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Artificial trees? An association of Christmas tree growers in Indiana wants to know if there is a difference in preference for natural trees between urban and rural households. So the association sponsored a survey of Indiana households that had a Christmas tree last year to find out. In a random sample of 160rural households, 64had a natural tree. In a separate random sample of 261urban households, 89had a natural tree. A 95%confidence interval for the difference (Rural 鈥 Urban) in the true proportion of households in each population that had a natural tree is -0.036to0.154. Does the confidence interval provide convincing evidence that the two population proportions are equal? Explain your answer.

Short Answer

Expert verified

It provides convincing evidence that two population proportion are equal.

Step by step solution

01

Given Information

It is given that we have(-0.036,0.154)at95%confidence interval.

02

Explanation

The interval (-0.036,0.154)contains zero, It is likely that difference of proportion is zero. Two population proportions can be equal.

It implies that there is possibility that population proportions are equal.

It can be concluded that there is no convincing evidence that two population proportions are not equal.

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Most popular questions from this chapter

Researchers want to evaluate the effect of a natural product on reducing blood pressure. They plan to carry out a randomized experiment to compare the mean reduction in blood pressure of a treatment (natural product) group and a placebo group. Then they will use the data to perform a test of H0:TP=0versus Ha:TP>0, where T= the true mean reduction in blood pressure when taking the natural product and 渭P = the true mean reduction in blood pressure when taking a placebo for subjects like the ones in the experiment. The researchers would like to detect whether the natural product reduces blood pressure by at least 7points more, on average, than the placebo. If groups of size 50are used in the experiment, a twosample t test using =0.01will have a power of 80%to detect a 7-point difference in mean blood pressure reduction. If the researchers want to be able to detect a 5-point difference instead, then the power of the test

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