Two-Group t-Test of the Difference of the Means for Independent Groups

Thomas J. Quirk and Simone Cummings
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Thomas J. Quirk: Webster University
Simone Cummings: Webster University

Chapter Chapter 5 in Excel 2010 for Health Services Management Statistics, 2014, pp 83-109 from Springer

Abstract: Abstract Up until now in this book, you have been dealing with the situation in which you have had only one group of events or objects in your research study and one measurement “number” on each of these. This chapter asks you to change gears and deal with the situation in which you are measuring two groups of instead of only one group. The nine steps for hypothesis-testing using the two-group t-test are presented, including the decision rule for either accepting or rejecting the null hypothesis for your data, and writing both the result and conclusion of your statistical test. Two formulas are presented in this chapter for this test. You need to use Formula #1 whenever both of your groups have more than 30 events or objects in them, and Formula #2 whenever one or both of your groups have less than 30 events or objects in them. The Excel steps are presented for both of these formulas using a practical example. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional practice problem is presented in the Practice Test given in Appendix B along with its answer in Appendix C of this book.

Keywords: Excel Skills; Null Hypothesis; American College Of Healthcare Executives (ACHE); Greater Sample Size; Fresh Females (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-319-05260-1_5

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