t-Tests for Two Means Comparisons
Hang Lee
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Hang Lee: Massachusetts General Hospital, Department of Biostatistics
Chapter Chapter 3 in Foundations of Applied Statistical Methods, 2014, pp 63-74 from Springer
Abstract:
Abstract In Chap. 2, the one-sample t-test was introduced to test whether or not a single mean of a population is equal to a certain value. Chapter 3 will introduce the extension of the t-test to examine whether or not the difference between the two population means is equal to a certain value. Two situations will be discussed of which the first is when the two means are from independent (i.e., unrelated) populations, and the second is when the two means are from related populations.
Keywords: Population Means; Observe Estimate; Result Test Statistic; Systolic Blood Pressure Measurement; Blood Pressure Range (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-02402-8_3
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DOI: 10.1007/978-3-319-02402-8_3
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