The frequency distribution, central tendency, and variability of a dataset are the three primary categories of descriptive statistics.
Descriptive statistics are used to meaningfully and usefully describe or summarise data. Knowing that all of the participants in our case wore blue shoes, for example, would be useless. However, it would be useful to know how evenly their anxiety levels were distributed.
Descriptive statistics can be used for two things: providing basic information about variables in a dataset and highlighting potential correlations between variables. The three most frequent descriptive statistics, which can be seen visually or pictorially, are: Methods that are graphical or pictorial.
There are two types of descriptive statistics:
Central Tendency Measures (Mean, Median, and Mode).
Dispersion or Variation Measures (Variance, Standard Deviation, Range).
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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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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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