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Suppose the null and alternative hypothesis for a significance test are defined as

H0: μ=403051526=0.200=20.0%H0 : μ=40

Ha: μ<403051526=0.200=20.0%Ha : μ<40

Which of the following specific values for Ha will give the highest power? a. μ=383051526=0.200=20.0%μ=38

b. μ=393051526=0.200=20.0%μ=39

c. μ=413051526=0.200=20.0%μ=41

d. μ=423051526=0.200=20.0%μ=42

e. μ=43 3051526=0.200=20.0%μ=43

Short Answer

Expert verified

The correct option is - (a)μ=38will give the highest power .

Step by step solution

01

Given Information 

We are given a null hypothesis and alternate hypothesis for a given significance test . We need to find which will give the highest power .

02

Explanation

The null and alternate hypothesis give the highest power when it is less than and furthest from 40. So, the given furthest value is 38. Hence it will give the highest power .

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Most popular questions from this chapter

American-made cars Nathan and Kyle both work for the Department of Motor Vehicles (DMV), but they live in different states. In Nathan’s state, 80%of the registered cars are made by American manufacturers. In Kyle’s state, only 60%of the registered cars are made by American manufacturers. Nathan selects a random sample of 100cars in his state and Kyle selects a random sample of 70cars in his state. Let pn-pkbe the difference (Nathan’s state – Kyle’s state) in the sample proportion of cars made by American manufacturers.

a. What is the shape of the sampling distribution of pn-pk? Why?

b. Find the mean of the sampling distribution.

c. Calculate and interpret the standard deviation of the sampling distribution.

Which of the following will increase the power of a significance test?

a. Increase the Type II error probability.

b. Decrease the sample size.

c. Reject the null hypothesis only if the P-value is less than the significance level.

d. Increase the significance level α.

e. Select a value for the alternative hypothesis closer to the value of the null hypothesis.

Have a ball! Can students throw a baseball farther than a softball? To find out, researchers conducted a study involving 24randomly selected students from a large high school. After warming up, each student threw a baseball as far as he or she could and threw a softball as far as he she could, in a random order. The distance in yards for each throw was recorded. Here are the data, along with the difference (Baseball – Softball) in distance thrown, for each student:

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c. State appropriate hypotheses for performing a test about the true mean difference. Be sure to define any parameter(s) you use.

d. Explain why the Normal/Large Sample condition is not met in this case. The mean difference (Baseball−Softball) in distance thrown for these 24students is xdiff = 6.54yards. Is this a surprisingly large result if the null hypothesis is true? To find out, we can perform a simulation assuming that students have the same ability to throw a baseball and a softball. For each student, write the two distances thrown on different note cards. Shuffle the two cards and designate one distance to baseball and one distance to softball. Then subtract the two distances (Baseball−Softball) . Do this for all the students and find the simulated mean difference. Repeat many times. Here are the results of 100trials of this simulation

e. Use the results of the simulation to estimate the P-value. What conclusion would you draw ?

Candles A company produces candles. Machine 1 makes candles with a mean

length of 15cm and a standard deviation of 0.15cm. Machine 2 makes candles with a

mean length of 15cm and a standard deviation of 0.10cm. A random sample of 49

candles is taken from each machine. Let x ̄1−x ̄2 be the

difference (Machine 1 – Machine 2) in the sample mean length of candles. Describe the

shape, center, and variability of the sampling distribution of x ̄1−x ̄2.

Digital video disks A company that records and sells rewritable DVDs wants to compare the reliability of DVD fabricating machines produced by two different manufacturers. They randomly select 500DVDs produced by each fabricator and find that 484of the disks produced by the first machine are acceptable and 480of the disks produced by the second machine are acceptable. If p1,p2are the proportions of acceptable DVDs produced by the first and second machines, respectively, check if the conditions for calculating a confidence interval for p1-p2are met.

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