A hypothesis testing situation is given. The population standard deviation, sample size, and significance level are given. Complete the table to give the probability of a Type II error and the power for each of the given values of μ. Use the table to draw the power curve.
A hypothesis test is to be performed to determine whether the mean waiting time during peak hours for customers in a grocery store has increased from the previous mean waiting time of
Preliminary data analyses indicate that it is reasonable to apply a
The hypotheses are
H
0: μ = 8.3 minutes
H
a: μ > 8.3 minutes.
The population standard deviation is 3.6 minutes. The sample size is 45. The significance level is 0.05. Find the probability of a Type II error and the power for μ = 8.4, 8.6, 8.8, 9.0, 9.2, 9.4, 9.6, 9.8, 10.0, 10.2.
| True mean P(Type II error) | Power |
μ β 1 - β
8.4
8.6
8.8
9.0
9.2
9.4
9.6
9.8
10.0
10.2
Power Curve
Sample Advance Directive
AC ripple at the output terminal of the battery is more accurate than testing at the battery due ...
Sample composition of maternal and paternal HLA haplotypes.
Population Indicators
SAT Testing Collage
World Population, 1850–2150