Statistics: The Art and Science of Learning from Data (4th Edition)
Statistics: The Art and Science of Learning from Data (4th Edition)
4th Edition
ISBN: 9780321997838
Author: Alan Agresti, Christine A. Franklin, Bernhard Klingenberg
Publisher: PEARSON
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Chapter 15.2, Problem 12PB

Sign lest for GRR scores Consider Example 8, for which the changes in the writing portion GRE scores for the first three people who attended a training workshop were 0.5, –0.5, and 1.5. Show how to use the sign test to lest that the probability that the difference is positive equals 0.50 against the alternative hypothesis that it is greater than 0.50.

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A common way for two people to settle a frivolous dispute is to play a game of rock-paper-scissors. In this game, each person simultaneously displays a hand signal to indicate a rock, a piece of paper, or a pair of scissors. Rock beats scissors, scissors beats paper, and paper beats rock. If both players select the same hand signal, the game results in a tie. Two roommates, roommate A and roommate B, are expecting company and are arguing over who should have to wash the dishes before the company arrives. Roommate A suggests a game of rock-paper-scissors to settle the dispute.      Consider the game of rock-paper-scissors to be an experiment. In the long run, roommate A chooses rock 21% of the time, and roommate B chooses rock 61% of the time; roommate A selects paper 39% of the time, and roommate B selects paper 21% of the time; roommate A chooses scissors 40% of the time, and roommate B chooses scissors 18% of the time. (These choices are made randomly and independently of each…
A qualifying exam for a graduate school program has a math section and a verbal section. Students receive a score of 1, 2, or 3 on each section. Define X as a student’s score on the math section and Y as a student’s score on the verbal section. Test scores vary according to the following bivariate probability distribution.       y       1 2 3   1 0.22 0.33 0.05 x 2 0.00 0.08 0.20   3 0.07 0.05 0.00   μXX =    , and μYY =       σXX =    , and σYY =       The covariance of X and Y is    . The coefficient of correlation is    . The variables X and Y    independent.   The expected value of X + Y is    , and the variance of X + Y is    .   To be accepted to a particular graduate school program, a student must have a combined score of 4 on the qualifying exam. What is the probability that a randomly selected exam taker qualifies for the program? 0.45   0.47   0.46   0.33     Chebysheff’s Theorem states that the…
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