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Definition of statistics

Statistics is the science or practice of analyzing and collecting numeral data in huge quantities, mainly to reduce proportions for those in suggestive samples. It is a bench that deals with analysis, collection, presentation of data, and interpretation. It also interrupts decisions from quantitative data. It is a theory that is behind statistics on integral and differential calculus, probability theory, and linear algebra. It is used in scientific disciplines like social and physical sciences, business, government, humanities, and manufacturing. It is the part of applied mathematics which is evolved from tools like linear algebra to calculus to probability theory.

Branches of Statistics

Statistics can be classified into:

1.Descriptive statistics

In these statistics, the data is summarized via the given statements. The summary is one example of a population using parameters such as the standard deviation or mean.Descriptive statistics is a method to represent, organize and describe a group of data using graphs, tables, and summary measures. For instance, a group of people in a metropolis using the using Television or the internet. meanFour Categories of Descriptive Statistics:

Descriptive statistics is a method to represent, organize and describe a group of data using graphs, tables, and summary measures. For instance, the group of people in a metropolis using the using Television or the internet. mean

Measure of dispersion.The measure of central tendency.
Measure of frequency.Measure of position.

The number of periods particular data occurs Variance, Range, and Standard Deviation are measurements of dispersion indicate the terms of frequency measurement. It determines the stretch of data. Central tendencies are the median, mean, and mode of the data. And the measure of role describes the quartile ranks and percentile.

2.Inferential statistics

This statistic is used to analyze the definition of Descriptive statistics. That indicates once the data has been analyzed, collected, and summarised then these stats describe the importance of the collected data. it is operated to draw judgments from the data that depend on unexpected variations such as sampling variation, observational errors, etc.

Inferential Statistics is an approach that allows using of information assembled from a model to projections make decisions or inferences from a population. It presents us with approval to give statements that go beyond the available data or information. For instance, deriving calculations from hypothetical research.

Various Methodologies Of Statistics

Different methods to measure statistics

1.Descriptive methods

This method contains all preliminary steps in interpretation and the final analysis. This method involves the methods of tabulation, method of collection, measures of central tendency, measures of skewness, measures of dispersion, and analysis of time series. This brings out various interpretations of silent features, helps in summarising and different characters of data.

2.Analytical methods

This method contains all the methods that help in the comparison and analysis of variables. This contains methods of regression analysis, correlation, and association of attributes. This method is also named analytical statistics.

3.Inductive methods

This method contains all the procedures which help in the estimation and generalization of the phenomenon over the basis of partial data or random observation. This also involves the procedure of exploration, interpolation, and theory of probability. This is also called inductive statistics

4.Inferential methods

This method contains the procedures that help in drawing inferences relating to the characteristics of the population based on samples. This method involves the theory of different test significances, sampling, statistical control, etc. this is also named inferential statistics.

5.Applied methods

This method contains procedures that are related to the problems of our day-to-day lives. This involves the procedure of linear programming, statistical quality control, sample survey, and inventory control.

Applications Of Statistics

1.It helps in improved accurate description and understanding of nature’s phenomena.

2.It helps in the efficient and proper planning of this field of study.

3.It helps in collecting quantitative data appropriately.

4.It helps in understanding the pattern and nature of variability.

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