Introduction to Data Analysis: Basic concepts and significance of data analysis in economics.
Descriptive Statistics: Measures of central tendency (mean, median, mode), measures of dispersion (variance, standard deviation), and graphical representation of data (histograms, bar charts, pie charts).
Probability Theory: Basic probability concepts, probability distributions (binomial, normal distributions), and properties of probability.
Sampling Methods: Simple random sampling, stratified sampling, cluster sampling, and systematic sampling.
Statistical Inference: Estimation of population parameters (point estimation, interval estimation) and hypothesis testing (null and alternative hypotheses, type I and type II errors, significance level, p-values).
Correlation and Regression Analysis: Correlation analysis (Pearson correlation coefficient) and simple linear regression analysis (least squares method, coefficient of determination).