Testing the hypothesis, it is found that the appropriate test statistic is z = 0.54.
At the null hypothesis, it is <u>tested if the proportion of women physics majors in your college is the same as the national average of 19%</u>, that is:

At the alternative hypothesis, it is <u>tested if the proportion is different</u>, that is:

The test statistic is given by:
In which:
is the sample proportion.
- p is the proportion tested at the null hypothesis.
- n is the sample size.
For this problem, the parameters are:

Hence, the value of the <u>test statistic</u> is:



A similar problem is given at brainly.com/question/24166849