Essentials of Statistics for the Behavioral Sciences
Essentials of Statistics for the Behavioral Sciences
8th Edition
ISBN: 9781133956570
Author: Frederick J Gravetter, Larry B. Wallnau
Publisher: Cengage Learning
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Chapter 15.5, Problem 1LC
  1. 1. A researcher completes a chi-square test for independence and obtains x2 = 6.2 for a sample of n = 40 participants.
  2. 2. If the frequency data formed a 2 X 2 matrix, what is the phi-coefficient for the test?
  3. 3. If the frequency data formed a 3 X 3 matrix, what is Cramer's V for the test?
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A researcher completes a chi-square test for independence and obtains X2 =6.2 for a sample of n=40 participants. a. If the frequency data formed a 2 X 2 matrix, what is the phi-coefficient for the test? b. If the frequency data formed a 3 X 3 matrix, what is the Cramer’s phi-coefficient for the test? c. Explain why a very small value for an expected frequency can distort the results of chi-square test.
Resistors labeled as 100 Ω are purchased from two different vendors. The specification for this type of resistor is that its actual resistance be within 5% of its labeled resistance. In a sample of 180 resistors from vendor A, 150 of them met the specification. In a sample of 270 resistors purchased from vendor B, 233 of them met the specification. Vendor A is the current supplier, but if the data demonstrate convincingly that a greater proportion of the resistors from vendor B meet the specification, a change will be made. a) State the appropriate null and alternate hypotheses. b) Find the P-value. c) Should a change be made?
Consider the Cobb- Douglas production function, Q = aK^bL^c ; b and ca) Can be estimated using OLS on the equation Q = a +bK+cL b) Can be calculated from the covariances of K and L with Qc) cannot be estimated using OLS  d) can be estimated using OLS on the equation log(Q) =log(a) +b log(K) +b log(L)

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Essentials of Statistics for the Behavioral Sciences

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