notes 35 - Comparing Two Groups Submitted by gfj100 on Wed,...

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Comparing Two Groups Submitted by gfj100 on Wed, 11/11/2009 - 13:39 Previously we discussed testing means from one sample or paired data. But what about situations where the data is not paired, such as when comparing exam results between males and females, or the percentage of those who smoke between teenagers and adults? In such instances we will use inference to compare the responses in two groups, each from a distinct population (e.g. Males/Females, White/Non-White, and Deans List/Not Deans List). This is called a two-sample situation and is one of the most common settings in statistical applications. Responses in each group must be independent of those in the other, meaning that different, unrelated, unpaired individuals make up the two samples. Sample sizes, however, may vary between the two groups. Examine Difference Between Population Parameters To look at the difference between the two groups, we look at the difference between population parameters for the two populations involved. For categorical data, we compare the proportions with a characteristic of interest (say,
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notes 35 - Comparing Two Groups Submitted by gfj100 on Wed,...

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