In: Statistics and Probability
In a report prepared by the Economic Research Department of a major bank, the Department manager maintains that the average annual family income on Metropoles is $48,432. With α = 0.05, use both the rejection region method and p-value to carry out the following tests: a) After some research, you find that a random sample of 100 families shows an average income of $49,400 with a standard deviation of $8000. We would like to test if the average annual income is greater than what the report states. b) A follow researcher, took a sample of 38 families shows an average income of $46,000 with a standard deviation of $6000. We would like to test if the average annual income is less than what the report states.
a)
Below are the null and alternative Hypothesis,
Null Hypothesis, H0: μ = 48432
Alternative Hypothesis, Ha: μ > 48432
Rejection Region
This is right tailed test, for α = 0.05 and df = 99
Critical value of t is 1.66.
Hence reject H0 if t > 1.66
Test statistic,
t = (xbar - mu)/(s/sqrt(n))
t = (49400 - 48432)/(8000/sqrt(100))
t = 1.21
P-value Approach
P-value = 0.1146
As P-value >= 0.05, fail to reject null hypothesis.
b)
Below are the null and alternative Hypothesis,
Null Hypothesis, H0: μ = 48432
Alternative Hypothesis, Ha: μ < 48432
Rejection Region
This is left tailed test, for α = 0.05 and df = 37
Critical value of t is -1.687.
Hence reject H0 if t < -1.687
Test statistic,
t = (xbar - mu)/(s/sqrt(n))
t = (46000 - 48432)/(6000/sqrt(38))
t = -2.499
P-value Approach
P-value = 0.0085
As P-value < 0.05, reject the null hypothesis.