#4 requires the use of The Distribution table in the appendix of the Gravetter and Wallnau textbook. 4. In an independent samples study, the mean (x 1 ) for Sample 1 is 39 (N1=10) and the mean (x 2 ) for Sample 2 is 31 (N2 = 10). The estimate of the standard error (the error estimate) is 2.45. Calculate the degrees of freedom (df) compute fobs find tcritical (for a two- tailed test, p is set at less than ). Based on the information for #4, the logic dictates a decision to: a. a. reject the null hypothesis (H 0 : mu 1 = mu 2 ) b. fail to reject the null hypothesis (H B : mu 1 = mu 2 )
#4 requires the use of The Distribution table in the appendix of the
Gravetter and Wallnau textbook. 4. In an independent samples study, the mean (x 1 ) for Sample 1 is 39 (N1=10) and the mean (x 2 ) for Sample 2 is 31 (N2 = 10). The estimate of the standard error (the error estimate) is 2.45. Calculate the degrees of freedom (df) compute fobs find tcritical (for a two- tailed test, p is set at less than ).
Based on the information for #4, the logic dictates a decision to:
a. a. reject the null hypothesis (H 0 : mu 1 = mu 2 )
b. fail to reject the null hypothesis (H B : mu 1 = mu 2 )
In a study with one sample of individuals measured on the dependent variable (DV) before and after treatment, is it possible to analyze the data to test a null hypothesis (H e :D-bar=0) , in which variation on the DV is observed for each and every sampled individual?
a.yes or b.no
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
