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Section I: Multiple ChoiceChoose the best answer for Questions AP4.1–AP4.40.
AP4.1 A major agricultural company is testing a new variety of wheat to determine whether it is more resistant to certain insects than the current wheat variety. The proportion of a current wheat crop lost to insects is 0.04. Thus, the company wishes to test the following hypotheses:
H0:p=0.04

Ha:p<0.04

Which of the following significance levels and sample sizes would lead to the highest power for this test?
a. n=200 and α=0.01
b. n=400and α=0.05
c.n=400and α=0.01
d. n=500and α=0.01
e. n=500 and α=0.05

Short Answer

Expert verified

The correct answer is option (e) n=500 and α=0.05.

Step by step solution

01

Given information

To determine the significance levels and sample sizes that lead to the highest power for the test.

02

Explanation

A large agricultural corporation is evaluating a new wheat type to see if it is more bug resistant than the current wheat variety. While the power for a given value of the alternative can potentially be calculated.

Simple notions can be used to address the question:
The larger the sample size size, better possible it is to identify variations.
The lower the power, the more difficult it is to reject the null hypothesis, and the more likely you are to commit a type Il error.
As a result, when alpha and sample size are both large, the power is maximized.
As a result, option (e) is the proper answer.

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Most popular questions from this chapter

T12.11 Growth hormones are often used to increase the weight gain of chickens. In an experiment using 15 chickens, 3 chickens were randomly assigned to each of 5 different doses of growth hormone (0, 0.2, 0.4, 0.8, and 1.0 milligrams). The subsequent weight gain (in ounces) was recorded for each chicken. A researcher plots the data and finds that a linear relationship appears to hold. Here is computer output from a least-squares
regression analysis of these data. Assume that the conditions for performing inference about the slope β1of the true regression line are met.

a. Interpret each of the following in context:
i. The slope
ii. The y intercept
iii. The standard deviation of the residuals
iv. The standard error of the slope
b. Do the data provide convincing evidence of a linear relationship between dose and weight gain? Carry out a significance test at the α=0.05 level.
c. Construct and interpret a 95%confidence interval for the slope parameter

Random assignment is part of a well-designed comparative experiment because

a. it is fairer to the subjects.

b. it helps create roughly equivalent groups before treatments are imposed on the subjects.

c. it allows researchers to generalize the results of their experiment to a larger population.

d. it helps eliminate any possibility of bias in the experiment.

e. it prevents the placebo effect from occurring.

Multiple Choice Select the best answer for Exercises 23-28. Exercises 23-28 refer to the following setting. To see if students with longer feet tend to be taller, a random sample of 25students was selected from a large high school. For each student, x=footlength&y=heightwere recorded. We checked that the conditions for inference about the slope of the population regression line are met. Here is a portion of the computer output from a least-squares regression analysis using these data:

Which of the following is a 95%confidence interval for the population slope β1?

a.3.0867±0.4117

b. 3.0867±0.8518

c.3.0867±0.8069

d.3.0867±0.8497

e.localid="1654193042763" 3.0867±0.8481

SAT Math scores Is there a relationship between the percent of high school graduates in each state who took the SAT and the state’s mean SAT Math score? Here is a residual plot from a linear regression analysis that used data from all 50states in a recent year. Explain why the conditions for performing inference about the slope β1 of the population regression line are not met.

T12.10We record data on the population of a particular country from 1960 to 2010. A
scatterplot reveals a clear curved relationship between population and year. However, a different scatterplot reveals a strong linear relationship between the logarithm (base 10) of the population and the year. The least-squares regression line for the transformed data is
log(population)=^13.5+0.01(year)
Based on this equation, which of the following is the best estimate for the population of the country in the year 2020?
a. 6.7
b. 812
c. 5,000,000
d. 6,700,000
e. 8,120,000

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