Introduction to Statistics is wide range of subject. In different field they are using statistics with the applications. referred that the statistics is a method. To analysing, collecting, interpreting and drawing conclusions from the information. In another method the scientists and mathematicians are says that. Introduction to Statistics developed for collecting the data from interpreting and drawing conclusions. Everywhere it deals the collecting and processing and interpreting the data. The presentation also depending on the domain of the statics. Those activities are also done by the only statistics.

Introduction to Statistics

Methods of Statistics

The Methods of Statistics can classified into two types in data science. They are
· Descriptive Statistics

· Inferential Statistics


Descriptive Statistics

It is explain basic features of the study. They offered the simple review of the samples and measures. Simple graphics analysis used to form the basis of real quality analysis of the data. The descriptive statistics in Introduction to Statistics  can broken down. Into the measures of central tendency, measures of variability. And the smallest and largest variables. The measures of central tendency includes the mean, median, and mode. The measure of variability includes the standard deviation and variance.

Inferential statistics

Here inferential statics may used to study or assume the sample data. That might be population think. And this may use to judgment in the probability. The group’s difference might be different in the one or more changes in the study.


it has some rules, regulations, concepts and procedures. They used to

– Organize: The numerical information must be in form of tables, graphs and charts.

– Understand: These statistical techniques used to take decisions in our lives and well-being.
– Make: Those are making informed decisions.


The data collected by the observations. Facts and information’s. That are comes from investigations.

· Measurement Data: Sometimes the quantitative data known as measurement data. Some instruments used to collected the data(ex. Weight, test score)
· Categories data: It is also known as the qualitative data or frequency. According to this some properties or things grouped. And the number of members are also recorded (vehicles, males/females etc.)


In the variable system the objectives. Or events can taken as properties in different values.
· Discrete Variables: The variable has limited number of values.
· Continuous variables: In this variable can take any value in many different values. Between the highest and lowest points on the measurement scale.
· Independent Variables: This variable can taken as the measured. Selected or manipulated by the researcher. It taken by the observed behaviour on the antecedent condition. The hypothesised cause-and-effect relationship may depend on the cause of the different variable. It affects the outcome.
· Dependent variable: The variable dependent on the independent variable. That may observed or measured in the response of independent variable.
· Qualitative Variable: This variable based on the categorical data.
· Quantitative Variables: This variable based on the Quantitative data.

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