Answer:
d. Several means when there are two independent variables, and the same entities have been used in all conditions.
Step-by-step explanation:
ANOVA is an abbreviation for analysis of variance and it was developed by the notable statistician Ronald Fisher. It is typically a collection of statistical models with their respective estimation procedures used for the analysis of the difference between the group of means found in a sample. Simply stated, ANOVA helps to ensure we have a balanced data by splitting the observed variability of a data set into random and systematic factors. In Statistics, the random factors doesn't have any significant impact on the data set but the systematic factors does have an influence.
Two-way repeated-measures ANOVA compares several means when there are two independent variables, and the same entities have been used in all conditions.
<em>Hence, the aim of a two-way analysis of variance (ANOVA) is to give the relationship or identify if there is an interaction between the two independent variables on the dependent variable. </em>
Well first following pemdas we do 3 to the 2nd power so 3*3 = 9
then we do 9 * 2 = 18
then our problem looks like this 1 + 18 - 5
so 1 +18 = 19
then 19 - 5 = 14 so our answer is 14
3 students = $48.76
1 student = 48.76 ÷ 3 = $16.25 (nearest hundredth)
2/6 and it = 3/6 which simplified as 1/2