Statistical analysis is meant to collect and study the information available in large quantities. Statistics is a branch of mathematics, where computation is done over a bulk of data using charts, tables, graphs, etc.
Types of Statistics in Maths
Statistics have majorly categorised into two types:
Descriptive statistics => Descriptive statistics is a way to organise, represent and describe a collection of data using tables, graphs, and summary measures.
Inferential statistics => Inferential Statistics is a method that allows us to use information collected from a sample to make decisions, predictions or inferences from a population. It grants us permission to give statements that goes beyond the available data or information
Statistics simply means numerical data, and is field of math that generally deals with collection of data, tabulation, and interpretation of numerical data. It is actually a form of mathematical analysis that uses different quantitative models to produce a set of experimental data or studies of real life.
Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied
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Statistical analysis is meant to collect and study the information available in large quantities. Statistics is a branch of mathematics, where computation is done over a bulk of data using charts, tables, graphs, etc.
Types of Statistics in Maths
Statistics have majorly categorised into two types:
Hope it's helpful for u
Answer:
Statistics simply means numerical data, and is field of math that generally deals with collection of data, tabulation, and interpretation of numerical data. It is actually a form of mathematical analysis that uses different quantitative models to produce a set of experimental data or studies of real life.
Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied