a. Is there a significant difference in reported perfor-Dimly-Lit RoomWell-Lit Room6.7.118.1310106.24. Research has shown that people are more likely toshow dishonest and self-interested behaviors in dark-ness than in a well-lit environment (Zhong, Bohns,& Gino, 2010). In one experiment, participants weregiven a set of 20 puzzles and were paid $0.50 foreach one solved in a 5-minute period. However, theparticipants reported their own performance andthere was no obvious method for checking their hon-esty. Thus, the task provided a clear opportunity tocheat and receive undeserved money. One group ofparticipants was tested in a room with dimmed light-ing and a second group was tested in a well-lit room.The reported number of solved puzzles was recordedor each individual. The following data representesults similar to those obtained in the study.11815121410mance between the two conditions? Use a twotailed test with a = .01.b. Compute Cohen's d to estimate the size of the%3Dtreatment effect.

First we need to calculate the mean and standard deviation for both the samples For Well Lit-room…

Answered: Dimiy-Lit ROOM Well-Lit Room 9. 7. 11…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A TA in statistics thinks that the format of the conferences and the timing of the assignments may affect students' assignment marks (out of 10). He decided to design three conferences with a different format: (1) with lecturing, (2) with demonstrating problems, and (3) with involving students in active problem-solving. Twelve students attended one of the conferences (four in each format) and asked to submit their assignments at week 3. Another twelve students attended one of the conferences but asked to submit their assignments at week 5. The data are tabled below: Assignment Week 3 Week 5 Lecture 6,7,5,7 5,5,4,5 Format Demo problems 7,8,8,9 6,7,7,6 Active problems 9,10,10,10 8,9,9,10 Note: ΣΣΣx=1385 Perform the ANOVA test and table the results, stating all critical values. State and explain what should be the follow-up analysis after the overall F-test if any (NO calculation but just explain).
A warehouse manager wants to know if there is an association between the shift worked and being on time for work. To investigate, he selects a random sample of 70 workers and classifies each one according to the shift they worked most recently and whether they were on time for work. He was unable to classify a substantial number of people as being on time, so he classified those individuals as unknown. The data are displayed in the table. The manager would like to know if these data provide convincing evidence of an association between the shift worked and being on time in the large population of all workers at this warehouse. The random and 10% conditions are met. Is the Large Counts condition met? Yes, the smallest expected count is 5, so all expected counts are at least 5. Yes, the smallest expected count is 8.54, so all expected counts are at least 5. No, the smallest expected count is 2.56, so the expected counts are not all at least 5. No, the smallest expected count is…
The effects of social skill training on a 29 year-old mentally retarded male adult were explored. The subject listened to typical social situations (such as getting a compliment or saying thank you) on audiotape and discussed the situations with a therapist. The subject's positive social verbal interactions were counted before the training, at three times during the training period, and at three times after the training had been completed. All counts were taken by observing the subject at a evening recreation time in the subject's group home. Results show that positive interactions increased during the training period but then rapidly decreased after training had stopped. Independent variable (construct): Levels (operational def): Organismic/Manipulated: B/W or W/I: Dependent variable (Construct & Operational def): Type of Hypothesis: Type of Statistic: Research Design:
These 2 questions go hand to hand
Does the test result Provide sufficient evidence that light alcohol consumption has a negative impact on the driving performance of a sleep deprived driver. Why or why not
Chapter 9. 6)A poll surveyed 341 video gamers, and 81 of them said that they prefer playing games on a console, rather than a computer or hand-held device. An executive at a game console manufacturing company claims that the proportion of gamers who prefer consoles differs from 26 %. Does the poll provide convincing evidence that the claim is true? Use the 0.05 level of significance and the P-value method. 7
Xu and Garcia (2008)conducted a research study demonstrating that 8-month-old infants appear to recognize which samples are likely to be obtained from a population and which are not. In the study, the infants watched as a sample of n = 5 ping-pong balls was selected from a large box. In one condition, the sample consisted of 1 red ball and 4 white balls. After the sample was selected, the front panel of the box was removed to reveal the contents. In the expected condition, the box contained primarily white balls like the sample, and the infants looked at it for an average of M = 7.5 seconds. In the unexpected condition, the box had primarily red balls, unlike the sample, and the infants looked at it for M = 9.9. The researchers interpreted the results as demonstrating that the infants found the unexpected result surprising and, therefore, more interesting than the expected result. Assuming that the standard error for both means is σM = 1 second, draw a bar graph showing the two sample…
Based on these tables, would you accept or reject the hypothesis that individuals in bad neighborhoods commit more crime?
The personality characteristics of business leaders (e.g., CEOS) are related to the operations of the businesses that they lead (Oreg & Berson, 2018). Traits like openness to experience are related to positive financial outcomes and other traits are related to negative financial outcomes for their businesses. Suppose that a board of directors is interested in evaluating the personality of their leadership. Among a sample of n = 16 managers, the sample mean of the openness to experiences dimension of personality was M = 4.50. Assuming that u = 4.24 and o = 1.05 (Cobb-Clark & Schurer, 2012), use a two-tailed hypothesis test with a = .05 to test the hypothesis that this company's business leaders' openness to experience is different from the population. Standard Normal Distribution Mean - 0.0 Standard Deviation 1.0 .7198 .1401 .1401 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 -1.08 1.08 Step 1. Ho: ; H;: a = .05. Step 2. The critical region consists of Step 3. For these data the standard error is and…
Mood variation is related to photoperiod in some people, and the likelihood of depression increases in the winter months. As a result, people often assume that suicide rates increase in winter. A study in Finland (Valtonen et al. 2006) divided the year 1997 into equal halves and compared the number of suicides in “winter” (24 September to 19 March) and “summer” (remainder of year). Out of a total of 1636 suicides, 766 were in winter and 870 were in the summer. Based on these data, estimate the proportion of suicides that occurred in winter, assuming that the suicides were independent. Are the data compatible with a greater suicide rate in winter than summer, based on a 95% confidence interval?
Craik & Tulving ran an experiment to determine how depth of processing during study affects memory. In the study phase, 12 participants made judgments about words. In one block of trials (the visual condition) they indicated whether the words were written in upper case or lower case; in another block of trials (the auditory condition) they indicated whether the words contained an "ee" sound; in another block of trials (the meaning condition) they indicated whether the meaning of the words was pleasant or unpleasant. There were 12 words in each block. After completing the study phase, participants were asked to write down all the words they could remember. Here are the data: Mean Visual 3.5 Auditory 4.5 Meaning 6.0 Standard Deviation 1.5 1.6 1.9 Compared to the within-subjects design, the between-subjects design (select all that apply) Oa. Would have less statistical power O b. Would be less prone to experimenter bias O c. Would be less prone to order effects Od. Would have better…

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