This page let's you quickly calculate mean and three measures of variation based on a small sample of 6 subjects. Use the tab key to go to the first data box. Enter a score, then tab again to go to the next box. And so on. Notice that you are also shown the squared deviation scores for each individual.

([g1s1]+[g1s2]+[g1s3]+[g1s4]+[g1s5]+[g1s6])/6

([g1s1]-[meangroup1])**2

([g1s2]-[meangroup1])**2

([g1s3]-[meangroup1])**2

([g1s4]-[meangroup1])**2

([g1s5]-[meangroup1])**2

([g1s6]-[meangroup1])**2

[dev2g1s1]+[dev2g1s2]+[dev2g1s3]+[dev2g1s4]+[dev2g1s5]+[dev2g1s6]

In order to calculate measures of variation you first need to know the mean.

Mean: .00

[meangroup1]

N: .00

6

df: .00

6-1

Below you'll find the squared deviation score for each person. You can check these mentally by subtracting the mean from each individual score, then squaring that result.

S1: .00

[dev2g1s1]

S2: .00

[dev2g1s2]

S3: .00

[dev2g1s3]

S4: .00

[dev2g1s4]

S5: .00

[dev2g1s5]

S6: .00

[dev2g1s6]

Below you will find the key variation measures.

SS: .00

[SS]

s^2: .00

[SS]/5

SD: .00

sqrt([SS]/5)

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