Calculating the Average Deviation

On average, how much does each score in this distribution vary from the mean score?

The steps for calculating the average deviation (AD) of a frequency distribution is as follows:

1. Determine the deviation scores for each score in the frequency distribution (in other words, how much does each individual score vary from the mean score?).
2. Find the sum of the deviation scores.
3. Divide the sum of the deviation scores by the total number of scores to obtain the average deviation.

Complete the table below (10 points). The first calculation is completed for you, inred, as an example.

Name	Test Score (x)	Frequency (f)	f(x)	(x-Mean)
Ronald	96	1	96
Paula	94	1	94
Henry	92	1	92
Michael	87	1	87
Valerie	85	1	85
John	84	1	84
Mary	83	1	83
Barbara	82	1	82
Bianca	79	1	79
Judy	78	1	78
Jorge	76	1	76
Vinnie	73	1	73
Diane	72	1	72
Lee-Wu	69	1	69
Uriah	69	1	69
Joe	67	1	67
Esperanza	67	1	67
Robert	66	1	66
Miriam	63	1	63
Martha	62	1	62
Leroy	61	1	61
Bill	61	1	61
Donna	51	1	51
Homer	44	1	44
Mouse	42	1	42

1. The sum of the absolute value of deviation scores =
2. The total number of scores in the frequency distribution =
3. Therefore, average deviation (AD) =