No.
There is only 1 middle value.
If there are an odd number of elements in the data set, the median is the middle one;
Otherwise there are an even number of elements in the data set and the median is the mean average of the middle two (add them together and divide by 2).
The median value can occur more than once in the data set, eg in {2, 5, 5, 5, 6, 7} the median is 5 ((5 + 5)/2 = 5) with a frequency of 3, but it is still only one value.
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No and a single number cannot have a median either you need a series (at least two) to have a median.
Median is the middle number in a group of numbers. If there more than one middle number, the median is either shown as average of the two numbers in the middle or shown as both the numbers. The median in 23 24 26 29 is 25 or {24;26}.
There are infinitely many possible sets. One such is {6,7,14}
The median of a set of data is used for similar purposes as the mean. They both give you a middle number that represents what the set of data fluctuates around. While the mean gives you the exact center, the median simply gives you the middle piece of data. The following is an example of why the median is sometimes more helpful than the mean: Consider a class of 5 students that take a test that is scored on a scale of 0 to 500. The scores of the students are as follows: 1) 25 2) 120 3) 102 4) 248 5) 500 The mean of the scores is (25+120+102+248+500)/5 = 199 The median of the scores is 120 Looking only at the mean, the teacher may get the impression that the students are more skilled than they really are, since the average score of the class is 40% of the highest possible score. However, one student scored only 49 points higher than the mean and the other 3 didn't get within 70 points of it. Looking at the median, the teacher sees that another accurate representation of the scores is 120. This is only 24% of the highest possible grade and better represents what most of the class got. Unlike the mean, the median wasn't set deceivingly high by the one student with a perfect score.
Yes, any data point outside thestandard deviation its an outlier