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 75 American households who have tried to reduce their long-distance bills. Suppose further that of these 75 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: p = 0.32
Ha: p 0.32
Test Statistic :-
Z = (
- p) / ( √( p ( 1 - p) /n)
Z = ( 0.22 - 0.32 ) / ( √(( 0.32 * ( 1 - 0.32) ) /75))
Z = -1.86
Test Criteria :-
Reject null hypothesis if Z < -Z(α/2)
Z(α/2) = Z(0.01/2) = 2.576
Z > -Z(α/2) = -1.8565 > -2.576, we fail to reject the null hypothesis
Conclusion :- We do not have sufficient evidence to support the claim that a significantly different
proportion of American households are trying to reduce long-distance bills by switching companies.
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