Answer:
When using ANOVA, the sum of squares within is: Showing the difference between the Total SS and Between SS known as Error variance
Step-by-step explanation:
Within SS is also known as Error sum of squares . It is calculated by finding the difference between Total Sum of Squares and Between Sum of Squares
with the given degrees of freedom.
Within SS = Total SS - Between SS
Where
Total SS= ∑∑X²- C. F
Between SS= ∑T²j/r - C.F
Correction Factor = CF = Tj²/n
So the correct answer would be
Showing the difference between the Total SS and Between SS also known as Error variance.
Answer:
10:18
Step-by-step explanation:
7:50+ 2=8:10
+8+8:18
2+8=10
10:18
The answer is a = 132.93 cm2
Use the distributive property of multiplication.
25(-5x/2)=-62.5x, and 25(1/2)=12.5.
Add these together: -62.5x + 12.5 (answer)
Answer:
A
Step-by-step explanation:
As the sample size n increases, the sample mean (μy) becomes a more accurate estimate of the parametric mean, so the standard error of the mean becomes smaller. Therefore, the variance of y decreases and the distribution of y becomes highly concentrated around μy.
