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A claim is tested that less than 90% of adults have cell phones.

The p-value for this test is equal to 0.0003.

Let p be the population proportion of adults who have cell phones.

In correspondence with the given claim, the following hypotheses are set up:

Null Hypothesis\[\left( {{H_0}} \right):p = 0.90\]

Alternative Hypothesis \[\left( {{H_1}} \right):p < 0.90\]

a.

If the p-value is less than the level of significance, the null hypothesis is rejected; otherwise, not.

Here, the level of significance is equal to 0.05, and the p-value is equal to 0.0003.

Since the p-value is less than 0.05, the null hypothesis is rejected.

b.

There is sufficient evidence to support the claim that the percentage of adults who have cell phones is less than 90%.