2. Based on statistical analyses of the study provided below, how will you: a) identify and explain which is more appropriate; b) determine your decision, and; c) interpret results? Table 1. T-test for Independent Samples from a sample study Independent Samples Test t-test for Equality of Means Levene's Test for Equality of Variances F Sig. t df Sig. (2- Mean Std. tailed) Difference 95% Confidence Interval of the Error Differenc Difference e Lower Upper Equal variances assumed 9.531 -68556 10160 -.90094 -47017 Weight Equal variances not -.90966-46145 assumed Table 2. T-test for Dependent Samples from a sample study Paired Samples Test Paired Differences df Sig. (2- Mean Std. tailed) Std. Error Mean Deviation Pair 1 Treatment - Weight -.07278 007-6.748 16 .000 -6.748 10.807 .000 -68556 10160 t 26437 95% Confidence Interval of the Difference Lower Upper 0623120425 05869-168 17 259

The data from an independent-measures research study produce a sample mean difference of 4 points and a pooled variance of 16. If there are n = 8 scores in each sample, then what is the estimated standard error for the sample mean difference? Select one: O a. 4 O b. 16 O c. 128 O d. 2

Listed in the accompanying table are heights​ (in.) of mothers and their first daughters. The data pairs are from a journal kept by Francis Galton. Use the listed paired sample​ data, and assume that the samples are simple random samples and that the differences have a distribution that is approximately normal. Use a 0.05 significance level to test the claim that there is no difference in heights between mothers and their first daughters.   ...   Question content area top right Part 1 Mother 62.0 65.0 64.7 65.5 65.0 67.0 66.0 66.5 63.0 58.5   Daughter 68.0 69.0 66.5 63.0 68.0 62.0 66.5 66.7 63.5 66.5       Question content area bottom Part 1 In this​ example, μd is the mean value of the differences d for the population of all pairs of​ data, where each individual difference d is defined as the​ daughter's height minus the​ mother's height. What are the null and alternative hypotheses for the hypothesis​ test?   H0​:…

A two-sample hypothesis test is comparing the averages of the following populations. Population 1 is the salary of female employees and Population 2 is the salary of male employees. A hypothesis test was conducted to see if the average salary of males is greater than the average salary of females. Using the following as the output of the test, state the P-value and interpret the results in context to the problem. Use a significance level of 5% Mean Variance Observations Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Females Males 65,852.00 89,562.00 1,003.00 1,025.00 45 30 0 37 -1.26 0.1200 1.3300 0.2400 1.2800 For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIUS Paragraph Arial 10pt EEVA V Tx XQ5 二 三 ||||| WORDS POWERED BY TINY