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.
Exploratory data analysis.
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.
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.
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
please provide course notes
Prakash Suresh Lokhande
Great. please provide pdf notes
MD Mishkat Ahsan
plzz provide pdf notes also
Mujhe ye link Sanjeev Sir k ek vedio se mili.. & i am very happy to watch this vedio..
& my all doughts are clear..