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Finding Lower Critical F Values For hypothesis tests that are two-tailed, the methods of Part 1 require that we need to find only the upper critical value. Let鈥檚 denote the upper critical value by \({F_R}\), where the subscript indicates the critical value for the right tail. The lower critical value \({F_L}\)(for the left tail) can be found as follows: (1) Interchange the degrees of freedom used for finding \({F_R}\), then (2) using the degrees of freedom found in Step 1, find the F value from Table A-5; (3) take the reciprocal of the F value found in Step 2, and the result is \({F_L}\). Find the critical values \({F_L}\)and \({F_R}\) for Exercise 16 鈥淏lanking Out on Tests.鈥

Short Answer

Expert verified

The value of\({F_R}\)is equal to 2.2878.

The value of \({F_L}\) is equal to 0.4745.

Step by step solution

01

Given information

Two samples are considered showing the anxiety scores dueto the arrangement of questions on a test paper. One sample represents anxiety scores due to the arrangement of questions from easy to difficult. Another sample representsanxiety scores due to the arrangement of questions from difficult to easy.

The lower and the upper critical values need to be determined.

02

Upper critical value

The numerator degrees of freedom is computed below:

\(\begin{array}{c}{n_1} - 1 = 25 - 1\\ = 24\end{array}\)

The denominator degrees of freedom is computed below:

\(\begin{array}{c}{n_2} - 1 = 16 - 1\\ = 15\end{array}\)

Thus, the degrees of freedom is equal to (24,15)

The upper critical value can be obtained using the F distribution table with numerator degrees of freedom equal to 24 and denominator degrees of freedom equal to 15, and the significance level\(\alpha = 0.05\)for a right-tailed test.

Thus, the value of \({F_R}\) is equal to 2.2878.

03

Obtain the lower critical value by interchanging the degrees of freedom.

The degrees of freedom is obtained by interchanging the numerator degrees of freedom and the denominator degrees of freedom used above.

Referring to the F distribution table, the lower critical value\(\left( {{F_L}} \right)\)can be obtained by taking the reciprocal of the upper critical value with the numerator degrees of freedom equal to 15, the denominator degrees of freedom equal to 24and the significance level\(\alpha = 0.05\)for a right-tailed test.

Thus,\({F_L}\)is equal to:

\(\begin{array}{c}{F_L} = \frac{1}{{{F_{R\left( {15,24;0.05} \right)}}}}\\ = \frac{1}{{2.1077}}\\ = 0.4745\end{array}\)

Therefore, \({F_L}\) is equal to 0.4745.

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Hypothesis Tests and Confidence Intervals for Hemoglobin

a. Exercise 2 includes a confidence interval. If you use the P-value method or the critical value method from Part 1 of this section to test the claim that women and men have the same mean hemoglobin levels, will the hypothesis tests and the confidence interval result in the same conclusion?

b. In general, if you conduct a hypothesis test using the methods of Part 1 of this section, will the P-value method, the critical value method, and the confidence interval method result in the same conclusion?

c. Assume that you want to use a 0.01 significance level to test the claim that the mean haemoglobin level in women is lessthan the mean hemoglobin level in men. What confidence level should be used if you want to test that claim using a confidence interval?

Using Confidence Intervals

a. Assume that we want to use a 0.05 significance level to test the claim that p1 < p2. Which is better: A hypothesis test or a confidence interval?

b. In general, when dealing with inferences for two population proportions, which two of the following are equivalent: confidence interval method; P-value method; critical value method?

c. If we want to use a 0.05 significance level to test the claim that p1 < p2, what confidence level should we use?

d. If we test the claim in part (c) using the sample data in Exercise 1, we get this confidence interval: -0.000508 < p1 - p2 < - 0.000309. What does this confidence interval suggest about the claim?

Testing Claims About Proportions. In Exercises 7鈥22, 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.

Clinical Trials of OxyContin OxyContin (oxycodone) is a drug used to treat pain, butit is well known for its addictiveness and danger. In a clinical trial, among subjects treatedwith OxyContin, 52 developed nausea and 175 did not develop nausea. Among other subjectsgiven placebos, 5 developed nausea and 40 did not develop nausea (based on data from PurduePharma L.P.). Use a 0.05 significance level to test for a difference between the rates of nauseafor those treated with OxyContin and those given a placebo.

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a. Test the claim using a hypothesis test.

b. Test the claim by constructing an appropriate confidence interval.

c. If the significance level is changed to 0.01, does the conclusion change?

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