To answer this question I will use an example.
Data set: 10, 20, 30, 40, 50.
First find the sum of all the numbers...so 10+20+30+40+50= 150.
Then you take the sum (150) and divide it by the number of numbers in the data set. So 150 divided by 5 (the number of numbers in this data set) = 30.
30= the mean of the above data set.
Finding the mean is pretty simple. :)
First, you add all of the numbers in the set together. Then, you divde the sum by however many numbers there are in the set of data. Your quotient is the average/mean.
The range = the difference between the highest and the lowest values in the data set. For example if I had a data set like this: 10, 20, 30, 40, 50 50 is the highest number and 10 is the lowest number. 50-10= 40. 40= the range of the above data set.
take the max plus the min and divide the anser by to
No. Here's one set of data where the mean is not one of the values: a set of 250,000 numbers. 125,000 of them are "1", 125,000 are "3". The mean of this data set is "2", which is not among the data.
It is misleading to use the mean as a descriptor of a data set when the median or mode would be more representative of the data set as a whole.
take the sum of all the numbers ∑xand divide it by the number of numbers in the data set. nor ∑x/n
to find the mean of a set of numbers you have to find the total sum of the data divided by the number of addends in the data.
The mean of a set of data is the sum of that data divided by the number of items of data.
Th find the mean of a data set, you add up all the values in the data set and divide this sum by the number of data values. For example, the mean for the data set 2, 5, 6, and 7 is given as 2 plus 5 plus 6 plus 7, which is 20. You divide this sum by number of values in the data set, which is 4 to get 5 as the mean.
when there are extreme values in the data
The mean of a set of data is the sum of all those data values, divided by the numbers of values in the set. For instance, if we had 1, 3 and 5, the mean would be (1+3+5)/3 = 3. The mean doesn't always have to be one of the data points in the set. For instance, if we had the data 1, 6, 7, 7, 8. The mean would be (1+6+7+7+8)/5 = 5.8, even though 5.8 isn't one of the values in the set.
First, you add all of the numbers in the set together. Then, you divde the sum by however many numbers there are in the set of data. Your quotient is the average/mean.
It is one of the key measures of a data set: it shows the value around which the observations are spread out.
You can estimate them both.
You can estimate them both.
You can use the mean to answer some statistical questions: it is a measure of the central tendency of a set of data. However, it is no good in identifying the maximum value of a set of data, for example.
Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.