Answer:
There is significant learning
Explanation:
This is a test on comparison of a single proportion with a hypothesized proportion.
The subject of interest is whether rats really learn.
![H_0: p = 0.5\\H_a: p >0.5\\](https://img.qammunity.org/2020/formulas/mathematics/high-school/xchnqq9vekjd3jgsukzblzid36otevpntm.png)
(Right tailed test)
n =100
Sample proportion p = 0.62
Std error of p assuming H0 to be true is
=
![\sqrt{(pq)/(n) } =0.05](https://img.qammunity.org/2020/formulas/mathematics/high-school/n9beysqlaogc0p9bkasfmi4o46gs6exj4o.png)
p difference = 0.12
Z statistic = p difference/std error =
![(0.12)/(0.05) \\=2.4](https://img.qammunity.org/2020/formulas/mathematics/high-school/qkk1dvql406kb9wgujlbj49tpunsnagv46.png)
p value = 0.0082
Since p <0.01, our alpha we reject null hypothesis
There is significant learning