There are infinitely many options. 1,2,3,4,5,6,63
All that you need to ensure the result is that you have 7 different numbers that sum to 7*12 = 84.
To find the missing mean in a set of data, you first need to know the sum of all the values in the data set as well as the total number of values. Once you have this information, you can calculate the missing mean by dividing the sum of all the values by the total number of values. This will give you the average value of the data set, which is the missing mean.
If a data set consists of 1000 different values can the mean and the median be the same
when there are extreme values in the data
Mean data are observations whose values are equal to the mean of the data set. By default it is the arithmetic mean but it could be the geometric or harmonic mean - if those measures are more appropriate.
The Empirical Rule states that 68% of the data falls within 1 standard deviation from the mean. Since 1000 data values are given, take .68*1000 and you have 680 values are within 1 standard deviation from the mean.
the distinct in oracle is there is no repetition of data in a query
It is the mean average of number of collected data values.
skewed
Will gve the mean average of the data
The arithmetic mean is calculated by adding together the values and dividing by how many values there are. This is distinct from the geometric mean which is calculated as the nth root of the product of the values where n is the number of values multiplied together.
It is the mean absolute deviation.
mean
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.
Mean
34.1% of the data values fall between (mean-1sd) and the mean.
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.
The Mean.