Emp NoEmployee Name StatusService YearsSalary
22Richardson, Deborah Half-Time 1 46,105
3Howell, Douglas Full Time 2 37,020
5Hunt, Norman Hourly 2 23,692
10Burnett, Kevin Full Time 2 73,030
15Myers, Marc Half-Time 2 11,230
17Dyer, Carrie Half-Time 2 23,380
12Wright, Brad Full Time 3 48,280
14Norton, Bruce Half-Time 5 17,205 Average 8.68
18Ramirez, Keith Contract 6 43,320 Median 8
1Ware, David Contract 7 68,510 Mode 2
19Swanson, Vicki Full Time 7 74,710
20Kirk, Chris Full Time 7 73,850
23Kemp, Holly Full Time 8 42,800
2Kennedy, Kimberly Contract 9 76,930
8Thomas, Shannon Full Time 9 65,910
24Morales, Linda Full Time 9 72,830
16Snyder, Duane Full Time 11 71,380
4Vaughn, Harlon Contract 12 64,590
7Briggs, Bryan Half-Time 12 48,415
9Schultz, Norman Full Time 12 68,520
11Sullivan, Robert Contract 14 80,690
6Rogers, Colleen Full Time 18 49,260
25Espinoza, Derrell Full Time 18 34,990
21Juarez, Neill Contract 19 59,330
13Booth, Raquel Half-Time 20 19,935
Service Years
After sorting by Service Years you can see that the Median is the number in the middle of a set of
numbers. There are 12 people with a service lower than 8 and 12 people with a service greater than 8
years.
The MODE function
Another statistical function is MODE. In the same example the Mode of the Service Years is 2. This is the
most common service for the 25 employees. If there were other years which are equally common then
MODE returns the first one searching from top to bottom. There is also new function to deal with
multiple mode values called MODE.MULT. This is an Array function which will be mentioned in a later
module on Array functions.
The LARGE and SMALL functions.
In addition to the MAX or MIN functions that calculate the highest and lowest value in a range, the
functions LARGE and SMALL find the second, third or any given rank within a range of values. In the
example above: