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
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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
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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),