Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. In other words, it is a mathematical discipline to collect, summarize data.
According to MerriamWebster dictionary, statistics is defined as “classified facts representing the conditions of a people in a state – especially the facts that can be stated in numbers or any other tabular or classified arrangement”.
According to statistician Sir Arthur Lyon Bowley, statistics is defined as “Numerical statements of facts in any department of inquiry placed in relation to each other”.
Mathematical Statistics
Mathematical statistics is the application of Mathematics to Statistics, which was originally conceived as the science of the state — the collection and analysis of facts about a country: its economy, and, military, population, and so forth.
Mathematical techniques used for this include mathematical analysis, linear algebra, stochastic analysis, differential equation and measuretheoretic probability theory.
Scope
Statistics is used in many sectors such as psychology, geology, sociology, weather forecasting, probability and much more. The goal of statistics is to gain understanding from data it focuses on applications and hence, it is distinctively considered as a Mathematical science.
Methods
The methods involve collecting, summarizing, analyzing, and interpreting variable numerical data. Here are some of the methods provided below.
 Data collection
 Data summarization
 Statistical analysis
Data
Data is a collection of facts, such as numbers, words, measurements, observations etc.
Types of Data
 Qualitative data it is descriptive data.
 Example She can run fast, He is thin.
 Quantitative data it is numerical information.
 Example An Octopus is an Eight legged creature.
Types of quantitative data
 Discrete data has a particular fixed value. It can be counted
 Continuous data is not fixed but has a range of data. It can be measured.
Representation of Data
Bar Graph A Bar Graph represents grouped data with rectangular bars with lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally. 

Pie Chart A type of graph in which a circle is divided into Sectors that each represent a proportion of the whole. 

Line graph The line chart is represented by a series of datapoints connected with a straight line The series of data points are called ‘markers.’ 

Pictograph A pictorial symbol for a word or phrase, i.e. showing data with the help of pictures. Such as Apple, Banana & Cherry can have different numbers, it is just a representation of data. 

Histogram A diagram consisting of rectangles whose area is proportional to the frequency of a variable and whose width is equal to the class interval. 

Frequency Distribution The frequency of a data value is often represented by “f.” A frequency table is constructed by arranging collected data values in ascending order of magnitude with their corresponding frequencies. 
Formulas used
Sample Mean (\(\bar{x}\))  \(\frac{\sum x}{n}\) 
Population Mean (\(\mu\))  \(\frac{\sum x}{N}\) 
Sample Standard Deviation (s)  \(\sqrt{\frac{\sum (x\bar{x})^{2} }{n1}}\) 
Population Standard Deviation (\(\sigma\))  \(\sigma = \sqrt{\frac{(x\mu )^{2}}{N}}\) 
Sample Variance (\(s^{2}\))  \(s^{2} = \frac{\sum (x_{i}\bar{x})}{n1}\) 
Population Variance (\(\sigma ^{2}\))  \(\sigma ^{2} = \frac{\sum (x_{i} – \bar{x})}{N}\) 
Range (R)  Largest data value – smallest data value 
Click here to Download Statistics PDF
Types of Statistics
Basically, there are two types of statistics.
 Descriptive Statistics
 Inferential Statistics
In case of descriptive statistics, the data or collection of data is described in a summary. But in the case of inferential stats, it is used to explain the descriptive one. Both these types have been used in large scale.
There is one more type of statistics, where descriptive is transitioned into inferential stats.
Application
 Some of the application of statistic are given below:
 Applied statistics, theoretical statistics and mathematical statistics
 Machine learning and data mining
 Statistics in society
 Statistical computing
 Statistics applied to Mathematics or the arts
Statistics Examples
Some of the real life examples of statistics are:
 To find the mean of the marks obtained by each student in the class whose strength is 50. The average value here is the statistics of the marks obtained.
 Suppose you need to find how many members are employed in a city. But since the city is populated with 15 lacs people, hence we will take a survey here for 1000 people (sample). Based on that we will create the data, which is the statistic.
Hope this detailed discussion and formulas on statistics will help you to solve problems easier and faster. Learn more Maths concepts at BYJU’S with the help of interactive videos.
Frequently Asked Questions on Statistics
What exactly is statistics?
Statistics is a branch that deals with the study of the collection, analysis, interpretation, organisation, and presentation of data. Mathematically, statistics is defined as the set of equations, which are used to analyse the things.
What are the two types of statistics?
The two different types of statistics used for analysing the data are:
 Descriptive Statistics: It summarizes the data form the sample using indexes
 Inferential Statistics: It draws the conclusion from the data which are subjected to the random variation
How is statistics applicable in Maths?
Statistics is a part of Applied Mathematics, that uses probability theory to generalize the collected sample data. It helps to characterize the likelihood where the generalizations of data are true. This is known as statistical inference.
helpful indeed