Answer:
Step-by-step explanation:
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>
Answer:
the first one id.k
the second one: y=100
Step-by-step explanation:
bae istg this man a hacker ContentBot2
Answer:
2x+3=17 i think
Step-by-step explanation: