The average age of licensed drivers in a county is μ = 42.6, σ = 12, and the distribution is approximately normal. A county police officer was interested in whether the average age of drivers receiving speeding tickets differed from the average age of the driving population. She obtained a sample of N = 16 drivers receiving speeding tickets. The average age for this sample was M = 34.4. Perform the steps 2-5 of the hypothesis testing necessary to determine whether this group differs from the population of drivers in the county.
Here as we defined the hypothesis for two tailed test
H0 : = 42.6
Ha : 42.6
Here standard deviation = σ = 12
Sample size n = 16
standard error of sample mean = σ/sqrt(n) = 12/sqrt(16) = 3
Average age of sample = M = 34.4
Step 2 :
Define the confidence level = 0.05
Step 3 :
Critical region for the two tailed test and alpha = 0.05
Zcritical = 196
Step 4 :
Z = (34.4 - 42.6)/3 = -2.7333
Step 4
Here as Z > Zcritical so we will reject the null hypothesis and we will conclude that this group differes from the population of drivers in the county.
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