To educate students with the techniques of inferential statistics and hypothesis testing.
Sampling; Standard Error of Measurement- Mean, SD; Inference from Large and Small Samples; Degrees of Freedom; Setting up Confidence Intervals for the Population Mean
the Difference between Two Independent Means: Null and the Alternative Hypotheses; One-Tailed and Two-Tailed Tests; Computation and Interpretation of t values; Errors in Hypothesis Testing
Purpose and Assumptions; One-Way Analysis of Variance (Independent Samples) Comparison of t and F
Calculation of the Chi-Square- One Way Classification; Two Classification Variables-Contingency Table Analysis
Introduction to Distribution-free Nonparametric Tests; Comparison with Parametric Tests; Mann Whitney U Test, Spearman Correlation