Question

In: Statistics and Probability

An educational psychologist has developed a meditation technique to reduce anxiety. The psychologist selected a sample...

An educational psychologist has developed a meditation technique to reduce anxiety. The psychologist selected a sample of high anxiety students that are asked to do the meditation at two therapy sessions a week apart. The participants' anxiety is measured the week before the first session and at each subsequent session. Below are the anxiety scores for the participants. What can the psychologist conclude with α = 0.05?

before session 1 session 2
9
6
8
2
8
6
9
6
8
7
7
6
7
6
9
7
7
7
6
5
5
4
5
6
5
5
4





b) Obtain/compute the appropriate values to make a decision about H0.
critical value = _____________ ; test statistic = _____________
Decision:  ---Select--- Reject H0 Fail to reject H0

c) Compute the corresponding effect size(s) and indicate magnitude(s).
η2 = _____________ ;  ---Select--- na trivial effect small effect medium effect large effect

d) Make an interpretation based on the results.

1)At least one of the sessions differ on anxiety.

2)None of the sessions differ on anxiety.    


e) Regardless of the H0 decision, conduct Tukey's post hoc test for the following comparisons:
2 vs. 3: difference = ________ ; significant:  ---Select--- Yes No
1 vs. 3: difference = _________ ; significant:  ---Select--- Yes No

Solutions

Expert Solution

treatment A B C D
count, ni = 9 9 9
mean , x̅ i = 6.889 7.00 5.000
std. dev., si = 2.205 0.866 0.707
sample variances, si^2 = 4.861 0.750 0.500
total sum 62 63 45 170 (grand sum)
grand mean , x̅̅ = Σni*x̅i/Σni =   6.30
square of deviation of sample mean from grand mean,( x̅ - x̅̅)² 0.351 0.495 1.680
TOTAL
SS(between)= SSB = Σn( x̅ - x̅̅)² = 3.160 4.457 15.123 22.74074074
SS(within ) = SSW = Σ(n-1)s² = 38.889 6.000 4.000 48.8889

no. of treatment , k =   3
df between = k-1 =    2
N = Σn =   27
df within = N-k =   24
  
mean square between groups , MSB = SSB/k-1 =    11.3704
  
mean square within groups , MSW = SSW/N-k =    2.0370
  
F-stat = MSB/MSW =    5.5818

anova table
SS df MS F p-value F-critical
Between: 22.7407 2 11.370 5.582 0.0102 3.403
Within: 48.8889 24 2.037
Total: 71.6296 26

       α =    0.05

F stat = 5.582

critical = .3.403
Decision: F stat > critical , reject null hypothesis        

//////////////////////////////

eta square ,effect size = SSR/SST   0.32

medium

.............


d)

1)At least one of the sessions differ on anxiety.

...............

e)

Level of significance 0.05
no. of treatments,k 3
DF error =N-k= 24
MSE = 2.0370
q-statistic value(α,k,N-k) 3.53
confidence interval
population mean difference critical value lower limit upper limit result
µ1-µ3 1.889 1.68 0.21 3.57 means are different
µ2-µ3 2.00 1.68 0.32 3.68 means are different

.............

thanks

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