It all boils down to employing the proper statistical analysis procedures, which are used to process and collect data samples in order to find patterns and trends. There are five options for this analysis: mean, standard deviation, regression, hypothesis testing, and sample size estimation.
The following three factors influence the statistical approach chosen: the study's goal and objective, the type and distribution of the data utilised, and the nature of the observations (paired/unpaired).
Descriptive and inferential statistics are the two forms of statistics.
Descriptive statistical analysis.
Inferential statistical analysis.
Associational statistical analysis.
Predictive analysis.
Prescriptive analysis.
Exploratory data analysis.
Causal analysis.
Data collection.
A statistical test is a tool that allows you to make quantitative conclusions about a process or set of activities. The goal is to see if there is enough information to "reject" a theory or hypothesis about how the process works. The null hypothesis is the name given to this idea.
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Umashankar
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1.easy to understand all topic
2.cover all topic
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Akash Sambhaji
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plz provides all notes
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Jamil Akhtar
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plzz provide notes....
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Sunita Singhal
5
please provide notes also in pdf
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Montu Mali
4
nice ☺️👍
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Abdul Samed
5
please provide course notes
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Shashi Kumar
5
great resource to learn data science in hindi. but in this particular video lecture there is a mistake....actually mutually exclusive event can never be independent event.
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Nikhil Fapale
5
it really amazing to study....and easily understand difficult concepts...i hope you make more video on like power bi and nueral network model....its really helpful....thank you for these
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