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The one-sample t-test is a statistical hypothesis test that is used to see if an unknown population mean differs from a given value.

The relevant null and alternative hypotheses must be stated first in a hypothesis test.

When completing the test, the second step is to consider the statistical assumptions made about the sample. The relevant test statistic is then shown, and its distribution is calculated using the null hypothesis assumptions.

The null hypothesis states that there is no difference between a proportion and the proportion of the population.

The alternative hypothesis is a population assertion that contradicts to$H_0$

Note that $H_0$always has a symbol with an equal in it and $H_a$never has a symbol with an equal in it.

We know that a statistics instructor believes that fewer than $20\%$students attended the opening night midnight showing of the latest Harry Potter movie.

So, the null hypothesis is:

$H_0:p鈮�0.2$

Therefore, option a is not correct.

The null hypothesis states that there is no difference between a proportion and the proportion of the population. The alternative hypothesis is a population assertion that contradicts$H_0.$

As $20\%$students attend the opening show of harry potter movie, the null hypothesis is:

$H_0:p鈮�0.2$

and alternative hypothesis is:

$H_a:p>0.2$

We know that a statistics instructor believes that fewer than $20\%$students attended the opening night midnight showing of the latest Harry Potter movie.

So, the null hypothesis is:

$H_0:p鈮�0.2$

Then, the alternative hypothesis is:

$H_a:p>0.2$

Therefore, option c is not correct.

We know that a statistics instructor believes that fewer than $20\%$students attended the opening night midnight showing of the latest Harry Potter movie.

So, the null hypothesis is:

$H_0:p鈮�0.2$

Therefore, option d is not correct.