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True/False Characterize each of the following statements as being true or false.

a. In a hypothesis test, a very high P-value indicates strong support of the alternative hypothesis.

b. The Student t distribution can be used to test a claim about a population mean whenever the sample data are randomly selected from a normally distributed population.

c. When using a x2 distribution to test a claim about a population standard deviation, there is a very loose requirement that the sample data are from a population having a normal distribution.

d. When conducting a hypothesis test about the claimed proportion of adults who have current passports, the problems with a convenience sample can be overcome by using a larger sample size.

e. When repeating the same hypothesis test with different random samples of the same size, the conclusions will all be the same.

Short Answer

Expert verified

a. The statement is false.

b. The statement is true.

c. The statement is false.

d. The statement is false.

e. The statement is false.

Step by step solution

01

State the p-value approach in the hypothesis test

a.

The p-value is a probability of getting the values as extreme as the test statistic.

The decision rule is expressed below.

  • If the p-value is lesser than the significance level, the null hypothesis will be rejected.
  • If the p-value is greater than the significance level, the null hypothesis will be failed to be rejected.

Thus, the high p-value will be supportive of the null hypothesis.

Therefore, the statement will be false.

02

State the requirements for the student’s t-distribution test

b.

The requirements for the student’s t-distribution test for testing the claim of the population mean are stated below.

  • The population is normally distributed, or the sample is larger than 30.
  • The sample is a simple random sample.
  • The population standard deviation is unknown.

Therefore, the statement will be true.

03

State the requirements for the chi-square test for the standard deviation 

c.

The requirements for the chi-square test for the standard deviation are as follows.

  • The population is normally distributed, which is stricter than the other tests.
  • The sample is a simple random sample.

Therefore, the statement is false.

04

State the requirements for the test for proportions

d.

Simple random samples are collected such that each sample is independent of another.

On the other hand, in convenience sampling, the samples are collected as per the convenience of investigators. Thus, the samples are not random selections.

Thus, a larger sample will not solve the problem of applying the test.

Therefore, the statement is false.

05

Analyze the results for the hypothesis test

e.

Different samples of the same sizes are collected for the hypothesis test of the same claim.

Different samples result in varied statistics and hence, varying results of the test statistics and hence, the decision.

Thus, the statement is false.

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Most popular questions from this chapter

P-Values. In Exercises 17–20, do the following:

a. Identify the hypothesis test as being two-tailed, left-tailed, or right-tailed.

b. Find the P-value. (See Figure 8-3 on page 364.)

c. Using a significance level of α= 0.05, should we reject or should we fail to reject ?

The test statistic of z = 1.00 is obtained when testing the claim that p>0.3.

Testing Claims About Proportions. In Exercises 9–32, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim. Use the P-value method unless your instructor specifies otherwise. Use the normal distribution as an approximation to the binomial distribution, as described in Part 1 of this section.

Lie Detectors Trials in an experiment with a polygraph yield 98 results that include 24 cases of wrong results and 74 cases of correct results (based on data from experiments conducted by researchers Charles R. Honts of Boise State University and Gordon H. Barland of the Department of Defense Polygraph Institute). Use a 0.05 significance level to test the claim that such polygraph results are correct less than 80% of the time. Based on the results, should polygraph test results be prohibited as evidence in trials?

Testing Claims About Proportions. In Exercises 9–32, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim. Use the P-value method unless your instructor specifies otherwise. Use the normal distribution as an approximation to the binomial distribution, as described in Part 1 of this section.

Tennis Instant Replay The Hawk-Eye electronic system is used in tennis for displaying an instant replay that shows whether a ball is in bounds or out of bounds so players can challenge calls made by referees. In a recent U.S. Open, singles players made 879 challenges and 231 of them were successful, with the call overturned. Use a 0.01 significance level to test the claim that fewer than 1/ 3 of the challenges are successful. What do the results suggest about the ability of players to see calls better than referees?

Technology. In Exercises 9–12, test the given claim by using the display provided from technology. Use a 0.05 significance level. Identify the null and alternative hypotheses, test statistic, P-value (or range of P-values), or critical value(s), and state the final conclusion that addresses the original claim.

Body Temperatures Data Set 3 “Body Temperatures” in Appendix B includes 93 body temperatures measured at 12 ²³ on day 1 of a study, and the accompanying XLSTAT display results from using those data to test the claim that the mean body temperature is equal to 98.6°F. Conduct the hypothesis test using these results.

In Exercises 13–16, refer to the exercise identified and find the value of the test statistic. (Refer to Table 8-2 on page 362 to select the correct expression for evaluating the test statistic.)

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