Question

relation between mean median and mode
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Answer 1

Answer:

A distribution in which the values of mean, median and mode coincide (i.e. mean = median = mode) is known as a symmetrical distribution. Conversely, when values of mean, median and mode are not equal the distribution is known as asymmetrical or skewed distribution.

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Answer 2

Mean, median, and mode are all terms used to describe the central tendency of a dataset. The mean is the average of all values in a dataset, and is calculated by adding all the values together and dividing by the number of values.

The median is the middle value in a dataset when all values are arranged in numerical order, and is often used to identify the center point of a distribution. Finally, the mode is the most frequently occurring value in a dataset and can be used to identify which value appears most often.

The relation between these three measures of central tendency is that they each provide different information about the same dataset. The mean gives an overall average of all values in the dataset, while the median identifies the center point of a distribution.

The mode indicates which value appears most often within a dataset. All three measures can be useful when analysing data and help give insight into how that data is distributed.

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