In: Statistics and Probability
Researchers are interested in whether there is a difference in happiness levels between people that live on the West Coast and people that live on the East Coast. A simple random sample of people were selected from each coast to take an assessment of their happiness. Scores on the happiness assessment range from 1-20.
The happiness scores for the individuals assessed are below.
East Coast Happiness Scores | West Coast Happiness Scores |
9.7, 18.8, 19.9, 10.1, 8.9, 15.0, 16.4, 10.1, 11.0, 19.5, 16.6, 16.1, 19.0 |
12.2, 9.6, 20.0, 19.3, 14.4, 16.3, 15.3, 18.0, 18.5, 19.4 |
Complete an appropriate significance test the compare to happiness levels. What is the P-value of this test?
Given:
The happiness scores for the individuals assessed are below.
East Coast Happiness Scores | West Coast Happiness Scores |
9.7, 18.8, 19.9, 10.1, 8.9, 15.0, 16.4, 10.1, 11.0, 19.5, 16.6, 16.1, 19.0 |
12.2, 9.6, 20.0, 19.3, 14.4, 16.3, 15.3, 18.0, 18.5, 19.4 |
For east coast happiness scores :
1 = 14.7, n1 = 13, s1 = 4.1691
For west coast happiness scores :
2 = 16.3, n2 = 10, s2 = 3.4374
Hypothesis test:
The null and alternative hypothesis is
Ho : 1 = 2
Ha : 1 2 (This is a two tailed test)
Test statistics is
So P-value = 0.3249