For LSD, how would you report your results?A LSD post hoc test (p < .05) revealed that the mean FIQ score for younger subjects (107.15) was significantlylower than the mean FIQ scores for middle-age subjects (112.40) and older subjects (109.08).A LSD post hoc test (p < .05) revealed that the mean FIQ scores for younger subjects (109.08) and oldersubjects (107.15) were not different, but both were significantly lower than the mean FIQ score for middle-agesubjects (112.40).A LSD post hoc test (p < .05) revealed that the mean FIQ scores for younger subjects (107.15) and middle-agesubjects (108.40) were not different, but both were significantly lower than the mean FIQ score for oldersubjects (112.40).A LSD post hoc test (p < .05) revealed that the mean FIQ scores for younger subjects 108.40) and middle-agesubjects (109.08) were not different, but both were significantly higher than the mean FIQ score for oldersubjects (107.15).O A LSD post hoc test (p < .05) revealed that the mean FIQ score for younger subjects (109.08) was significantlyhigher than the mean FIQ score for middle-age subjects (108.40) but significantly lower than the mean FIQscore for older subjects (112.40). OnewayDescriptivesWAIS-R full scale IQ95% Confidence Interval forMeanPost Hoc TestsMeanStd. DeviationStd. ErrorLower BoundUpper BoundMinimumMaximum5-25 Years185107.1511.946.878105.41108.887714626-59 YearsMultiple Comparisons380108.4012.840.659107.11109.707315060-92 Years185112.4012.052.886110.65114.1581143Dependent Variable: WAIS-R full scale IQTotal750109.0812.572459108.18109.9873150LSDMeanDifference (I-J)95% Confidence IntervalANOVA(1) Subjects age in years(J) Subjects age in yearsStd. ErrorSig.Lower Bound Upper BoundWAIS-R full scale IQSum of5-25 Years26-59 Years-1.2571.115.260-3.44.93SquaresdfMean SquareFSig.60-92 Years-5.2541.293<.001-7.79-2.72Between Groups2905.50221452.7519.398<.00126-59 Years5-25 Years1.2571.115.260-.933.44Within Groups115472.857747154.58260-92 Years-3.997"1.115<.001-6.19-1.81Total118378.35974960-92 Years5-25 Years5.2541.293<.0012.727.79ANOVA Effect Sizes26-59 Years3.9971.115<,0011.816.19Point95% Confidence Interval*. The mean difference is significant at the 0.05 level.EstimateLowerUpperWAIS-R full scale IQ Eta-squared.025.006.049Epsilon-squared.022.004.046Omega-squared Fixed-.022.004.046effectOmega-squared.011.002.024Random-effecta. Eta-squared and Epsilon-squared are estimated based on the fixed-effect model.

The p-value for the difference between group-1 and 2 is more than the 0.05 (significance level)…

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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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This research was conducted with Korean adolescents in the Los Angeles area. Would you be willing to generalize the results of this study to Korean adolescents who live in other regions of the country? Why or why not.
A social psychologist recently developed a childhood-memories test that is intended to measure how people recall pleasant and unpleasant experiences from childhood. Scores on the test range from 1 (very unpleasant) to 100 (very pleasant). The psychologist standardized the test with a large group of college students (ages 18-25), and the mean score was p=60. The test was then given to a sample of n=25 individuals who were all between the ages of 40 and 45. The average score for this sample was 64.3 with SS (sum of squares)=600. Note: S?=SS÷df (variance is equal to sum of squares divided by the degrees of freedom). What is your standard deviation? Answer:
According to a recent article about individuals who have credit cards, the mean number of cards per person with credit cards is 4.5. To test this result a random survey of 60 individuals who have credit cards was conducted. The survey only includes the number of credit cards per participant. The results of the survey are attached below. (a) What is the variable of interest in this study? Is it qualitative or quantitative? (b) Do the results of the survey imply that the mean number of cards per individual is less than 4.5? Use the a = 0.05 level of significance. E Click the icon to view the data from the survey. (a) What is the variable of interest in this study? Is it qualitative or quantitative? The variable of interest is number of credit cards.It is a quantitative variable. (b) Do the results of the survey imply that the mean number of cards per individual is less than 4.5? Use the a = 0.05 level of significance. State the null and alternative hypotheses. Họ: H = 4.5 < 4.5 H1: H…
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