Traditional Statistics

 Traditional Statistics Activity





There are two types of traditional statistics which draw conclusions from data and also analyse the data however they are quite different. First are descriptive statistics which involves the organisation, summarization and presentation of data in a meaningful way and it basically aims to describe the main features of a dataset without making any kind of interference's about the larger population for example graphical representations with bar charts, pie charts and histograms. The second type is called Inferential statistics which involves drawing conclusions and making predictions about a population based on a sample of data from said population but in other words it uses probability to make inferences about the characteristics of a population from a limited set of observations or data and a good example of this is Hypothesis testing which is examining whether there are significant differences or relationships between variables in a population based on a sample of data.

In conclusion descriptive statistics provide a summary of key features of a dataset, while inferential statistics allow researchers or companies to make predictions or draw conclusions about a population based on a sample. Both of these kinds of statistics play a big role in the understanding and interpreting of datasets in various fields which include medical, science, and economics. 

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