discuss an instance of how one of the theories discussed is applied using and citing an external resource.

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Discuss the chapter “ANOVA”. You may summarize what you have understood from the chapter, expand upon a topic discussed in the chapter, or provide and discuss an instance of how one of the theories discussed is applied using and citing an external resource.

This is a sample answer from one of my classmate.

Summary of "Analysis of Variance (ANOVA)"

The section reveals how to analyze the difference among multiple groups of means (not two groups) It is important to clarify that t-test is conducted to measure the difference for two groups of means however not for more than three groups. 

There are three kinds of variance: between-estimate of variance, within-estimate of variance, and total variance. Between-estimate of variance measures how far each group means from the overall mean. On the other hand, within-estimate of variance shows how much each group distribution spreads.

ANOVA's null hypothesis would be, "all the sample means are equal" It is necessary to compute f value to attest the null hypothesis. F value can be computed by "the mean square due to treatments denoted MSTR divided by the mean square due to errors denoted MSE". The null hypothesis would be rejected when MSTR is large and MSE is small. 

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