10. Recent research has shown that creative people aremore likely to cheat than their less-creative counter-parts (Gino & Ariely, 2011). Participants in the studyfirst completed creativity assessment questionnairesand then returned to the lab several days later for aseries of tasks. One task was a multiple-choice generalknowledge test for which the participants circled theiranswers on the test sheet. Afterward, they were askedto transfer their answers to a bubble sheet for computerscoring. However, the experimenter admitted that thewrong bubble sheet had been copied so that the correctanswers were still faintly visible. Thus, the participantshad an opportunity to cheat and inflate their test scores.Higher scores were valuable because participants werepaid based on the number of correct answers. Howev-er, the researchers had secretly coded the original testsand the bubble sheets so that they could measure thedegree of cheating for each participant. Assuming thatthe participants were divided into two groups based ontheir creativity scores, the following data are similar tothe cheating scores obtained in the study.High-CreativityParticipantsLow-CreativityParticipantsn = 27n = 27М — 7.41SS = 749.5М 3 4.78%3DSS = 830a. Use a one-tailed test with a = .05 to determinewhether these data are sufficient to conclude thathigh-creativity people are more likely to cheat thanpeople with lower levels of creativity.

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Description: 10. Recent research has shown that creative people aremore likely to cheat than their less-creative counter-parts (Gino & Ariely, 2011). Participants in the studyfirst completed creativity assessment questionnairesand then returned to the lab severa

Null hypothesis H0- There is no significant difference in mean cheating scores of high creativity…

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10. Recent research has shown that creative people are more likely to cheat than their less-creative counter- parts (Gino & Ariely, 2011). Participants in the study first completed creativity assessment questionnaires and then returned to the lab several days later for a series of tasks. One task was a multiple-choice general knowledge test for which the participants circled their answers on the test sheet. Afterward, they were asked to transfer their answers to a bubble sheet for computer scoring. However, the experimenter admitted that the wrong bubble sheet had been copied so that the correct

10. Recent research has shown that creative people are more likely to cheat than their less-creative counter- parts (Gino & Ariely, 2011). Participants in the study first completed creativity assessment questionnaires and then returned to the lab several days later for a series of tasks. One task was a multiple-choice general knowledge test for which the participants circled their answers on the test sheet. Afterward, they were asked to transfer their answers to a bubble sheet for computer scoring. However, the experimenter admitted that the wrong bubble sheet had been copied so that the correct

MATLAB: An Introduction with Applications

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Concept explainers

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.

Topic Video

Question

10. Recent research has shown that creative people are
more likely to cheat than their less-creative counter-
parts (Gino & Ariely, 2011). Participants in the study
first completed creativity assessment questionnaires
and then returned to the lab several days later for a
series of tasks. One task was a multiple-choice general
knowledge test for which the participants circled their
answers on the test sheet. Afterward, they were asked
to transfer their answers to a bubble sheet for computer
scoring. However, the experimenter admitted that the
wrong bubble sheet had been copied so that the correct
answers were still faintly visible. Thus, the participants
had an opportunity to cheat and inflate their test scores.
Higher scores were valuable because participants were
paid based on the number of correct answers. Howev-
er, the researchers had secretly coded the original tests
and the bubble sheets so that they could measure the
degree of cheating for each participant. Assuming that
the participants were divided into two groups based on
their creativity scores, the following data are similar to
the cheating scores obtained in the study.
High-Creativity
Participants
Low-Creativity
Participants
n = 27
n = 27
М — 7.41
SS = 749.5
М 3 4.78
%3D
SS = 830
a. Use a one-tailed test with a = .05 to determine
whether these data are sufficient to conclude that
high-creativity people are more likely to cheat than
people with lower levels of creativity.

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