Hypothesis Testing and Confidence Intervals

Charu C. Aggarwal
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Charu C. Aggarwal: IBM T. J. Watson Research Center

Chapter Chapter 5 in Probability and Statistics for Machine Learning, 2024, pp 191-243 from Springer

Abstract: Abstract The previous chapter introduced several probability distributions, including the normal distribution, the t-distribution, and the χ2-distribution. These distributions are very important in statistics because they enable the use of a very important concept in experimental science, referred to as hypothesis testing. This method is a formal technique for evaluating the reliability of a conclusion about the population from (limited) experimental data.

Date: 2024
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DOI: 10.1007/978-3-031-53282-5_5

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