The mean of the data set: 10, 30, 50, 70, 80, 90
What is 55?
The median of the data set: 10, 20, 30, 40, 50, 60, 70, 80, 90
What is 50?
The range of the data set: 1, 3, 8, 14, 22, 35
What is 34?
The average of set of data.
Data is skewed left, what is the appropriate measure of center?
Median
The mean of the data set: 2, 3, 8, 14, 20, 31
What is 13?
The range of the data set: 11, 27, 18, -4, 12, -6, -5, 9
What is 33?
The difference between the greatest and least values of a data set.
Data is skewed right, what is appropriate measure of variability?
IQR
The interquartile range of the data set: 1, 3, 8, 14, 22, 35
What is 19?
Data is uniformed/symmetric, what is the appropriate measure of center?
mean
The difference between the first and third quartiles of a data set. It represents the spread of the middle 50% of the data.
What is the interquartile range (IQR)?
Data is uniformed, what is appropriate measure of variability?
Range
The median of the data set: 3.6, 10, 7.4, 5.3, 8.8, 6.1
What is 6.75?
The interquartile range of the data set: 32, 8, 18, 42, 25, 28, 36, 15
What is 17.5?
a grouping or set of data points that are closely packed together, forming a distinct group on a graph or table
Cluster
How does outliers affect mean, median, mode, range, and IQR of your data set?
Outliers especially extreme values, can dramatically pull the mean towards them, skewing the average
The median is generally less affected by outliers than the mean because it only considers the middle value(s);
The mode, being the most frequent value, is also typically not as affected by outliers.
The range, being the difference between the maximum and minimum values, is highly sensitive to outliers.