Yes, every dataset with at least one value has a median characteristic, which represents the middle value when the data is ordered. If the dataset has an odd number of values, the median is the middle one, while if it has an even number of values, the median is the average of the two middle values. The median is a useful measure of central tendency, especially in skewed distributions, as it is less affected by extreme values compared to the mean.
There's is always going to be a median. Never is there not going to be a median.
the median and mode are but the mean is not
characteristics of mean
It is easy to get a median with an odd amount of numbers, as there will always be one number in the middle of the list. So, for example, if you have 7 numbers, n1, n2, n3, n4, n5, n6, n7, the 4th number is always the median, so n4 would be the median value in this case.
No.
One of the characteristics of mean when measuring central tendency is that when there are positively skewed distributions, the mean is always greater than the median. Another characteristic is that when there are negatively skewed distributions, the mean is always less than the median.
There's is always going to be a median. Never is there not going to be a median.
the median and mode are but the mean is not
characteristics of mean
No, not always. Median is the number that's in the middle of a group of numerical data. Mean is just the average of a set of numbers, which isn't always in the middle.
yes
Yes.
mode, mean and median
Yes, the median is always a number. For qualitative data, use the mode for a measure of center.
FALSE
FALSE
It is easy to get a median with an odd amount of numbers, as there will always be one number in the middle of the list. So, for example, if you have 7 numbers, n1, n2, n3, n4, n5, n6, n7, the 4th number is always the median, so n4 would be the median value in this case.