In: Statistics and Probability
You are a nurse working in a distress center and would like to study the self-esteem of domestic violence victims. You would like to know if self-esteem is associated with education level. You know from the existing literature that self-esteem scores are generally normally distributed with homogeneous variance across education groups. The table below shows the data that you collected for a random sample of clients that recently visited your center. Let the probability of committing a type I error be 0.05. Can you conclude that there is a difference in self-esteem across the education groups? If an overall significant difference is found, which pairs of individual sample means are significant different?
Less than High School Diploma |
High School Diploma |
Some College |
Bachelor’s Degree and Above |
17 |
22 |
24 |
26 |
15 |
23 |
25 |
27 |
14 |
24 |
26 |
28 |
16 |
25 |
24 |
29 |
17 |
26 |
28 |
30 |
26 |
27 |
29 |
31 |
15 |
28 |
27 |
32 |
18 |
20 |
26 |
33 |
19 |
18 |
25 |
34 |
21 |
20 |
23 |
35 |
Less than High School Diploma | High School Diploma | Some College | Bachelor’s Degree and Above | Total | |
Sum | 178 | 233 | 257 | 305 | 973 |
Count | 10 | 10 | 10 | 10 | 40 |
Mean, sum/n | 17.8 | 23.3 | 25.7 | 30.5 | |
Sum of square, Ʃ(xᵢ-x̅)² | 113.6 | 98.1 | 32.1 | 82.5 |
Null and Alternative Hypothesis:
Ho: µ1 = µ2 = µ3 = µ4
H1: At least one mean is different
Number of treatment, k = 4
Total sample Size, N = 40
df(between) = k-1 =3
df(within) = k(n-1) =36
df(total) = N-1 =39
SS(between) = (Sum1)²/n1 + (Sum2)²/n2 + (Sum3)²/n3 + (Sum4)²/n4 - (Grand Sum)²/ N =836.475
SS(within) = SS1 + SS2 + SS3 + SS4 =326.3
SS(total) = SS(between) + SS(within) =1162.775
MS(between) = SS(between)/df(between) =278.825
MS(within) = SS(within)/df(within) =9.0639
F = MS(between)/MS(within) =30.7622
p-value = F.DIST.RT(30.7622, 3, 36) = 0.0000
Decision:
Reject the null hypothesis
Yes, we can conclude that there is a difference in self-esteem across the education groups at 0.05 significance level.
-----
Group | Sample Mean | Size |
x̅1 | 17.8 | 10 |
x̅2 | 23.3 | 10 |
x̅3 | 25.7 | 10 |
x̅4 | 30.5 | 10 |
At α = 0.05, k = 4, N-K = 36, Q value = 3.81
Critical Range, CV = Q*√(MSW/n) = 3.81*√(9.0639/10) = 3.6273
Comparison | Absolute Diff. = |xi - xj| | CR | Results |
x̅1-x̅2 | -5.5 | 3.6273 | Means are different |
x̅1-x̅3 | -7.9 | 3.6273 | Means are different |
x̅1-x̅4 | -12.7 | 3.6273 | Means are different |
x̅2-x̅3 | -2.4 | 3.6273 | Means are not different |
x̅2-x̅4 | -7.2 | 3.6273 | Means are different |
x̅3-x̅4 | -4.8 | 3.6273 | Means are different |