In anova, by dividing the mean square between groups by the mean square within groups, a(n) Analysis of variance statistic is computed.
What is Analysis of variance ?
- With the help of the statistical analysis approach known as ANOVA, apparent aggregate variability within a data set is explained by separating systematic components from random factors.
- Systematic influences, but not random ones, statistically affect the data set that is being presented.
What are some instances where ANOVA has been applied?
- An ANOVA demonstrates the link between the dependent variable and the level of the independent variable.
- For illustration: In order to determine whether there is a difference in the number of hours of sleep each night as your independent variable, you divide the groups into low, medium, and high social media use categories.
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Answer:
A. Independent variable
Step-by-step explanation:
The prediction of a variable can be done if we have the independent variable. Which is the required variable that is used to determine the value of the other variable. The variable to be predicted is dependent on the required variable.
An independent variable can also be referred to as a predictor variable. When its value is known, it can be used to obtain the dependent variable.
David's pumpkin cost $8.22
His sister's pumpkin cost $4.98
They paid $13.20
X= 3x + 6 / 3 = 6 (im pretty sure)
Only b because A is correct
