# In a moderately asymmetrical distribution, the mode and mean are 32.1 and 35.4 respectively. Find out the value of median

**In a moderately asymmetrical distribution:-**In a moderately asymmetrical distribution, the mode and mean
are not equal, indicating that the data is not symmetrically distributed around
the center point. This type of distribution is also known as a skewed
distribution. In this case, we are given the mode and mean of the data, and we
are required to find the value of the median.

**In a moderately asymmetrical distribution:-**ITo understand how to calculate the median, let's first define
what it is. The median is the middle value in a dataset when the values are
arranged in ascending or descending order. It is a measure of central tendency
that is less affected by outliers compared to the mean.

In a moderately asymmetrical distribution, the median is
typically located between the mode and the mean. The exact position of the
median will depend on the degree of asymmetry of the distribution. If the
distribution is moderately skewed, the median will be closer to the mode than
the mean. If the distribution is highly skewed, the median will be further away
from the mode.

- To calculate the median in this case, we need to use a formula that takes into account the mode, mean, and skewness of the distribution. One such formula is:
- Median = Mode + 2(Mean - Mode)
- Using the given values, we can substitute them into the formula as follows:
- Median = 32.1 + 2(35.4 - 32.1) Median = 32.1 + 2(3.3) Median = 32.1 + 6.6 Median = 38.7

Therefore, the value of the median in this moderately asymmetrical
distribution is 38.7.

In conclusion, a moderately asymmetrical distribution is one
in which the mode and mean are not equal, indicating that the data is skewed.
To calculate the median in such a distribution, we can use a formula that takes
into account the mode, mean, and skewness of the data.

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__What is moderately asymmetrical distribution.__

**In a moderately asymmetrical distribution:-**A moderately asymmetrical distribution is a type of
distribution that is not perfectly symmetrical, but rather shows some degree of
skewness or asymmetry. In this type of distribution, the mean, median, and mode
are not equal to each other, and are generally shifted to one side of the
distribution.

**In a moderately asymmetrical distribution:-**Specifically, a moderately asymmetrical distribution is one
in which the degree of skewness is moderate, meaning that the tail on one side
of the distribution is longer than the tail on the other side, but the difference
is not extreme. This can occur in a variety of situations, such as when there
are outliers or when the data is clustered around a particular point.

To identify a moderately asymmetrical distribution, one can
look at the shape of the frequency distribution graph, which shows the
distribution of values for a particular variable. In a moderately asymmetrical
distribution, the graph will appear to be shifted to one side, with more values
clustered around one end of the graph than the other.

**In a moderately asymmetrical distribution:-**Examples of real-world situations that may exhibit moderately
asymmetrical distributions include income levels, where there may be a large
number of people with low to moderate incomes and fewer people with very high
incomes, or test scores, where there may be a few outliers who score much
higher or lower than the majority of test-takers.

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