This introduction will teach you all the basic words 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.

First study the lesson about "What is statistics?"

Then, study the lesson about "types statistics?"

Continue with "Population versus sample"

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.

Representative sample

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.

Time-series data

Understand the meaning of time-series data

Cross-section data

Understand the meaning of cross-section data