An international studies student is interested in knowing if the number of hours of television watched per week is greater in New York than in London. The international studies student takes a sample of 80 residents from London and finds that the mean television hours watched per week is 7.3 with a standard deviation of 2.3. The student also takes a sample of 80 residents from New York and finds that hours watched per week is 7.9 with a standard deviation of 2.5 hours. Test the claim a higher average hours of television are watched per week in New York than in London. Use α = .10.
Provide a 90% confidence interval estimate for the difference in means. Use α = .10.
Answer:
Given,
sample n1 = n2 = 80
mean x1 = 7.3 , x2 = 7.9
standard deviation s1 = 2.3 , s2 = 2.5
Ho : u1 = u2
Ha : u1 < u2
test statstic z = (x1 - x2)/sqrt(s1^2/n1 + s2^2/n2)
substitute values
= (7.3 - 7.9)/sqrt(2.3^2/80 + 2.5^2/80)
z = -1.58
P value = P(z < -1.58)
= 0.0570534 [since from z table]
= 0.057
Here p value < 0.1, so we reject Ho.
We have sufficient evidence.
Now consider,
Here at 90% CI, z value is 1.645
90% CI = (x1 - x2) +/- z*sqrt(s1^2/n1 + s2^2/n2)
substitute values
= (7.3 - 7.9) +/- 1.645*sqrt(2.3^2/80 + 2.5^2/80)
= -0.6 +/- 0.6248
= (-1.2248 , 0.0248)
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