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Statistical knowledge helps you use the proper methods to collect the data, employ the correct analyses, and effectively present the results. Statistics is a crucial process behind how we make discoveries in science, make decisions based on data, and make predictions.

We begin by introducing two general types of statistics: Descriptive statistics: statistics that summarize observations. Inferential statistics: statistics used to interpret the meaning of descriptive statistics.

For example: ?I've always been interested in data science because it allows me to put my love of math and science into practice.? Or ?I've always been fascinated by statistics because they allow us all to think critically about the world around us.?

With statistical knowledge, you can use the right methods to gather information, employ the right analysis, and present results effectively. It is a subject comprised of processes on how to make scientific discoveries, use data to make decisions and predictions. Statistics enables you to understand a topic deeply.

Selection of appropriate statistical method depends on the following three things: Aim and objective of the study, Type and distribution of the data used, and Nature of the observations (paired/unpaired).

Statistics is a collection of tools that help people understand the meaning of quantitative data. These tools can compare datasets to see how similar they are to one another, how internally consistent the data are, and the characteristics of the data.

Statistics deals with collection, organisation, analysis and interpretation of data. The word 'statistics' has different meanings in different contexts.