Question

In: Math

Suppose the accompanying summary statistics for a measure of social marginality for samples of youths, young...

Suppose the accompanying summary statistics for a measure of social marginality for samples of youths, young adults, adults, and seniors appeared in a research paper. The social marginality score measured actual and perceived social rejection, with higher scores indicating greater social rejection.

Age Group Youths Young
Adults
Adults Seniors
Sample Size 109 257 311 37
x 2.00 3.40 3.06 2.84
s 1.59 1.68 1.67 1.88

For purposes of this exercise, assume that it is reasonable to regard the four samples as representative of the U.S. population in the corresponding age groups and that the distributions of social marginality scores for these four groups are approximately normal with the same standard deviation.

Is there evidence that the mean social marginality scores are not the same for all four age groups? Test the relevant hypotheses using

α = 0.01.

Calculate the test statistic. (Round your answer to two decimal places.)

F =

What can be said about the P-value for this test?

P-value > 0.1000.050 < P-value < 0.100    0.010 < P-value < 0.0500.001 < P-value < 0.010P-value < 0.001

What can you conclude?

Reject H0. There is convincing evidence that the mean social marginality scores are not the same for all four age groups.Fail to reject H0. There is not convincing evidence that the mean social marginality scores are not the same for all four age groups.    Fail to reject H0. There is convincing evidence that the mean social marginality scores are not the same for all four age groups.Reject H0. There is not convincing evidence that the mean social marginality scores are not the same for all four age groups.

You may need to use the appropriate table in Appendix A to answer this question.

Solutions

Expert Solution

One Way Analysis of Variance (ANOVA)              

Youth young ault adults seniors
count, ni = 109 257 311 37
mean , x̅ i = 2.000 3.40 3.06 2.84
std. dev., si = 1.590 1.680 1.670 1.880
sample variances, si^2 = 2.528 2.822 2.789 3.534
total sum 218 873.8 951.66 105.08 2148.54 (grand sum)
grand mean , x̅̅ = Σni*x̅i/Σni =   3.01
square of deviation of sample mean from grand mean,( x̅ - x̅̅)² 1.018 0.153 0.003 0.029
TOTAL
SS(between)= SSB = Σn( x̅ - x̅̅)² = 111.006 39.258 0.804 1.059 152.1269
SS(within ) = SSW = Σ(n-1)s² = 273.035 722.534 864.559 127.238 1987.3666

no. of treatment , k =   4
df between = k-1 =    3
N = Σn =   714
df within = N-k =   710
  
mean square between groups , MSB = SSB/k-1 =    50.7090
  
mean square within groups , MSW = SSW/N-k =    2.7991
  
F-stat = MSB/MSW =    18.1161
P value =   0.0000

SS df MS F p-value F-critical
Between: 152.13 3 50.71 18.12 0.0000 3.81
Within: 1987.37 710 2.80
Total: 2139.49 713
α = 0.01

test stat ,F = 18.12

P-value < 0.001

Reject H0. There is convincing evidence that the mean social marginality scores are not the same for all four age groups.


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