Question

Can someone please check my answers?

An industrial/organizational psychologist has been consulting with a company that runs weekend job-seeking workshops for the unemployed. He collected data on several issues related to these workshops and, after conducting statistical tests, obtained statistically significant findings. He needs to find a way to evaluate effect size so that he can make recommendations to the company. One of the psychologist's findings is that 1 year after the workshop, a sample of 49 job seekers who received training on using the Internet to find job listings scored an average of 6.5 as measured on a 9-point job-search satisfaction scale, with a standard deviation of 1.2. The typical job seeker scores 5.8 points. When comparing the mean of the sample of job seekers who received training on using the Internet to find job listings with the typical job seeker, the psychologist finds the t statistic is 4.12. At a significance level of a = .05, the critical value tos(48) = 2.011. Which of the following could the psychologist report as a meaningful indication of the size of the effect? Check all that apply. An estimate of the number of standard deviations the sample mean was from the mean of typical job seeker (d, often referred to as the estimated Cohen's d) I A statement indicating that the null hypothesis was rejected The significance level (a = .05) I A statement indicating that the mean number of points scored by the sample of job seekers who received training on using the Internet to find job listings was 0.7 points more than the mean for the typical job seeker The effect size (à, often referred to as the estimated Cohen's d) is 0.583 . Another one of the psychologist's findings is that a sample of 144 job seekers who received training on interview skills worked more than 30 hours an average of 6.9 months in the last year, with a standard deviation of 2.5. The typical job seeker works 6.4 months. When comparing the sample mean of the job seekers who received training on interview skills with the mean of typical job seeker, the psychologist finds that the t statistic is 2.38. At a significance level of = .05, the critical value tos(143) = 1.977. The effect size (d, often referred to as the estimated Cohen's d) is 0.583 .

Answer 1

t= Ans i X 6.5, M = 5.8, 0 = 1.2, .N= 49 · Test statistics -H 10 t = 65- 5.8 - 4.0.83 - 721579 t = 4.087 Critical value = 0.05, ofan-t= 40 to.os (48)= 1.6772 (From t-table) Sina t=4.00 > to.os (48) = 1.6772 a statement indicated that null hypothesis was vejected Cohen's do tIN = 4.081149 = 0.583 Id= 0.583) (27. na 144, 7 = 6:4, $ = 2.5, H = 6.4 test statistius 1. t= X-4 atainot + = 6.9-6.4 = 2.4 2.5 / 5144 It = 2.40] Critical Valee * = 0.05, dfan-de 143 to.os. (143) = 1.6 556 (From t-table) Since t = 2-40 > toros (143) = 1,6556 Reject Hoi Cohen's d = tim 2.401|144 = 0.2 Td =0.2