If there is an odd number of values, the median is the one in the middle;
otherwise there are an even number of values and the median is the mean of the middle two.
If all the values have the same frequency, there is no mode.
As no numerical calculation is done to the items themselves, the mode average can be used with non-numeric datasets, for example a survey of favourite colours - the most popular colour(s) (that is the ones with the highest count) will be the modal colour(s).
For example:
Consider the values: 2, 5, 4, 9, 8, 9, 2, 4, 2
Mean:
(2 + 5 + 4 + 9 + 8 + 9 + 2 + 4 + 2) / 9 = 45 / 9= 5
Median:
sorted: 2, 2, 2, 4, 4, 5, 8, 9, 9
9 values, so middle one is the 5th value = 4
Mode:
Frequencies: 2 (3), 4 (2), 5 (1), 8 (1), 9 (2)
Highest frequency: 3 for value = 2
Now consider: 2, 5, 4, 9, 8, 9, 2, 4, 2, 5
Mean:
(2 + 5 + 4 + 9 + 8 + 9 + 2 + 4 + 2 + 5) / 10 = 50 / 10 = 5
Median:
sorted: 2, 2, 2, 4, 4, 5, 5, 8, 9, 9
10 values, so want the mean of the middle two. The middle two are the 5th and 6th values = 4 & 5; so median = (4 + 5) / 2 = 9 / 2 = 4.5
Note that in this case, the median is not one of the values.
Mode:
Frequencies: 2 (3), 4 (2), 5 (2), 8 (1), 9 (2)
Highest frequency: 3 for value = 2
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.
If a data set consists of 1000 different values can the mean and the median be the same
Yes, the median can be greater than the mean. It just depends on the values of the data. A simple series of 1,5,6 has 5 as the median, with a mean of 4.
Of a set of data the mode is the most, the median is the middle value in ascending order and the mean is the sum of the values divided by the number of values.
Mean = average formed by adding values together and dividing by the total number of values Mode = the most popular value Median = line up all values in order and take the middle value
What is the answer
Yes. If the lower values tend to be farther below the median than the highest values are above the median, the mean is smaller than the median. why are write wrong
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.
If a data set consists of 1000 different values can the mean and the median be the same
Any set of numbers can have only one mean and only one median but it can have as many modes as it has values.
If it is a symmetric distribution, the median must be 130.
You may be confusing mean with median. An arithmetic mean is, the sum of all the values ÷ the number of values. Consequently the number of values can be either odd or even. After arranging a set of values in ascending (or descending) order, the median is the value that lies half way along the series. When there are an even number of values the median is found by taking the mean of the middle two values. Example : 3, 5, 5, 7, 8, 8 The median of this set is (5 + 7) ÷ 2 = 6
Yes, the median can be greater than the mean. It just depends on the values of the data. A simple series of 1,5,6 has 5 as the median, with a mean of 4.
It is the value of all numbers in the range in which there are as many values above it as there are below it. For example for the ordered values 1,3,7,9,10,12,15,19,21 the median value is 10. It is not he same as the mean, or average, which is the sum divided by the number of values.
Of a set of data the mode is the most, the median is the middle value in ascending order and the mean is the sum of the values divided by the number of values.
Both the mean and median represent the center of a distribution. Calculating the mean is easier, but may be more affected by outliers or extreme values. The median is more robust.
mean, median and mode