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The power of tomatoes The researchers who carried out the experiment in Exercise 75suspect that the large P-value (0.114) is due to low power.

(a) Describe a Type I and a Type II error in this setting. Which type of error could you have made in Exercise 75? Why?

(b) Explain two ways that the researchers could have increased the power of the test to detect .

Short Answer

Expert verified

a. Type II error since we failed to reject H0.

b. Increasing the significance level, decreasing the standard deviation sxor increasing the sample size.

Step by step solution

01

Given information

The researchers who carried out the experiment in Exercise 75suspect that the large P-value (0.114) is due to low power.

02

Explanation (part a)

Type I error: experts conclude that Variety A has a higher mean yield when it actually doesn’t.

Type II error: experts conclude that there is no mean difference in yields when, in fact,

Variety A has a higher mean yield.

Type II error since we failed to reject H0.

03

Explanation (part b)

Increasing the significance level, decreasing the standard deviation sxor increasing the sample size.

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Most popular questions from this chapter

Healthy bones The recommended daily allowance (RDA) of calcium for women between the ages of 18and 24years is 1200milligrams (mg). Researchers who were involved in a large-scale study of women’s bone health suspected that their participants had significantly lower calcium intakes than the RDA. To test this suspicion, the researchers measured the daily calcium intake of a random sample of 36women from the study who fell in the desired age range. The Minitab output below displays descriptive statistics for these data, along with the results of a significance test.

(a) Determine whether there are any outliers. Show your work.

(b) Interpret the P-value in context.

(c) Do these data give convincing evidence to support the researchers’ suspicion? Carry out a test pg 571to help you answer this question.

Study more! The significance test in Exercise 76yields a P-value of 0.0622.

(a) Describe a Type I and a Type II error in this setting. Which type of error could you have made in Exercise 76? Why?

(b) Which of the following changes would give the test a higher power to detect μ=120minutes: using α=0.01or α=0.10? Explain.

When asked to explain the meaning of the P-value in Exercise 13, a student

says, “This means there is only probability 0.01 that the null hypothesis is true.” Explain clearly why the student’s explanation is wrong.

The most important condition for sound conclusions from statistical inference is that

(a) the data come from a well-designed random sample or randomized experiment

(b) the population distribution be exactly Normal.

(c) the data contain no outliers.

(d) the sample size be no more than 10%of the population size.

(c) the sample size be at least 30.

A blogger claims that U.S. adults drink an average of five 8-ounce glasses of water per day. Skeptical researchers ask a random sample of 24 U.S. adults about their daily water intake. A graph of the data shows a roughly symmetric shape with no outliers. The figure below displays Minitab output for a one-sample t interval for the population mean. Is there convincing evidence at the 10%significance level that the blogger’s claim is incorrect? Use the confidence interval to justify your answer.

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