# Basics of Statistics - Part 1

Basics of Statistics - Part 1

In this chapter we will introduce some basic terminology and lay the groundwork for the course. We will explain in general terms what statistics ...

What you'll learn

• Explain What is Statistics
• Describe the Uses of Statistics
• Explain the Types of Variables
• Explain the Major Sources of Data
• Explain the Key Terms of Statistics
• Explain the Steps for Presentation of Data
• Explain the Various Measures of Central Tendency
• Explain the Methods of Graphical Presentation of Data
• Explain What is a Frequency Distribution Table
• Explain What is Probability
• Explain What is Combination
• Explain What is Permutation
• Explain What is Variance
• Explain What is Standard Deviation
• Describe the Types of Discrete Distributions

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Description

Statistics is the branch of applied mathematics that is concerned with the collection, organization, analysis, interpretation and presentation of quantitative data. The data required for statistics is collected through surveys and experiments and statistics also deals with the planning of data collection. Statisticians play an important role in society as they apply their vast knowledge for designing surveys and experiments. These surveys and experiments help in scientific inquiry as they present data which is collected, processed, analyzed and interpreted to give results.

The English word ‘Statistics’ has been derived from and has its roots in several different languages such as ‘status’ in Latin, ‘statistik’ in German, ‘statista’ in Italian and ‘statistique’ in French. A ‘Variable’ is a quantity that can assume any of a set of values.  It is generally represented by using a symbol such as ‘x’ or ‘y’. Such symbols are widely used in mathematical or logical expressions to represent a variable quantity.

‘Qualitative variables’ have non-numeric outcomes and involve distinctions based on qualities that are used to identify categories of items with no natural ordering.  ‘Quantitative variables’ have numeric outcomes and are expressible as a quantity and indicate how much and how many?  ‘Discrete Random Variables’ have numerical outcomes which can be only a certain number of possible values, usually integers. However, it is not always necessary that these possible values are always integers.

‘Primary Data’ is the data that is collected for the first time during the research. ‘Secondary Data’ is the data which is already available and published data that had been collected for some other purpose, but can be used for the present research also.

Random Sample:

‘Random Sample’ is a sub-set of a population in which all members of the population are equally likely to be selected for inclusion in the sample. This helps to make sure that the sample is representative of the whole population. Online Course CoupoNED based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.