Which of the following is TRUE about a between-subjects design:O A. Any factor that increases the variance within treatments also increases the likelihood of finding a significant difference betweentreatments.O B. One way to reduce the variance within treatments is to create more homogeneous groups by holding constant a participantcharacteristic such as age or gender.O C. Maximizing the difference between treatments decreases the likelihood of finding significant differences between treatments.O D. All of the above are trueReset SelectionPreviousNextSaveMAR25étvwDOOF11F12F4F6F7F8F9F10&*4

Between subjects design : Independent measure design It requires large number of people for study…

Answered: Which of the following is TRUE about a…

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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Fast-food restaurants may be able to decrease yearly expenses simply by decreasing the size of the paper napkins they provide to patrons. Papel Paper Products is considering pitching the smaller-napkin idea to potential restaurant clients. To determine the receptiveness of different restaurants to the idea, Papel surveyed 400 fast-food establishments chosen at random, and looked at the data according to two variables: type of fast-food restaurant ("burger/sandwich", "Chinese/Mexican", or "other") and attitude toward the smaller-napkin idea ("receptive" or "not receptive.") The data are summarized in the contingency table below. Each of the 6 cells of the table contains three numbers: the first number is the observed cell frequency (f); the second number is the expected cell frequency (f) under the assumption that the two variables type of fast-food restaurant and attitude toward the smaller-napkin idea are not associated; and the third number is the following value. (fo-ƒE)² JE…
Which of the following can increase effect size? Select one: O a. increase the distance between means and increase the sample size O b. decrease the variability and increase the distance between means O c. decrease the variability and increase the sample size
A sociologist studying New York City ethnic groups wants to determine if there is a difference in income for immigrants from four different countries during their first year in the city. She obtained the data in the following table from a random sample of immigrants from these countries (incomes in thousands of dollars). Use a 0.05 level of significance to test the claim that there is no difference in the earnings of immigrants from the four different countries. Country I Country II Country III Country IV 12.3 8.3 20.4 17.3 9.1 17.2 16.5 8.7 10.9 19.2 22.8 14.2 8.8 10.2 5.5 21.4 16.1 19.2 19.3 (b) Find SSTOT, SSBET, and SSW and check that SSTOT = SSBET + SSW. (Round your answers to three decimal places.) SSTOT = SSBET = SSW = Find d.f.BET, d.f.W, MSBET, and MSW. (Round your answer to three decimal places for MSBET and MSW.) dfBET = dfW = MSBET = MSW = Find the value of the sample F statistic. (Round your answer to three decimal…
thanks for attempting my question. would appreciate a quick response and an explanation. thanks Question 1 of 4 Assume that we have 6 manifest variables and 3 factors. The communality of 3 on variable 74 is obtained with the following: 34 O B. Y 34 O D. Y43 Question 3 of 4 Assume we have 6 manifest variables and 3 factors. The proportion of variance in the 2nd manifest variable accounted for by all of the factors can be represented as follows: O A. 22 О в. C. 13 33 Y 63 O D. 2-2; = Y21 +?22+?23
A sociologist is interested in the opinion of Minnesota teachers on the recent labor union law passed by Wisconsin lawmakers. a. What is the experimental unit? b.What is the population? c.What are the variables relevant to this study? Classify them as continuous, discrete, nominal, or ordinal. d. Explain how you would select a sample for this study. Explain pros and cons of your method.
7. Effect size - Cohen's d and r squared An industrial/organizational psychologist has been consulting with a company that runs weekend job-seeking workshops for the unemployed. She collected data on several issues related to these workshops and, after conducting statistical tests, obtained statistically significant findings. She needs to find a way to evaluate effect size so that she can make recommendations to the company. One of the psychologist’s findings is that 18 months after the workshop, a sample of 36 job seekers who received training on resume writing scored an average of 7.3 as measured on a 9-point job-search motivation scale, with a standard deviation of 1.5. The typical job seeker scores 6.1 points. The psychologist finds that the estimated Cohen’s d is , the t statistic is 4.80, and r² is . Using Cohen’s d and Cohen’s guidelines for interpreting the effect size with the estimated Cohen’s d, there is a treatment effect. Using r² and the extension…
3. Can SAT scores predict college performance? Let x be a variable that represents SAT score of a computer science major, and let y be a variable that represents a student’s GPA upon graduation. A random sample of n =15 computer science majors provided their SAT scores and GPAs: x 1232 1070 1086 1287 1130 1048 1121 1095 1135 1208 1333 1160 1186 1243 1261 y 3.52 2.91 2.4 3.47 3.47 2.37 2.4 2.24 3.02 3.32 3.59 2.54 3.19 3.71 3.58 The scatter diagram for the SAT score and GPA is given below: (a) Find the sample correlation coefficient r. Truncate to two decimal places. What does the value tell you about the data? (b) Find the equation of the least squares line . Truncate to four decimal places. What does the slope mean? (c) Find the value of the coefficient of determination . Truncate to two decimal places. What does this number mean? (d) What is the predicted GPA if a computer science major got a…
The Analysis of Variance. A research study compared beer consumed daily between 3 groups with 3 observations each. Group1 was UCB, Group 2 UCSD, and Group 3 UCI. Determine if there is a significant difference among the groups 5% level. Group1: UCB Group 2: UCSD Group 3: UCI The Results of this study are in the following table: Group1 Group2 Group3 Sample 3, 4, 5 3.2, 4, 4.2 3, 4, 3.3 Mean 4.0 3.7 3.4 S^2 4.4 5.2 6.1 null and alternative hypotheses are Null hypothesis Ho : There is a significant difference among the treatment group means Alternative Hypothesis Ha : At least one group mean is different from other group means the average mean due to treatments are…
A Hollywood studio believes that a movie that is considered a drama will draw a larger crowd on average than a movie that is considered a comedy. To test this theory, the studio randomly selects several movies that are classified as dramas and several movies that are classified as comedies and determines the box office revenue for each movie. The results of the survey are as follows. Assume that the population variances are approximately equal. Box Office Revenues (Millions of Dollars) n x S Drama 14 150 50 Comedy 16 120 10 Copy Data Calculate a 99 % confidence interval for the difference in mean revenue at the box office for drama and comedy movies. Let dramas be Population 1 and comedies be Population 2. Write your answer using interval notation and round the interval endpoints to two decimal places.
Roediger and Karpicke (2006) investigated whether the test-enhanced learning effect (the demonstration that repeated testing improves memory for material) was due merely to repeated exposure to material. They randomly assigned participants to one of two conditions(study-study or study-test) and to one of three interval conditions (final test at a delay of 5 minutes, 2 days, or 1 week). The dependent variable was the proportion of idea units recalled for an encyclopedia. How should this be labeled? a. 4x2 between-groups ANOVA b. 2x2 within-groups ANOVA c. 2x3 within-groups ANOVA d. 2x3 between-groups ANOVA
▾ Part 1 of 4 A beverage company has two bottling plants in different parts of the world. To insure uniformity in their product, the variances of the weights of the bottles at the two plants should be equal. But Parvez, the company's vice president of quality assurance, suspects that the variance at bottling plant A is less than the variance at bottling plant B. To test his suspicions, Parvez samples 34 bottles from bottling plant A and 34 bottles from bottling plant B, with the following results (in ounces): Bottling Plant A: 12.4, 12.5, 12, 13.3, 11.6, 11.9, 12.7, 13.1, 14.1, 12.4, 12, 12.4, 12.9, 12.2, 12.6, 12.7, 12.3, 12.5, 12.7, 12.7, 12.8, 12.8, 13.6, 11.4, 12.4, 12.5, 13.1, 12.6, 13.1, 12.6, 12.2, 12.9, 12.7, 13.5 Bottling Plant B: 12.1, 12.3, 12.2, 12.2, 12.4, 12.2, 12.2, 12.5, 12.4, 13.1, 12.2, 12.6, 12.1, 11.9, 13.2, 11.2, 12.9, 13.1, 11.6, 13.5, 12, 12.3, 12.4, 13, 12.9, 12.9, 12.4, 13.2, 12.5, 12.9, 13, 13.1, 12.3, 11.6 Perform a hypothesis test using a 7% level of…
▾ Part 1 of 4 A pharmaceutical company claims their new diabetes medication results in less variance in a patient's glucose level than if the patient were on no medication at all. An endocrinologist wishes to test this claim. She divides participants randomly into two groups. Group A consists of 20 diabetics who received the medication; group B consists of 26 diabetics who received a placebo. After two weeks, the blood sugar level of each patient in each group was measured with the following results (in mg/dL): Group A: 77.8, 229.4, 199.9, 110.1, 180.2, 116.1, 139.7, 171.1, 37.4, 158.1, 88.4, 195.5, 246.1, 142.4, 178.1, 105.5, 179.6, 146.1, 78.8, 123.7 Group B: 124.5, 130.1, 136, 162.8, 113.4, 72.8, 142.6, 50.3, 179.8, 197, 230, 194.3, 171, 109.3, 114.4, 107.5, 114.7, 195.3, 127.7, 126.4, 85.6, 166.7, 182.3, 113.5, 216.7, 162.8 Perform a hypothesis test using a 6% level of significance to test the pharmaceutical company's claim. Step 1: State the null and alternative hypotheses. Ho:…

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