Measures of Variablity Flashcards
Including MAD (13 cards)
What are measures of variablity
Measures of variability describe how spread out or dispersed a set of data points is
It can also be describe as how much data DEVIATES from each other
What is MAD
MAD stands for Mean Absolute Deviation, which is a measure of variability that indicates how much individual data points deviate from the mean of a dataset
What is IQR
IQR is known as Interquartile Range
IQR is a measure of variability that splits data into four equal quartiles. It represents the middl eof the data
What is range?
Describes the spread of the data
More specifically, it describes how far the spread of the data is. For example if the data was 10, 39, 25, then the range would be 10-39
How do you find range
subtract the biggest number from the smallest number
How do you find MAD
- Find the mean of the data set
- Find the distance from each data point and the mean
- Find the average of those distances
For #2, just subtract the mean from each data point, then add the distances.
For #3, just divide the total number by the number of data points
How do you find IQR
- Ordering the data from least to greatest
- Finding the median
- Finding the meadian of the lower and upper quartiles
- Subtracting the upper quartiles median (Q3) - the lower quartiles median (Q1)
What is Mean?
(In MAD, mean absolute deviation)
Referring to mean in statistics, the average of all the numbers
in MAD, you have to find the mean
What is Absolute?
(In MAD, mean absolute deviation)
Absolute is referring to Absolute zero, the distance between a number and zero
In this part of MAD, when you subtract the numbers, it must be positive, and include the brackets (|x|)
What is deviation?
(In MAD, mean absolute deviation)
The spread of the data
In this part of mad, you subtract the mean from each number in the data set
What is Q1
The median of the lower quartile (seperated by the median for the entire dataset)
What is Q2
The median
What is Q3
The median for the upper quartile (seperated by the median for the entire dataset)