10.10 Hypothesis Tests for The Population Proportion (of Successes) p

Suppose we extract a random sample of size n (>30) from a binomial population and we seek to test a hypothesis about p, the population proportion of successes. Under H0: p = po, we know that, for a binomial random variable X,

img

Let us construct our standardized test statistic as

(10.1) equation

which is N(0,1) distributed for large n. Here Equation (10.1) serves as the calculated value of our test statistic under H0: p = po (assumed true).1

Looking to the types of tests, we have the following:

a. One-tail test (upper tail)

img

For α small, img (Fig. 10.12).
b. One-tail test (lower tail)

img

Now, img (Fig. 10.13).
c. Two-tail test

equation

Figure 10.12 Upper-tail critical region.

Figure 10.13 Lower-tail critical region.

In this instance,

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