Understanding Statistical Inference

J. P. Verma () and Priyam Verma
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J. P. Verma: Sri Sri Aniruddhadeva Sports University

Chapter Chapter 2 in Determining Sample Size and Power in Research Studies, 2020, pp 9-28 from Springer

Abstract: Abstract In inferential statistics, either we estimate population characteristics such as mean or some ratio using a representative sample or test their equality to some predefined values. Estimating parameters comes under theory of estimation, whereas testing parameters is covered under theory of hypothesis testing. One of the assumptions which is common to all the parametric tests is that the sample has been drawn from a normal population. One of the common parameters estimated in survey studies is the mean of the population. To rationalize the normality assumption in the parametric tests based on sample studies, let us see how the sample mean is distributed if a sample of the same size is repeatedly drawn from a known population.

Date: 2020
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DOI: 10.1007/978-981-15-5204-5_2

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