Study guides

☆☆

Q: Four numbers have a mean of 10 and a median of 10 but none of the numbers is 10?

Write your answer...

Submit

Still have questions?

Related questions

Mean: 50.6 Median: 42 Range: 85 Mode: None (all numbers occur with same frequency)

mean: 1.7 median:1.7 mode: none

Mean: 71 Median: 67.5 Mode: None Range: 28

none

None of those four numbers are prime numbers.

Mean = 22.428571... Median = 25 Mode = every one of the seven numbers: they appear more often than numbers such as 10, which do no appear at all. Medium: None; it is not a statistical measure.

median

None - as long as the ouliers move away from the median - which they should.

None of them is "more accurate". They are answers to two different questions.

The answer depends on the context: a circle has one centre, a triangle has four (centroid, incentre, orthocentre, circumcentre), some shapes have none, statistical (or probability) distributions have two: mean and median (the mode is not necessarily central).

The mean is the average of the numbers when they are added together and divided by the total numbers given. For example, start with the numbers 1, 3, 5, 7, 9. Add them together to get 25. Divide by 5 because that is how many numbers are listed. The mean is 5. The median is the number in the middle. In this case, the 5 is in the middle, so it is the median. If these numbers, 1, 3, 5, 7 were listed, none of them are exactly in the middle, so the median would be the average of 3 and 5, or 4. The mode is the number that appears the most often. In this case, each number appears only once, so there is no mode. If these numbers were listed, 4. 5, 5, 6, 7, 7. 7 were listed, 7 occurs the most, so it would be the mode. If two or more numbers are listed more than once the same amount of times, the numbers listed the same amount of times are the modes. For example: 4, 5, 5, 5, 6, 7, 7, 7: both 5 and 7 would be the modes.

The three are different measures of central tendency. None of them are substitutes for the other and, except in symmetric unimodal distributions, none of them can be used to estimate another.

People also asked