Variability is determined by the how numbers are distributed across the set of numbers. There are several ways of measuring this the most common is standard deviation. To find standard deviation you first find the average of the set by adding them all up and dividing by the amount of numbers in the set. Then you find the square of each number in the set minus the average. You add all these values up, multiply them by 1/the number of items in the set, and take the square root. As an example the set {2,5,3,6} has much less variability as measured by the standard deviation than {2000,-1000,-500,484} even though they both have the same average. The firsts average is (2+5+3+6)/4 or 4. The standard deviation is
the square root of(((2-4)^2+(5-4)^2+(3-4)^2+(6-4)^2)*1/4) or about
1.58113883. The standard deviation of the second set that has the same average as the first is the square root of (((2000-4)^2+(-1000-4)^2+(-500-4)^2+(484-4)^2)*1/4) or 1170.09059.
statistics
In statistics numerical data is quantitative rather than qualitative.
Numerical data is numbers. Non-numerical data is anything else.
it is a numerical arranged order im a high school teacher
Yes you can. But, first, you need to order the number set from least to greatest.
A set of numerical data is called a dataset.
It means that there is little variability in the data set.
The IQR gives the range of the middle half of the data and, in that respect, it is a measure of the variability of the data.
statistics
Variability and Central Tendency (Stats Student)
In statistics numerical data is quantitative rather than qualitative.
Yes.
The range, inter-quartile range (IQR), mean absolute deviation [from the mean], variance and standard deviation are some of the many measures of variability.
Numerical data is numbers. Non-numerical data is anything else.
mode, mean and median
Median
Median