Abstract
In the last chapter, we made inferences about a population parameter by creating a confidence interval from a sample. We will now look at another method, called hypothesis testing, for making inferences about a population parameter. In hypothesis testing we infer that the stated null hypothesis (H0) is true until there is convincing but not perfect evidence that the null hypothesis is not true. Our evidence is from the sample that we obtain. We conclude that there is convincing evidence when the p-value is less than the alpha value. The p-value will be discussed later in this chapter.
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Bibliography
Microsoft Inc., Excel 2013. Microsoft Inc., Redmond
Lee CF, Lee JC, Lee AC (2013) Statistics for business and financial economics. Springer, New York
Minitab Inc. Minitab 17. Minitab Inc., State College
SAS Institute Inc. SAS 2014. SAS Institute, Cary
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© 2016 Springer International Publishing Switzerland
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Lee, CF., Lee, J., Chang, JR., Tai, T. (2016). Hypothesis Testing. In: Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses. Springer, Cham. https://doi.org/10.1007/978-3-319-38867-0_11
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DOI: https://doi.org/10.1007/978-3-319-38867-0_11
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