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.

Name: 10. Recent research has shown that creative people aremore likely to
Uploaded: 2024-03-20T07:06:27.000Z
Channel: Bartleby
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…

Math

Statistics

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

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Perform a statistical analysis/test of hypothesis, showing all the steps in hypothesis testing.
In a study about learning styles, researchers used a group of 64 elementary school students who volunteered to be part of the study. The researchers gave each student a pre-test and based upon the results, they divided them into 32 pairs of similarly scoring students. School administrators then randomly assigned one student from each pair to mathematics instruction online while the other student received in-person instruction in a traditional classroom. At the end of the year, all 64 students received a mathematics assessment, measured on a 100-point scale. The researchers calculated the difference (in person −− online) in the mathematics assessment scores for each pair of students. The 32 differences had a mean of 15 and a standard deviation of 3.9 points. Construct and interpret a 95% confidence interval for the mean difference (in person −− online) in the mathematics assessment scores for all pairs of students like these who learn math either face-to-face or online.
Computer-mediated communication (CMC) is a form of interaction that heavily involves technology (e.g., instant messaging, email). A study was conducted to compare relational intimacy in people interacting via CMC to people meeting face-to-face (FTF). Participants were 48 undergraduate students, of which half were randomly assigned to the CMC group and half assigned to the FTF group. The variable of interest, relational intimacy score, was measured (on a 7-point scale) for each participant after each of three different meeting sessions. Summary statistics for the first meeting session are given here. The researchers hypothesized that, after the first meeting, the mean relational intimacy score for participants in the CMC group would be lower than the mean relational intimacy score for participants in the FTF group. Test the researchers’ hypothesis using α = .10. CMC FTF Number…
Most alpine skiers and snowboarders do not use helmets. Do helmetsreduce the risk of head injuries? A study in Norway compared skiers and snowboarders who suffered head injuries with a control group who were not injured. Of 578 injured subjects, 96 had worn a helmet. Of the 2992 in the control group, 656 wore helmets. Is helmet use less common among skiers and snowboarders who have head injuries?
A story spoiler gives away the ending early. Does having a story spoiled in this way diminish suspense and hurt enjoyment? A study1 investigated this question. For twelve different short stories, the study’s authors created a second version in which a spoiler paragraph at the beginning discussed the story and revealed the outcome. Each version of the twelve stories was read by at least 30 people and rated on a 1 to 10 scale to create an overall rating for the story, with higher ratings indicating greater enjoyment of the story. The ratings are given in Table 1 and stored in StorySpoilers. Stories 1 to 4 were ironic twist stories, stories 5 to 8 were mysteries, and stories 9 to 12 were literary stories. Here we measure the size of the effect on mean rating. Find a 95% confidence interval for the difference in mean enjoyment rating between stories with a spoiler and stories without.Click here for the dataset associated with this question.Round your answers to three decimal places.The 95%…
Sierra College students enrolled in an online Elementary Statistics course were asked to participate in an anonymous onlne survey. The survey asked the students "Which type of device will you primarily use to access your online course in Canvas?". Of the 152 students who answered this question, 20 responded "a desktop computer", 121 responded "a laptop computer", 6 responded "a smartphone", and 5 responded "a tablet". The Sierra College Mathematics Department believes that less than 5% of students enrolled in an online Elementary Statistics course primarily uses a smartphone to access their online course in Canvas. Use the data collected in the survey to conduct a hypothesis testing procedure to test this belief. What conclusion should be reached according to the results of this hypothesis test?
During the pandemic, an HR manager randomly assigned 6 employees to work from homeand the other 6 employees to work from the office as usual. After three months, all 12employees’ job performance was tested. Scores for those working from home were 10, 12,14, 13, 11, 12, and scores for those who worked from the office were 8, 6, 10, 8, 9, and 7.The HR manager then compares the scores from both groups to determine which groupscores significantly higher.Based on the experiment above,a) Carry out a t-test using five steps of hypothesis testing with the 0.05 level ofsignificance at one-tailed. Explain your finding.b) Sketch the t-distribution involved.
Pls help ASAP. Pls show all work.
In a study examining the effect of humor on interpersonal attractions, McGee and Shevlin (2009) foundthat a man’s sense of humor had a significant effect onhow he was perceived by women. In the study, femalecollege students were given brief descriptions of a potential romantic partner and then rated the attractivenessof the male on a scale from 1 (low) to 7 (high). Thefictitious male was described positively as being single,ambitious, and having good job prospects. In one condition, the description also said that he had a great senseof humor. The results showed that the description wasrated significantly higher when “a sense of humor” wasincluded. To further examine this effect, a researcherselected a sample of n = 16 college males and askedthem to read a brief description of a female and thenrate the attractiveness of the woman in the description.The description had been used in previous research butwas modified by adding a statement describing a goodsense of humor. Based on the…