jernplate8
2021-10-19
Answered

Critical Thinking Suppose you take a random sample from a normal population and you want to determine whether there is sufficient statistical evidence to claim that the population variance differs from a corresponding variance specified in a goverment contract. Which type of test is appropriate, a test of one variance or a test of two variances?

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Gennenzip

Answered 2021-10-20
Author has **96** answers

The claim is to test whether the population variance is different from government contract variance or not. In the study, the population variance is compared with the fixed variance value. This shows that, using the test of one variance is appropriate.

The test of two variances is used for comparing variances of two populations. This shows that, using test of two variances is not appropriate.

Hence, the test that would be appropriate to determine whether the population variance differs from variance specified in a goverment contract is test of one variance.

The test of two variances is used for comparing variances of two populations. This shows that, using test of two variances is not appropriate.

Hence, the test that would be appropriate to determine whether the population variance differs from variance specified in a goverment contract is test of one variance.

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A. goodness of fit test

B. test for independence

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15a. An instructor tests whether class attendance (low, high) and grade point average (low, average, high) are independent.

A. goodness of fit test

B. test for independence

15b. An educator tests whether the teacher's speaking style (monotone, dynamic) and student interest (low, high) are independent.

A. goodness of fit test

B. test for independence

15c. A sports psychologist compares the number of athletes with Type A or Type B personality traits.

A. goodness of fit test

B. test for independence

Any help

asked 2021-08-14

Resource managers of forest game lands were concerned about the size of the deer and rabbit populations during the winter months in a particular forest. As an estimate of population size, they proposed using the average number of pellet groups for rabbits and deer per 30-foot-square plots. From an aerial photograph, the forest was divided into N= 10,000 30-foot-square grids. A simple random sample of 2 = 500 plots was taken, and the number of pellet groups was observed for rabbits and for deer. The results of this study are summarized in the accompanying table.

a. Estimate$\mu}_{1},{\textstyle \phantom{\rule{1em}{0ex}}}\text{and}{\textstyle \phantom{\rule{1em}{0ex}}}{\mu}_{2$ , the average number of pellet groups for deer and rabbits, respectively, per 30-foot-square-plots. Place bounds on the errors of estimation.

b. Estimate the difference in the mean size of pellet groups per plot for the two animals, with an appropriate margin of error.

Deer

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Sample variance = 0.65

Rabbits

Sample mean = 4.52

Sample variance = 0.97

a. Estimate

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Deer

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2. Students are grouped according to year level. Ten representative from each year level were chosen at random using lottery method to answer a survey on the use of Blended Learning Approach.