Answer:
b. False
Step-by-step explanation:
In a research study, when a researcher wants to find the impact of a new treatment, then the researcher randomly divides the the study participants into two groups. The groups are :
-- control group
-- treatment group
The control group is a group that is used to establish the cause-and-effect relationship by making the effect of an independent variable isolate. It receives no treatment or some standard treatment for the which the effect is already known.
The treatment group receives the treatment for which the effect the researcher is interested in.
Thus the averages of the four categorized groups are not required for estimating the difference.
Therefore, the answer is FALSE.
2.25 for 6 would be 0.375 per one of them
1.30 for 4 would be 0.325 per one of them
0.97 for 2 would be 0.485 per one of them
Answer:c
Step-by-step explanation:
Answer:
0.156
Step-by-step explanation:
Given that :
% of Explained variance by certain predictors of first year college grade :
SAT 11 scores = 17%
GPA = 15.6%
SAT 1 = 13.3%
Fitting a least squares line :
y = First year college GPA
x = high school GPA
THE r² value which is Coefficient of determination is the percentage of explained variance given by the regression line. The r² value of GPA will the as given above 15.6%
r² = 15.6% = 15.6/100 = 0.156
Step-by-step explanation:
hope it helps.
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