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.
You can calculate the mean, median, and std dev for discrete or continuous data. Each type has its own set of formulas.
No, not all data sets have a mode but all data sets have a mean and median.
You can estimate the median and the mean.
You can calculate the mode, mean and median of any set of integers.
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 used when reporting ordinal data.
In the same way that you calculate mean and median that are greater than the standard deviation!
the median and mode are but the mean is not
mean~ all the numbers in the data added together divided by the number of data. The mean is the same as the average. median~ the exact middle of the set of data. Example: 1,1,2,2, the median is 1.5 mean- the average median- the middle number in a set of numbers in a group.Example of Median-1,3,5,7,9,4,5 (put them in order and list them from least to greatest)1,3,4,5,5,7,9the median is 5!
mean~ all the numbers in the data added together divided by the number of data. The mean is the same as the average. median~ the exact middle of the set of data. Example: 1,1,2,2, the median is 1.5 mean- the average median- the middle number in a set of numbers in a group.Example of Median-1,3,5,7,9,4,5 (put them in order and list them from least to greatest)1,3,4,5,5,7,9the median is 5!
The population data may be skewed and thus the mean is not a valid statistic. If mean > median, the data will be skewed to the right. If median > mean, the data is skewed to the left.
No.