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 Title      : PARAMETRIC STATISTICS AND NON-PARAMETRIC STTISTICS (M.ED FIRST YEAR B-10 ) Subject      : M.Ed copyright © 2019   : Karnataka State Open University Author      : KSOU Publisher      : Karnataka State Open University Chapters/Pages      : 7/95 Total Price      : Rs.      : 42 To Purchase, select the individual chapter(s) or click "Select all" for the complete book. Please scroll down to view chapter(s).
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Reliability in statistics and psychometrics is the overall consistency of a measure It is the characteristic of a set of test scores that relates to the amount of random error from the measurement process that might be embedded in the scores.
 Pages: 16
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In statistics, a sampling distribution or finite-sample distribution is the probability distribution of a given random-sample-based statistic.
 Pages: 13
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Hypothesis testing is used to infer the result of a hypothesis performed on sample data from a larger population. The test tells the analyst whether or not his primary hypothesis is true. Statistical analysts test a hypothesis by measuring and examining a random sample of the population being analyzed.
 Pages: 11
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A statistically significant test result is one in which a difference between two groups is unlikely to have occurred because the sample happened to be atypical.
 Pages: 13
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Analysis of variance is a collection of statistical models and their associated estimation procedures used to analyze the differences among group means in a sample.
 Pages: 14
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Non parametric statistics is the branch of statistics that is not based solely on parametric families of probability distributions.
 Pages: 15
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Data analysis is a process of inspecting, cleansing, transforming and modeling data with the. A data product is a computer application that takes data inputs and generates outputs, feeding them back into the environment.
 Pages: 13
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