Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sept | Oct | Nov | Dec |
67.2 | 68.5 | 71.7 | 75.2 | 78.7 | 81.4 | 82.6 | 82.8 | 81.9 | 78.3 | 73.6 | 69.1 |
Compare the mean and median of the data.
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sept | Oct | Nov | Dec |
67.2 | 68.5 | 71.7 | 75.2 | 78.7 | 81.4 | 82.6 | 82.8 | 81.9 | 78.3 | 73.6 | 69.1 |
Find the interquartile range of this data.
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sept | Oct | Nov | Dec |
67.2 | 68.5 | 71.7 | 75.2 | 78.7 | 81.4 | 82.6 | 82.8 | 81.9 | 78.3 | 73.6 | 69.1 |
If the average temperature in August were changed to 85°F, how would the mean and median change?

What type of correlation is depicted with this graph?

What age, in years, has produced the most finalists?
Hint: This problem is trickier than it seems. There are four 16 year-olds, eight 17 year-olds, two 18 year-olds, and so on.
Find the median of the data set.
What percentage of the students has a GPA above 2.0?
What is the mode of this data?
Which score(s) is an outlier?