Course Contents
Unit I Introduction 5 hours
Basic concepts of statistics, Terminologies associated with statistics such as populations and samples, Variables (Dependent and independent only) , Types and sources of data , Descriptive and inferential statistics, Data processing (editing and coding), Applications of statistics in business and management.
Unit II Describing Data: Graphs and Tables 6 hours
Data array, Stem and leaf Display, Frequency tables, Histograms, Polygon, Cumulative Polygon, Scatter plots, Simple Bar and Pie charts, Cross tabulation
Unit III Describing Data: Summary Measures 10 hours
Central Location: Mean, Median and Mode
Non Central Location: Quartiles, Deciles and Percentiles
Dispersion: Range, Interquartile range, Variance, Standard deviation, Coefficient of variation, Index for qualitative variation (IQV)
Shape: Crude measure (comparison of mean, median, and mode), Five number summary, Box plot
Inequality Measure: Gini concentration ratio
Unit IV Basics of Probability Theory 5 hours
Basic concepts, Counting rule, Objective and subjective probability, Marginal and joint probability, Addition rule, Conditional probability, Multiplication rules.
Unit V Probability Distributions 10 hours
Discrete probability distribution (Binomial and Poisson distribution and mean and standard deviation of their distributions), Continuous probability distribution: Normal distribution, Normal approximation of Binomial and Poisson distribution
Unit VI Estimation and Hypothesis Testing 12 hours
Concept of estimation, Confidence intervals, confidence intervals for means and proportions (one sample case only ), Test of significance, p-value approach to hypothesis testing, connection between confidence intervals and hypothesis testing, comparing two means (two sample z and t- test procedures), and comparing two proportions.
