Introduction to Statistics..What are they? And, How Do I Know Which One to Choose?

The field of statistics touches our lives in many ways. From the daily routines in our homes to the business of making the greatest cities run, the effects of statistics are everywhere.

What is statistical analysis?

It’s the science of collecting, exploring and presenting large amounts of data to discover underlying patterns and trends. Statistics are applied every day – in research, industry and government – to become more scientific about decisions that need to be made.

Know More : Wikipedia - Statistical

Even though you may not have realized it, you probably have made some statistical statements in your everyday conversation or thinking. Statements like “I sleep for about eight hours per night on average” and “You are more likely to pass the exam if you start preparing earlier” are actually statistical in nature.

Statistics is a discipline which is concerned with:

In making predictions, Statistics uses the companion subject of Probability, which models chance mathematically and enables calculations of chance in complicated cases.

Today, statistics has become an important tool in the work of many academic disciplines such as medicine, psychology, education, sociology, engineering and physics, just to name a few. Statistics is also important in many aspects of society such as business, industry and government. Because of the increasing use of statistics in so many areas of our lives, it has become very desirable to understand and practise statistical thinking. This is important even if you do not use statistical methods directly.

1. This video is about an Introduction to Statistics

2. This video talks about where data comes from, individuals

This video talks about where data comes from, individuals. What types of variables we examine from individuals and what a distribution of a variable is.

3. Overview of statistical analyses in the social sciences

This tutorial provides an overview of statistical analyses in the social sciences. It distinguishes between descriptive and inferential statistics, discusses factors for choosing an analysis procedure, and identifies the difference between parametric and nonparametric procedures.