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Researchers suspect that Variety A tomato plants have a different average yield than Variety B tomato plants. To find out, researchers randomly select10Variety A and10Variety B tomato plants. Then the researchers divide in half each of10small plots of land in different locations. For each plot, a coin toss determines which half of the plot gets a Variety A plant; a Variety B plant goes in the other half. After harvest, they compare the yield in pounds for the plants at each location. The10differences (Variety A − Variety B) in yield are recorded. A graph of the differences looks roughly symmetric and single-peaked with no outliers. The mean difference is x-=0.343051526=0.200=20%x-A-B=0.34and the standard deviation of the differences is s A-B=0.833051526=0.200=20%=sA-B=0.83.LetμA-B=3051526=0.200=20%μA−B = the true mean difference (Variety A − Variety B) in yield for tomato plants of these two varieties.

The P-value for a test of H0: μA−B=03051526=0.200=20%versus Ha: μA−B≠0 is 0.227. Which of the following is the

correct interpretation of this P-value?

a. The probability that μA−B is0.227.

b. Given that the true mean difference (Variety A – Variety B) in yield for these two varieties of tomato plants is0, the probability of getting a sample mean difference of0.34is0.227.

c. Given that the true mean difference (Variety A – Variety B) in yield for these two varieties of tomato plants is0, the probability of getting a sample mean difference of0.34or greater is0.227.

d. Given that the true mean difference (Variety A – Variety B) in yield for these two varieties of tomato plants is0, the probability of getting a sample mean difference greater than or equal to0.34or less than or equal to −0.34is0.227.

e. Given that the true mean difference (Variety A – Variety B) in yield for these two varieties of tomato plants is not 0, the probability of getting a sample mean difference greater than or equal to 0.34or less than or equal to −0.34is0.227.

Short Answer

Expert verified

The correct option is (d) The true mean difference is0and the probability of getting a sample mean difference is greater than or equal to0.34or less than or equal to-0.34is0.227.

Step by step solution

01

Given Information

We are given theP-value and we have to find out which value will be satisfied from the given options.

02

Explanation

According to the question,

the H0:μA-B=0,Hα:μA-B≠0,x-=0.34andP-value=0.227

The P-value is known as the probability of obtaining the sample results or extreme. The true difference is0.34that, as there is no boundary, it is two-sided and that is why the P-value is greater than or equal to0.34or less than or equal to0.34and as the null hypothesis, the H value is considered to be zero, which implies that the true difference is also0.

Hence, option (d) is correct.

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Most popular questions from this chapter

Children make choices Refer to Exercise 15.

a. Explain why the sample results give some evidence for the alternative hypothesis.

b. Calculate the standardized test statistic and P-value.

c. What conclusion would you make?

A researcher wished to compare the average amount of time spent in extracurricular activities by high school students in a suburban school district with that in a school district of a large city. The researcher obtained an SRS of 60high school students in a large suburban school district and found the mean time spent in extracurricular activities per week to be 6hours with a standard deviation of 3hours. The researcher also obtained an independent SRS of 40high school students in a large city school district and found the mean time spent in extracurricular activities per week to be 5hours with a standard deviation of 2hours. Suppose that the researcher decides to carry out a significance test of H0: μsuburban=μcity versus a two-sided alternativ

The P-value for the test is 0.048. A correct conclusion is to

a. fail to reject H0because0.048<α=0.05. There is convincing evidence of a difference in the average time spent on extracurricular activities by students in the suburban and city school districts.

b. fail to reject H0because 0.048<α=0.05. There is not convincing evidence of a difference in the average time spent on extracurricular activities by students in the suburban and city school districts.

c. fail to reject H0because0.048<α=0.05. There is convincing evidence that the average time spent on extracurricular activities by students in the suburban and city school districts is the same.

d. reject H0because 0.048<α=0.05. There is not convincing evidence of a difference in the average time spent on extracurricular activities by students in the suburban and city school districts.

e. reject H0because 0.048<α=0.05 . There is convincing evidence of a difference in the average time spent on extracurricular activities by students in the suburban and city school districts.

Who talks more—men or women? Researchers equipped random samples of 56 male and 56 female students from a large university with a small device that secretly records sound for a random 30 seconds during each 12.5-minute period over 2 days. Then they counted the number of words spoken by each subject during each recording period and, from this, estimated how many words per day each subject speaks. The female estimates had a mean of 16,177 words per day with a standard deviation of 7520 words per day. For

the male estimates, the mean was 16,569 and the standard deviation was 9108. Do these data provide convincing evidence at the α=0.053051526=0.200=20.0%α=0.05significance level of a difference in the average number of words spoken in a day by all male and all female students at this university?

Based on the P-value in Exercise 71, which of the following must be true?

a. A 90%confidence interval for μM−μF3051526=0.200=20.0%μM-μFwill contain 0

b. A 95%confidence interval for μM−μF3051526=0.200=20.0%μM-μFwill contain 0

c. A 99%confidence interval for μM−μF3051526=0.200=20.0%μM-μFwill contain 0

d. A 99.9% confidence interval for μM−μF3051526=0.200=20.0%μM-μF will contain 0

According to sleep researchers, if you are between the ages of 12and 18years old, you need 9hours of sleep to function well. A simple random sample of 28students was chosen from a large high school, and these students were asked how much sleep they got the previous night. The mean of the responses was 7.9hours with a standard deviation of 2.1hours. If we are interested in whether students at this high school are getting too little sleep, which of the following represents the appropriate null and alternative hypotheses ?

  1. H0:μ=7.9and Ha:μ<7.9
  2. H0:μ=7.9and Ha:μ≠7.9
  3. H0:μ=9and Ha:μ≠9
  4. H0:μ=9and width="69" height="24" role="math">Ha:μ<9
  5. H0:μ≤9andHa:μ≥9
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