This introduction will teach you all the basic terms of statistics and how to collect data. It is important to understand them well before studying the unit about organizing data.
The lessons are organized in a way to make the learning process as smooth as possible. Follow the logical order given here to study the lessons.
And so forth...
What is statistics?
Understand the meaning of statistics, applied statistics, theoretical statistics, numerical facts and mathematical statistics
Types of statistics
Become familiar with two types of statistics in applied statistics: Descriptive statistics and inferential statistics.
Population versus sample
Learn the difference between a population and a sample.
What is a survey?
Definition of survey, sample survey, and the difference between survey and census.
Learn how to ensure that a sample really represents the population.
Common sampling methods
Understand the meaning of random sampling, convenience sampling, systematic sampling, cluster sampling, and stratified sampling.
Variable, data set, element, and observation
Understand the meaning of these basic terms using statistical data.
Types of variables
Understand the meaning of quantitative variables, discrete variables, continuous variables, qualitative variables, independent variables, and dependent variables.
Understand the meaning of time-series data
Understand the meaning of cross-section data