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Interpreting Power For the sample data in Example 1 鈥淎dult Sleep鈥 from this section, Minitab and StatCrunch show that the hypothesis test has power of 0.4943 of supporting the claim that <7 hours of sleep when the actual population mean is 6.0 hours of sleep. Interpret this value of the power, then identify the value of and interpret that value. (For the t test in this section, a 鈥渘oncentrality parameter鈥 makes calculations of power much more complicated than the process described in Section 8-1, so software is recommended for power calculations.)

Short Answer

Expert verified

If the true population mean sleep time is equal to 6.0 hours, there is a 49.43% chance of making the correct conclusion of rejecting the false null hypothesis/supporting the stated claim.

The value of is equal to 0.5057.

If the true population mean sleep time is equal to 6.0 hours, there is a 50.57% chance of making the incorrect conclusion of failing to reject the false null hypothesis/rejecting the stated claim.

Step by step solution

01

Given information

A sample of 12 adults is randomly selected. The actual population鈥檚 mean sleep time is equal to 6.0 hours. It is claimed that the mean sleep time is less than 7 hours.

02

Hypotheses

The appropriate hypotheses for testing the given claim are written as follows:

Null hypothesis: The mean sleep time is equal to 7.0 hours.

H0:=7

Alternative Hypothesis: The mean sleep time is less than 7.0 hours.

H0:<7

The test is left-tailed.

03

Power of the test

The power of the test refers to the probability of rejecting the null hypothesis when it is actually false. In simple words, the value of the power of the test explains the probability of making the correct conclusion of the claim.

Here, the value of the power of the test is equal to 0.4943.

The actual population鈥檚 mean sleep time is equal to 6.0 hours. It is claimed that the mean sleep time is less than 7 hours.

Thus, it means that there is a 49.43% probability of making the correct conclusion that the mean sleep time is less than 7 hours (rejecting the false null hypothesis) when the population鈥檚 true mean sleep time is equal to 6.0 hours.

04

Value of  β

The value of is computed using the following formula:

Power=1-=1-Power

Therefore, the value of is equal to:

=1-Power=1-0.4943=0.5057

Thus, the value of is equal to 0.5057.

05

Interpretation of the value of  β

The value of is the value of the Type II error which is the probability of failing to reject the null hypothesis when it is actually false.

In simple words, refers to the probability of making an incorrect conclusion about the stated claim.

For the given claim, the value ofrole="math" localid="1649069586410" represents the probability of rejecting the claim that the mean sleep time is less than 7 hours when the true population鈥檚 mean sleep time is actually equal to 6.0 hours.

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Most popular questions from this chapter

Calculating Power Consider a hypothesis test of the claim that the Ericsson method of gender selection is effective in increasing the likelihood of having a baby girl, so that the claim is p>0.5. Assume that a significance level of = 0.05 is used, and the sample is a simple random sample of size n = 64.

a. Assuming that the true population proportion is 0.65, find the power of the test, which is the probability of rejecting the null hypothesis when it is false. (Hint: With a 0.05 significance level, the critical value is z = 1.645, so any test statistic in the right tail of the accompanying top graph is in the rejection region where the claim is supported. Find the sample proportion in the top graph, and use it to find the power shown in the bottom graph.)

b. Explain why the green-shaded region of the bottom graph represents the power of the test.

Cans of coke for the sample data from exercise 1, we get 鈥淧-value<0.01鈥 when testing the claim that the new filling process results in volumes with the same standard deviation of 0.115 oz.

  1. What should we conclude about the null hypothesis?
  2. What should we conclude about the original claims?
  3. What do these results suggest about the new filling process?

Finding P-values. In Exercises 5鈥8, either use technology to find the P-value or use Table A-3 to find a range of values for the P-value.

Airport Data Speeds: The claim that for Verizon data speeds at airports, the mean. The sample size is and the test statistic is

t =-1.625 .

Testing Claims About Proportions. In Exercises 9鈥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.

Eliquis The drug Eliquis (apixaban) is used to help prevent blood clots in certain patients. In clinical trials, among 5924 patients treated with Eliquis, 153 developed the adverse reaction of nausea (based on data from Bristol-Myers Squibb Co.). Use a 0.05 significance level to test the claim that 3% of Eliquis users develop nausea. Does nausea appear to be a problematic adverse reaction?

Using Technology. In Exercises 5鈥8, identify the indicated values or interpret the given display. Use the normal distribution as an approximation to the binomial distribution, as described in Part 1 of this section. Use = 0.05 significance level and answer the following:

a. Is the test two-tailed, left-tailed, or right-tailed?

b. What is the test statistic?

c. What is the P-value?

d. What is the null hypothesis, and what do you conclude about it?

e. What is the final conclusion?

Adverse Reactions to Drug The drug Lipitor (atorvastatin) is used to treat high cholesterol. In a clinical trial of Lipitor, 47 of 863 treated subjects experienced headaches (based on data from Pfizer). The accompanying TI@83/84 Plus calculator display shows results from a test of the claim that fewer than 10% of treated subjects experience headaches.

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