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Statistics

What is Statistics?

Statistics is the branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It involves using statistical techniques to collect and summarize data and to draw conclusions and make predictions based on that data.

There are two main types of statistics: descriptive statistics and inferential statistics.

Descriptive statistics involves the summarization and presentation of data in a meaningful way. It includes techniques such as calculating the mean, median, and mode of a set of data, as well as creating graphs and charts to visualize the data.

Inferential statistics involves using a sample of data to make inferences or predictions about a larger population. It includes techniques such as hypothesis testing, which involves testing a statistical hypothesis about a population parameter using a sample of data. Inferential statistics also include regression analysis, which is used to model the relationship between two or more variables and to make predictions about one variable based on the value of another variable.

Overall, statistics is a useful tool for understanding and analyzing data, and it is widely used in fields such as business, economics, psychology, biology, and social sciences.

Statistics is the practice or science of collecting and analyzing numerical data in large quantities, especially for the purpose of inferring proportions in a whole from those in a representative sample. It is a 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. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal".

Statistics deals with every aspect of data, including the planning of data collection in terms of the design of surveys and experiments.[1]




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