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September 18, 2014

September 18, 2014

Posted by **John** on Wednesday, May 9, 2012 at 8:14am.

Group 1: 26, 34, 46, 48, 42, 49, 74, 61, 51, 53

EX 1 : 484

Ex 1^2 : 25,024

n = 10

Group 2: 51, 50, 33, 28, 47, 50, 48, 60, 71, 42

EX 2 : 480

EX 2^2 : 24,392

n = 10

Group 3: 52, 64, 39, 54, 58, 53, 77, 56, 63, 59

EX 3 : 575

EX 3^2 : 33,925

n = 10

Group 4: 41, 49, 56, 64, 72, 65, 63, 87, 77, 62

EX 4 : 636

EX 4^2: 42,034

n = 10

- Statistics -
**MathGuru**, Thursday, May 10, 2012 at 7:21pmLet's use an example, and perhaps you can use this as a guideline for similar ANOVA problems.

Suppose we wish to establish if a difference exists between three different levels of something (it doesn't matter what it is...this is just for purposes of illustration).

Here are the values for each level:

Level 1: 0, 1, 1, 2, 2

Level 2: 1, 2, 1, 3, 3

Level 3: 3, 3, 2, 4, 3

Totals for each level are:

Level 1: 6 -->add each value in the level for a total.

Level 2: 10

Level 3: 15

Total of squared values for each level are:

Level 1: 10 -->square each value in the level, then add for total.

Level 2: 24

Level 3: 47

To calculate SS within for the ANOVA table, take (sum of total squared values) minus (sum of totals divided by number of values per level). It would look like this:

(10 + 24 + 47) - [(6^2 + 10^2 + 15^2)/5] = 8.8

SS between would be calculated this way:

(6^2 + 10^2 + 15^2)/5 - (6 + 10 + 15)^2/15 = 8.13

Note: 15 = total number of values in all levels.

SS total = SS between + SS within = 16.93

To calculate df between:

k - 1 = 3 - 1 = 2

Note: k = number of levels.

To calculate df within:

N - k = 15 - 3 = 12

Note: N = total number of values in all levels.

df total = df between + df within = 14

To calculate MS between:

SS between/df between = 8.13/2 = 4.065

To calculate MS within:

SS within/df within = 8.8/12 = 0.73

To calculate F-ratio:

MS between/MS within = 4.065/0.73 = 5.57

Therefore, the ANOVA table would look like this:

Source......SS......df....MS......F

Between....8.13......2....4.065...5.57

Within.....8.8......12....0.73

Totals....16.93.....14

I hope this example will help. It looks like you already have the values needed to do the calculations for each of your 4 groups. Remember to check the appropriate table for your critical value to compare to your F-ratio. Once you do the comparison, you will either fail to reject the null or you will reject the null. You can then form your conclusions.

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