For the set 3 4 5 8 5, the mean median and mode all have the same value.
In a normal distribution the mean, median and mode are all the same value.
All three increase by that same value.
The Mean is the average of a given set of values. The Median is the value that has the same number of smaller values than the number of higher values, it is in the middle of them. In a symmetrical distribution the Mean is equal to the Median. In an asymmetrical distribution they have different value.
The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5
Yes because if the numbers are all the same they can be both mean and median but they do not have to be the same.
5,6,7
That would provide some evidence that the distribution is symmetric about the mean (or median).
That would provide some evidence that the distribution is symmetric about the mean (or median).
For the set 3 4 5 8 5, the mean median and mode all have the same value.
In a normal distribution the mean, median and mode are all the same value.
Your single number is your only information of the median value of the population, so the median value is the same as your single number. It is also the mode and mean of your sample.
All three increase by that same value.
The Mean is the average of a given set of values. The Median is the value that has the same number of smaller values than the number of higher values, it is in the middle of them. In a symmetrical distribution the Mean is equal to the Median. In an asymmetrical distribution they have different value.
The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5
Mean = average and median = the middle value in an array of all values received. So to answer your question the 50th percentile of a distribution is the same as median.
If the two numbers are the same value, then that is the median.