A 1994 Time magazine survey of 507 randomly selected adult Catholics in the United States found that 59% answered yes to the
the question “Do you support allowing women to become priests?” Suppose
someone wants to claim that more than 55% of adult Catholics in the United
States are in favor of allowing women to become priests.

is this based on one sample or two samples?
is this a one-tailed or a two-tailed test?
What is the p-value?

From the test the parson wants, and the sample data, we build the test hypothesis and find the p-value.

Suppose  someone wants to claim that more than 55% of adult Catholics in the United  States are in favor of allowing women to become priests.

At the null hypothesis, it is tested that the proportion is of at most 55%, that is:

At the alternative hypothesis, it is tested that the proportion is of more than 55%, that is:

Since we are testing only one proportion, it is a one-sample test. Since we are testing only if the proportion is higher/lower, in this case higher, than a value, it is a one-tailed test.

P-value:

To find the p-value of the test, we first have to find the test statistic.

The test statistic is:

In which X is the sample mean, is the value tested at the nu

0.55 is tested at the null hypothesis:

This means that

From the sample:

Survey of 507, 59% answer yes, thus:

Value of the test statistic:

P-value from the test statistic:

The p-value of the test is the probability of finding a sample proportion above 1.81, which is 1 subtracted by the p-value of z = 1.81.

Looking at the z-table, z = 1.81 has a p-value of 0.9649.

1 - 0.9649 = 0.0351.

Thus, the p-value of the test is of 0.0351.

For another example of a similar problem, you can check

answer: there are x+184 pages in olivia's book.

step-by-step explanation:

let the total number of pages in the book which olive has already read be x.

then if olive has 184 pages left to read, then the total number of pages are in olive's book= pages she has read+pages she has left to read

therefore, the total number of pages in olivia's book=

hence, there are x+184 pages in olivia's book.

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