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12.6: Introduction to Comparing Population Means

  • Page ID
    140467
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    Studies often compare two groups. For example, researchers are interested in the effect aspirin has in preventing heart attacks. Over the last few years, newspapers and magazines have reported various aspirin studies involving two groups. Typically, one group is given aspirin and the other group is given a placebo. Then, the heart attack rate is studied over several years.

    There are other situations that deal with the comparison of two groups. For example, studies compare various diet and exercise programs. Students are interested in whether SAT or GRE preparatory courses really help raise their scores. Many job applications require comparing two groups.

    To compare two means or two proportions, you work with two groups. The groups are classified either as independent or matched pairs. Independent groups consist of two samples that are independent, that is, sample values selected from one population are not related in any way to sample values selected from the other population. Matched pairs consist of two samples that are dependent. The parameter tested using matched pairs is the population mean. The parameters tested using independent groups are either population means or population proportions of each group.


    This page titled 12.6: Introduction to Comparing Population Means is shared under a CC BY-NC 4.0 license and was authored, remixed, and/or curated by OpenStax via source content that was edited to the style and standards of the LibreTexts platform.