pawed mice found in the A/HeJ sample differs significantly from what was known about the A/J strain.