In: Math
According to one survey taken a few years ago, 32% of American
households have attempted to reduce their long-distance phone bills
by switching long-distance companies. Suppose that business
researchers want to test to determine if this figure is still
accurate today by taking a new survey of 80 American households who
have tried to reduce their long-distance bills. Suppose further
that of these 80 households, 22% say they have tried to reduce
their bills by switching long-distance companies. Is this result
enough evidence to state that a significantly different proportion
of American households are trying to reduce long-distance bills by
switching companies? Let α = .01.
H0:Null Hypothesis : P =0.32 ( Same proportion of American households are trying to reduce long-distance bills by switching companies)
HA: Alternative Hypothesis : P 0.32 ( A significantly different proportion of American households are trying to reduce long-distance bills by switching companies) (Claim)
n = Sample Size = 80
P = Population Proportion = 0.32
Q = 1 - P = 0.68
SE =
= Sample Proportion = 0.22
Test Statistic is given by:
Z = (0.22 - 0.32)/0.2284
= - 0.4379
= 0.01
From Table, critical values of Z = 2.576
Since calculated value of Z = - 0.4379 is greater than criticalvalue of Z = - 2.576, the difference is not significant. Fail to reject null hypothesis.
Conclusion:
The data do not support the claim that a significantly different
proportion of American households are trying to reduce
long-distance bills by switching companies.