NO mean: (average)add all the numbers, then divide by how many numbers you added!!
Median: you have to put allthe numbers in order and then get the middle number and if there are two middle numbers add them and divide them by two!!
Either can be used for symmetrical distributions. For skewed data, the median may be more a appropriate measure of the central tendency - the "average".
The median is 19, although finding the median of a single value is a pointless exercise.
A median can have only one value.
Yes. Central tendency is the way data clusters around a value. Even if the distribution of the value is skewed, the median would be the best indicator of central tendency because of the way the data is clustered.
The question is how do the mean and median affect the distribution shape. In a normal curve, the mean and median are both in the same point. ( as is the mode) If a distribution is skewed, its tail is either on the right or the left. If a distribution is skewed the median may be a better value to use than the mean since it has less effect on the shape. Also is there are large outliers, the median has less effect and is better to use. So the mean has a bigger effect on the shape many times than the median.
Either can be used for symmetrical distributions. For skewed data, the median may be more a appropriate measure of the central tendency - the "average".
median
Median is your answer
The median is a measure of central tendency. In a set of data, it is the value such that half the observed values are larger and half are smaller.
yes is it the median?
It is the mode, which is sometimes introduced, along with the mean and median as a measure of "central tendency".
The median is 5, because two values (2 and 2) are less than 5, and an equal number of values (8 and 9) are greater than 5. Generally speaking, the median is more informative than the average (mean), although a proper calculation of a "typical value" of a list of values depends on what the typical value will be used for.
For a set of data, the 50% percentile measure is the median. I've seen this referred to as the P50 measure. It is also referred to as the "d5" measure or the fifth decile. or Q2 measure of the second quartile. See related links.
The median.
The median or mode should be used instead of the mean in distributions with extreme outliers. In such cases, the mean can be a misleading measure of central tendency and the median value or the mode value are typically more accurate measures.
median
No. In a very skew distibution, a "typical" value would be at one end or the other, certainly not the centre.