EV RESEARCH
Basic Analytics
Module 1 (4 hours) : Spreadsheets and their utility on data management. Exploring data - Central Tendency (mean, median, mode, quantiles) dispersion (range, variance and other measures). Cross tabulations. Case studies
Module 2 (6 hours): Correlation and Regression. Testing hypotheses. Testing hypotheses about means in case of 1, 2 and more than 2 groups (t, F, z and Analysis of Variance); cross-tabulations of frequencies (Chi-square, log linear analysis). Case studies
Two-day Programme on Basic Data Analysis using R
Day 1:
Descriptive Statistics and Graphs
Introduction to R with reference to Statistics
Basic Statistics – Frequency and Partition values, Measures of Central tendency (Arithmetic mean, Geometric mean, Harmonic mean, Median, Mode), Measures of Dispersion (Range, Standard deviation, variance, Coefficient of Variation), Graphical representation, Plots
Correlation and Regression
Correlation coefficient – simple, multiple, partial
Regression analysis - simple and multiple
Coefficient of Skewness and Kurtosis
Day 2
Testing Hypothesis
Hypothesis testing through R-software:
Parametric tests (t-test, F-test, z-test),
ANOVA: One-way and two-way classification
non-parametric tests (Mann-Whitney U test, Kruskal Wallis test, Friedman’s ANOVA),