s each, plus 1 point for your name) ranswers the question. ber 6. In conducting

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s each, plus 1 point for your name) ranswers the question. ber 6. In conducting a hypothesis test about Pi-P2, any of the following approaches can be used except a. comparing the observed frequencies to the expected frequencies comparing the p-value to comparing the hypothesized difference to the confidence interval comparing the test statistic to the critical value b, c. d. 7. Both the hypothesis test for proportions of a multinomial population and the test of independence employ the a. F distribution b. t distribution c. normal distribution d. chi-square distribution dom 8. In regression analysis, the variable that is being predicted is the a. dependent variable b. independent variable c. intervening variable d. None of these answers is correct. jected g on er this it test In regression analysis, the independent variable is a. used to predict other independent variables b. used to predict the dependent variable c. called the intervening variable d. None of these answers is correct 9. The equation that describes how the dependent variable () is related to the independent variable 10. (x) is called a. the correlation model b. the regression model c. correlation analysis d. None of these answers is correct le

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6) A option

The test procedure, called the two-proportion z-test, is appropriate when the following conditions are met:

This approach consists of four steps: (1) state the hypotheses, (2) formulate an analysis plan, (3) analyze sample data, and (4) interpret results.

State the Hypotheses

Every hypothesis test requires the analyst to state a null hypothesis and an alternative hypothesis. The table below shows three sets of hypotheses. Each makes a statement about the difference d between two population proportions, P1 and P2. (In the table, the symbol means " not equal to ".)

The first set of hypotheses (Set 1) is an example of a two-tailed test, since an extreme value on either side of the sampling distribution would cause a researcher to reject the null hypothesis. The other two sets of hypotheses (Sets 2 and 3) are one-tailed tests, since an extreme value on only one side of the sampling distribution would cause a researcher to reject the null hypothesis.

When the null hypothesis states that there is no difference between the two population proportions (i.e., d = 0), the null and alternative hypothesis for a two-tailed test are often stated in the following form.

H0: P1 = P2
Ha: P1 P2

Formulate an Analysis Plan

The analysis plan describes how to use sample data to accept or reject the null hypothesis. It should specify the following elements.

Set Null hypothesis Alternative hypothesis Number of tails 1 P1 - P2 = 0 P1 - P2 0 2 2 P1 - P2> 0 P1 - P2 < 0 1 3 P1 - P2< 0 P1 - P2 > 0 1

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