Statistics course is useful for students of Master's degree. Often 1st year of Master's degree course includes statistics as a subject. Later on, student also have to submit dissertations, prepare a project etc. which requires application of statistics.
This course will help students in understanding statistics properly so that they can give exams in statistics and apply statistics in their projects, dissertations etc.
Course includes following topics -
Descriptive statistics –
- Types of data,
- Level of measurement- nominal, ordinal, interval & ratio,
- Classification of data, organisation of data,
- Frequency distribution,
- Tabulation, graphical representation,
- Summarisation of data - Measures of Central Tendency, Measures of Dispersion
Inferential Statistics -
- Probability and Probability distribution, normal distribution, poisson distribution, binomial distribution
- Parameter and statistics
- Sampling distribution
- Estimation
- Hypothesis testing – statement of hypothesis, null and alternative hypothesis, level of significance, one tail and two tail test, errors in Hypothesis testing – type 1 and type 2 error, Critical value approach, one sample tests, two sample tests
- T- test, Z- test, chi square test, analysis of variance ( ANOVA), one way and two way ANOVA,
- Correlation and regression,
- Non parametric tests - Mann Whitney ‘U’ Test For Two Sample Test, Wilcoxon Matched Pair Signed Rank Test, Spearman’s Rank Order Correlation or Spearman’s rho (rs), Kendall’s Rank Order Correlation (Kendall’s tau): (π), Kruskal Wallis ANOVA Test