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.
Learn more about Analysis of variance
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Answer:
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Step-by-step explanation:
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<em>x equals 22</em>
<h2>
Explanation:</h2>
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The Segment Postulate states the following:
<em>Given two end points A and B, a third point C lines on the segment AB if and only if the distances between the points satisfy the equation:</em>
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From the figure:
Our goal is to find x:
<h2>Learn more:</h2>
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Step-by-step explanation:
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