Fast. Accurate. Easy to use. Stata is a complete, integrated software package that provides all your data science needs—data manipulation, visualization, statistics, and automated reporting.
What you’ll learn?
Assoc. Professor. Rajendra Man Shrestha
Fast. Accurate. Easy to use. Stata is a complete, integrated software package that provides all your data science needs—data manipulation, visualization, statistics, and automated reporting.
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1. Introduction
· Different levels (main window, command window, variable window, data view)
· STATA commands (structure) (probably using the example of tabulate and tabstat)
· Help and search function
· Do-files
· Log-files
2. Data management I
· Variable measures (scale, ordinal, nominal)
· Logic expressions (if, greater than, smaller than, equal, unequal, and, or)
· Generate, replace, recode variables
· Define variable and value labels
3. Descriptive statistics
· Frequency tables
o Frequencies, percentages
· cross tables
o Chi-squared test, significance
· Means, mean comparisons
o Mean comparison (t-test, ANOVA, non-parametric tests), significance
· Correlations
o Covariance, standard deviation, correlation coefficient, significance
4. Inferential statistics
· Linear regression
o Function and its elements, dependent and independent variables, assumptions and problems (heteroscedasticity, multicollinearity)
o Modelling, dummy variables
o interpretation (R-squared, regression coefficients), significance
o estimation
· Logistic regression (with binomial variable)
o Function and its elements, dependent and independent variables, assumptions and problems
o Modelling
o interpretation (Pseudo R-squared, regression coefficients, odds ratio), significance
o estimation
5. Data management II
· Sort, keep, drop
· Aggregate (collapse), merge
6. Graphs
Stata is a powerful statistical software that enables users to analyze, manage, and produce graphical visualizations of data