- The student will conduct a hypothesis test of a single population proportion.
Summary: This module provides a practice of Hypothesis Testing of Single Mean and Single Proportion as a part of Collaborative Statistics collection (col10522) by Barbara Illowsky and Susan Dean.
The National Institute of Mental Health published an article stating that in any one-year period, approximately 9.5 percent of American adults suffer from depression or a depressive illness. (http://www.nimh.nih.gov/publicat/depression.cfm) Suppose that in a survey of 100 people in a certain town, seven of them suffered from depression or a depressive illness. Conduct a hypothesis test to determine if the true proportion of people in that town suffering from depression or a depressive illness is lower than the percent in the general adult American population.
Is this a test of means or proportions?
State the null and alternative hypotheses.
Is this a right-tailed, left-tailed, or two-tailed test? How do you know?
What symbol represents the Random Variable for this test?
In words, define the Random Variable for this test.
Calculate the following:
Calculate
State the distribution to use for the hypothesis test.
Sketch a graph of the situation. Label the horizontal axis. Mark the hypothesized mean and the sample proportion, p-hat. Shade the area corresponding to the p-value.
Find the p-value
At a pre-conceived
Does it appear that the proportion of people in that town with depression or a depressive illness is lower than general adult American population? Why or why not?
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