"The statistical metric that identifies a single value as representative of an entire distribution," according to the definition of central tendency. Its goal is to provide a complete description of the data. It's the single value that most closely resembles/represents the data.
The mean, median, mode, and midrange are the four measurements of central tendency. The arithmetic mean of the highest and minimum values in a data collection is the mid-range or mid-extreme of a set of statistical data values.
When the distribution of data values is symmetrical and there are no obvious outliers, the mean is the best option. When the distribution of data values is skewed or there are obvious outliers, the median is the best option.
Because it averages all of the values in the data set, the mean is the most commonly used measure of central tendency. The median is better than the mean for data from skewed distributions since it is unaffected by exceptionally big numbers.
Numbers that tend to cluster around the "centre" of a collection of values are known as measures of central tendency. The mean, median, and mode are three examples of middle numbers.
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plz provides all notes
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please provide notes also in pdf
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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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