A researcher uses an independent-measures t test to evaluate the mean difference between two treatments and obtains t(12) = 4.00
. If the researcher had used an ANOVA to evaluate the data, what F-ratio would be obtained? a. F(1, 11) = 2.00
b. F(1, 12) = 16.00
c. F(1, 12) = 2.00
d. F(1, 11) = 16.00
'ANOVA' is a measure employed for 'analysis of a variance' in a given set of data of treatments or populations. While t-test helps in comparing their means.
As per the question, the F-ratio using ANOVA would be 'F(1, 12) = 16.00.' In order to calculate the variances, the distinction among the samples. The б^2 denotes the difference of representative means which is augmented by n(in case of samples being same). So, the ratio of F(1, 12) would be б^2 i.e. 4^2 = 16 since the sample sizes are distinct. Thus, <u>option B</u> is the correct answer.
"r(s(-2))" is a composition of functions. To evaluate this, we need to plug in "-2" into the function S(x) and then take that value and further plug it into R(x).
First, s(-2):
Now, we take the value (-4) and put it into R(x) to get our final answer:
