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National Institute of Technology Tiruchirappalli (NITT)
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Introduction to statistics-Collecting & tabulating data-Measure of Central Tendency and Dispersion in Frequency Distribution. Probability Theory: classical, objective & subjective Approach-Addition, Multiplication & Bayes Theorem
Binomial, Poisson and Normal - Decision Making under certainty, uncertainty and Risk
Sampling and Sampling Distribution: Types of sampling -Random Sampling-Concept of Standard Error Central Limit Theorem. Estimation: Types of estimates-Point Estimate, Interval estimate of their population mean, variance and proportion-student-t distribution.
Testing Hypotheses Significance level-Type I & Type II error- one Two tail tests -Hypothesis Testing of means, proportion-Chi-Square Test-Analysis of variance.
Non Parametric methods Kolmogorov Test-Median Test - Mann -Whitney Test - Wircoxon T Test - Friedman ANOVA-Mcnemar Test-Cochram's Q Test.
Books :
1. Richard I. Levin and David S.Rubin, 'Statistics for Management', Prentice Hall of India, 1999.
2. Srivatasava. Shenoy and Sharma, 'Quantitative Techniques for Managerial Decision Making', 3rd Ed., WileyEastern, 1998.
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