In: Statistics and Probability
The superintendent of a local maintenance company claims that, after their technicians completed a new training program, less than 20 percent of customers were dissatisfied with the services rendered. A customer service consultant evaluated this claim by randomly surveying 80 customers and found that only 10 were dissatisfied. a. Test the GM’s claim at the 5 percent level of significance. b. Construct the 95 percent confidence interval for the proportion of customers that are dissatisfied with the service.
n = 80
x = 10
Sample proportion, p̄ = 0.125
α = 0.05
a) Null and Alternative hypothesis:
Ho : p = 0.2
H1 : p < 0.2
Critical value :
At α = 0.05, left tailed critical value, z crit = NORM.S.INV(0.05)
= -1.645
Test statistic:
z =(p̄ -p)/(√(p*(1-p)/n))
= -1.6771
Decision:
As z = -1.6771 < z crit = -1.645, we reject the null hypothesis
Conclusion:
There is enough evidence to claim that less than 20 percent of customers were dissatisfied with the services rendered at 0.05 significance level.
b) At α = 0.05, two tailed critical value, z crit = NORM.S.INV(0.05/ 2) = 1.960
95% Confidence interval :
Lower Bound = p̄ - z-crit*(√( p̄ *(1- p̄ )/n)) =
0.0525
Upper Bound = p̄ + z-crit*(√( p̄ *(1- p̄ )/n)) =
0.1975