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Suppose You Wish to Test the Null Hypothesis That Three

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Suppose you wish to test the null hypothesis that three binomial parameters Suppose you wish to test the null hypothesis that three binomial parameters , , and are equal versus the alternative hypothesis that at least two of the parameters differ. Independent random samples of 100 observations were selected from each of the populations. The data are shown in the table: Write the null and alternative hypotheses for testing the equality of the three binomial proportions. : ______________ Test statistic: = ______________ What is the p-value? ______________ ______________ . There is ______________ sufficient evidence to indicate that the proportions depend upon the population from which they were drawn. , Suppose you wish to test the null hypothesis that three binomial parameters , , and are equal versus the alternative hypothesis that at least two of the parameters differ. Independent random samples of 100 observations were selected from each of the populations. The data are shown in the table: Write the null and alternative hypotheses for testing the equality of the three binomial proportions. : ______________ Test statistic: = ______________ What is the p-value? ______________ ______________ . There is ______________ sufficient evidence to indicate that the proportions depend upon the population from which they were drawn. , and Suppose you wish to test the null hypothesis that three binomial parameters , , and are equal versus the alternative hypothesis that at least two of the parameters differ. Independent random samples of 100 observations were selected from each of the populations. The data are shown in the table: Write the null and alternative hypotheses for testing the equality of the three binomial proportions. : ______________ Test statistic: = ______________ What is the p-value? ______________ ______________ . There is ______________ sufficient evidence to indicate that the proportions depend upon the population from which they were drawn. are equal versus the alternative hypothesis that at least two of the parameters differ. Independent random samples of 100 observations were selected from each of the populations. The data are shown in the table: Suppose you wish to test the null hypothesis that three binomial parameters , , and are equal versus the alternative hypothesis that at least two of the parameters differ. Independent random samples of 100 observations were selected from each of the populations. The data are shown in the table: Write the null and alternative hypotheses for testing the equality of the three binomial proportions. : ______________ Test statistic: = ______________ What is the p-value? ______________ ______________ . There is ______________ sufficient evidence to indicate that the proportions depend upon the population from which they were drawn. Write the null and alternative hypotheses for testing the equality of the three binomial proportions. Suppose you wish to test the null hypothesis that three binomial parameters , , and are equal versus the alternative hypothesis that at least two of the parameters differ. Independent random samples of 100 observations were selected from each of the populations. The data are shown in the table: Write the null and alternative hypotheses for testing the equality of the three binomial proportions. : ______________ Test statistic: = ______________ What is the p-value? ______________ ______________ . There is ______________ sufficient evidence to indicate that the proportions depend upon the population from which they were drawn. : Suppose you wish to test the null hypothesis that three binomial parameters , , and are equal versus the alternative hypothesis that at least two of the parameters differ. Independent random samples of 100 observations were selected from each of the populations. The data are shown in the table: Write the null and alternative hypotheses for testing the equality of the three binomial proportions. : ______________ Test statistic: = ______________ What is the p-value? ______________ ______________ . There is ______________ sufficient evidence to indicate that the proportions depend upon the population from which they were drawn. ______________
Test statistic: Suppose you wish to test the null hypothesis that three binomial parameters , , and are equal versus the alternative hypothesis that at least two of the parameters differ. Independent random samples of 100 observations were selected from each of the populations. The data are shown in the table: Write the null and alternative hypotheses for testing the equality of the three binomial proportions. : ______________ Test statistic: = ______________ What is the p-value? ______________ ______________ . There is ______________ sufficient evidence to indicate that the proportions depend upon the population from which they were drawn. = ______________
What is the p-value?
______________
______________ Suppose you wish to test the null hypothesis that three binomial parameters , , and are equal versus the alternative hypothesis that at least two of the parameters differ. Independent random samples of 100 observations were selected from each of the populations. The data are shown in the table: Write the null and alternative hypotheses for testing the equality of the three binomial proportions. : ______________ Test statistic: = ______________ What is the p-value? ______________ ______________ . There is ______________ sufficient evidence to indicate that the proportions depend upon the population from which they were drawn. .
There is ______________ sufficient evidence to indicate that the proportions depend upon the population from which they were drawn.

Definitions:

Conditional Probability

The likelihood of an event or outcome occurring, given that another event has already occurred.

Given Event

An occurrence or outcome within a probability space that has a specified probability attached to it.

Independent Events

Two or more events whose outcomes do not affect each other, meaning the occurrence of one event does not change the probability of the other.

Probability

A measure of the likelihood that an event will occur, expressed as a number between 0 and 1, where 1 indicates certainty.

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