Fundamentals of Statistics with Stata short online course

This course provides an introduction to statistics in health and the social sciences which is taught in pre-recorded lecture format, and a pre-set computer exercise where you will learn to use Stata syntax to interrogate a dataset, undertake management and manipulation of large complex data (such as recode variables, create new variables, and combine several datasets), and conduct simple statistical analyses (t-tests, ANOVA, correlation, chi-square test, and simple linear regression).

            Session 1: Descriptives and the Normal Distribution

            Session 2: Inference, Confidence Intervals, and Hypothesis testing

            Session 3: T-test and ANOVA

            Session 4: Chi Square test and correlation

            Session 5: Intro to linear regression

On completion of this course, students will:

• Understand the concepts behind basic descriptive and inferential statistics for social science research, and how to interpret these statistics
• Understand the principles of correlation, t-tests, chi-square and regression in social science research, and how to interpret these tests
• Demonstrate competence in a basic level of data manipulation using Stata to prepare social science datasets for statistical analysis
• Demonstrate competence in the use of Stata to interrogate social science datasets using descriptive statistics and commonly used statistical tests
• Understand how complex social science large scale datasets are structured and the implications of this