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Statistical Methods: Course Contents

Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data

Course content

Population, Sample, Parameter, Statistic,

Applications of Binomial, Poisson and Normal

Distributions, Hypothesis, Types of Hypothesis,

Level of confidence, Critical and Acceptance

Regions, Type I and II errors, confidence interval

Simple and composite hypotheses about mean(s)., proportion(s)., variance(s).,

Rregression coefficients and correlation coefficient,

P-value, power of a test and O.C. Function, Independence in contingency tables,

One and two-way analysis of variance, goodness of fit test,

Tests of normality and randomness,

Introduction to the use of one statistical packages-like MINITAB, SPSS, BMDP etc.

Text Book

Reference Books