Question

In: Statistics and Probability

You are a nurse working in a distress center and would like to study the self-esteem...

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

Solutions

Expert Solution

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

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