**Understanding Repeated-Measures Studies**Participants enter a research study with unique characteristics that produce different scores from one person to another. For an independent-measures study, these individual differences can cause problems. How can these problems be eliminated or reduced with a repeated-measures study? Consider the following points:- **Consistent Samples**: In a repeated-measures study, both samples consist of the same individuals. This approach eliminates systematic differences between the two samples, which might otherwise bias the results.- **No Need for Normal Distribution**: Conducting a repeated-measures study eliminates the necessity for the population distribution of difference scores to be normal.- **Reduced Variance**: Individual differences do not add to the variance of the scores in a repeated-measures study, as the same participants are used across all treatment conditions.- **Minimized Extraneous Changes**: Repeated-measures studies help in eliminating extraneous changes to the individuals in the sample over time, ensuring more reliable results.

Answered: Participants enter a research study…

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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Answer the subquestions for the sample problem below
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…
You may need to use the appropriate technology to answer this question. A certain manufacturer is a producer of aluminum components for the avionics and automotive industries. At its plant, an engineer has conducted a quality-control test in which aluminum coils produced in all three shifts were inspected. The study was designed to determine if the population proportion of good parts was the same for all three shifts. Sample data follow. Production Shift Quality First Second Third Good 282 364 172 Defective 18 36 28 (1) Using a 0.05 level of significance, conduct a hypothesis test to determine if the population proportion of good parts is the same for all three shifts. State the null and alternative hypotheses. A) H0: p1 = p2 = p3 Ha: Not all population proportions are equal. B) H0: p1 ≠ p2 ≠ p3 Ha: All population proportions are equal. C) H0: At least two population proportions are equal. Ha: p1 ≠ p2 ≠ p3 D) H0: Not all population proportions are equal. Ha: p1 =…
Do you think that by choosing the statistical analysis first, and then deciding upon what kind of research plan (i.e., so that the data will suit the analysis) could bias the entire research enterprise?
Education influences attitude and lifestyle. Differences in education are a big factor in the "generation gap." Is the younger generation really better educated? Large surveys of people age 65 and older were taken in n1 = 38 U.S. cities. The sample mean for these cities showed that x1 = 15.2% of the older adults had attended college. Large surveys of young adults (age 25 - 34) were taken in n2 = 37 U.S. cities. The sample mean for these cities showed that x2 = 18.1% of the young adults had attended college. From previous studies, it is known that ?1 = 6.4% and ?2 = 4.8%. Does this information indicate that the population mean percentage of young adults who attended college is higher? Use ? = 0.05. (c) Find (or estimate) the P-value. (Round your answer to four decimal places.) A random sample of n1 = 12 winter days in Denver gave a sample mean pollution index x1 = 43. Previous studies show that ?1 = 15. For Englewood (a suburb of Denver), a random sample of n2 = 16 winter days gave a…
35. Statistics students in Oxnard College sampled 10 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (xx) Cost(yy) 757 134.55 538 106.7 782 142.3 461 83.15 597 116.55 372 74.8 328 75.2 480 92 978 154.7 261 58.15 A student calculates a linear modely = x + . (Please show your answers to two decimal places)Use the model to estimate the cost when number of pages is 849.Cost =$ (Please show your answer to 2 decimal places.)
5.Stocks and Mutual Fund Ownership It has been found that   51.4% of U.S. households own stocks and mutual funds. A random sample of   300 heads of households indicated that 178 owned some type of stock. At what level of significance would you conclude that this was a significant difference? Use the   P-value method. Assume the variable normally distributed. Use a graphing calculator. Find the P-value. At what level of significance is this a significant difference?
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) Work this problem manually (by hand) using the procedures and formulas for ANOVA to check if the Population Means for flying time before major maintenance is required are the same for the three types of aircraft. To help you, Sample Means and Sample Variances have been calculated below for you: Airbus Boeing737            Boeing 787 6.4 8.7 9.9 7.8 7.4 12.8 5.3 9.4 12.1 7.4 10.1 10.8 8.4 9.2 11.3 7.3 9.8 11.5 __________________________________________________________________ Sample Mean 7.1…
Which of the following is NOT a threat to the internal validity of an experiment? Experimenter effects. Confounding variables Demand characteristics. Within-groups design.
In a two-factor analysis of variance a main effect is defined as the ____. a. mean differences among the levels of one factor b. mean differences among all treatment conditions c. mean difference between the two factors d. difference between the largest treatment mean and the smallest treatment mean

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