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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’s 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 “Blanking Out on Tests.”

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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Most popular questions from this chapter

In Exercises 5–20, assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. (Note: Answers in Appendix D include technology answers based on Formula 9-1 along with “Table” answers based on Table A-3 with df equal to the smaller of n1−1 and n2−1.)

Coke and Pepsi Data Set 26 “Cola Weights and Volumes” in Appendix B includes volumes of the contents of cans of regular Coke (n = 36, x = 12.19 oz, s = 0.11 oz) and volumes of the contents of cans of regular Pepsi (n = 36, x = 12.29 oz, s = 0.09 oz).

a. Use a 0.05 significance level to test the claim that cans of regular Coke and regular Pepsi have the same mean volume.

b. Construct the confidence interval appropriate for the hypothesis test in part (a).

c. What do you conclude? Does there appear to be a difference? Is there practical significance?

In Exercises 5–20, assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. (Note: Answers in Appendix D include technology answers based on Formula 9-1 along with “Table” answers based on Table A-3 with df equal to the smaller of n1−1 and n2−1.)Color and Cognition Researchers from the University of British Columbia conducted a study to investigate the effects of color on cognitive tasks. Words were displayed on a computer screen with background colors of red and blue. Results from scores on a test of word recall are given below. Higher scores correspond to greater word recall.

a. Use a 0.05 significance level to test the claim that the samples are from populations with the same mean.

b. Construct a confidence interval appropriate for the hypothesis test in part (a). What is it about the confidence interval that causes us to reach the same conclusion from part (a)?

c. Does the background color appear to have an effect on word recall scores? If so, which color appears to be associated with higher word memory recall scores?

Red Background n = 35, x = 15.89, s = 5.90

Blue Background n = 36, x = 12.31, s = 5.48

Independent and Dependent Samples Which of the following involve independent samples?

a. Data Set 14 “Oscar Winner Age” in Appendix B includes pairs of ages of actresses and actors at the times that they won Oscars for Best Actress and Best Actor categories. The pair of ages of the winners is listed for each year, and each pair consists of ages matched according to the year that the Oscars were won.

b. Data Set 15 “Presidents” in Appendix B includes heights of elected presidents along with the heights of their main opponents. The pair of heights is listed for each election.

c. Data Set 26 “Cola Weights and Volumes” in Appendix B includes the volumes of the contents in 36 cans of regular Coke and the volumes of the contents in 36 cans of regular Pepsi.

Braking Reaction Times: Normal? The accompanying normal quantile plot is obtained by using the braking reaction times of females listed in Exercise 6. Interpret this graph.

Denomination Effect In the article “The Denomination Effect” by Priya Raghubir and Joydeep Srivastava, Journal of Consumer Research, Vol. 36, researchers reported results from studies conducted to determine whether people have different spending characteristics when they have larger bills, such as a \(20 bill, instead of smaller bills, such as twenty \)1 bills. In one trial, 89 undergraduate business students from two different colleges were randomly assigned to two different groups. In the “dollar bill” group, 46 subjects were given dollar bills; the “quarter” group consisted of 43 subjects given quarters. All subjects from both groups were given a choice of keeping the money or buying gum or mints. The article includes the claim that “money in a large denomination is less likely to be spent relative to an equivalent amount in smaller denominations.” Test that claim using a 0.05 significance level with the following sample data from the study.

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