the median is the middle value of a set of numbers. Thus if you wanted to find the median of a group of numbers, you can organize them in numerical order, and find which is the middle term (if it is an even set of numbers, in which you have two middle numbers, add the two together and than divide it by 2).
no.
The median is 5.The median is 5.The median is 5.The median is 5.
Median cannot be used for qualitative data (a mode can).The sampling distribution of the median is complicated (the mean is well studied).Median can usually be used for data that can be ordered without there being a ratio scale. For example, "small-medium-large", or "very negative-negative-neutral-positive-very positive". A mean cannot be calculated without arbitrarily assigning a numerical value to the terms.A median is not dependent on all the values which means that it is not distorted by outliers (extreme values).It is easy to find the median value from cumulative frequency charts.
The median is 28.The median is 28.The median is 28.The median is 28.
The median is 19, although finding the median of a single value is a pointless exercise.
no.
No.
The median can be calculated using the Median function. Assuming the values you wanted the median of were in cells B2 to B20, you could use the function like this: =MEDIAN(B2:B20)
No. The mean and median are not necessarily the same. They will be the same if the distribution is symmetric but the converse is not necessarily true. That is to say, a distribution does not have to be symmetric for the mean and median to be the same. For example, the mean and median of {1, 1, 5, 6, 12} are both 5 but the distribution is NOT symmetric.
Yes, the median can be a value that does not belong to the dataset. This often occurs in datasets with an even number of values, where the median is calculated as the average of the two middle values. For example, in the dataset {1, 2, 3, 4}, the median is (2 + 3) / 2 = 2.5, which is not a member of the dataset.
It might not be statistically representative of the population. However, the sample median can still be calculated as the value which is equal to or greater than half of the population.
In a set of data, there is always one median, which represents the middle value when the data is sorted in order. If the dataset has an odd number of values, the median is the single middle number. If the dataset has an even number of values, the median is calculated as the average of the two middle numbers. Thus, regardless of the dataset's size, there is always one median.
Ah, the median and the midpoint are both ways to find the middle of a set of numbers, but they are calculated differently. The median is the middle number when the numbers are ordered from least to greatest, while the midpoint is the exact middle point between two endpoints. Both are beautiful ways to find balance and harmony in our mathematical landscapes.
Deviations are calculated from some value: the mean, the median, the maximum or whatever. You subtract that value from each observed value.
The median is 5.The median is 5.The median is 5.The median is 5.
Median cannot be used for qualitative data (a mode can).The sampling distribution of the median is complicated (the mean is well studied).Median can usually be used for data that can be ordered without there being a ratio scale. For example, "small-medium-large", or "very negative-negative-neutral-positive-very positive". A mean cannot be calculated without arbitrarily assigning a numerical value to the terms.A median is not dependent on all the values which means that it is not distorted by outliers (extreme values).It is easy to find the median value from cumulative frequency charts.
In statistics, the median is defined as the middle value in a data set when it is ordered from least to greatest. If there is an even number of observations, the median is calculated as the average of the two middle values. In cases where the data set has repeated values, the median remains a single value representing the central tendency, regardless of how many times certain values appear. Thus, while there can be multiple modes (most frequently occurring values), the median itself will still be a unique value.