In: Statistics and Probability
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, 26% 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. What is the value of the Test Statistic?
Ho : p = 0.32
H1 : p ╪ 0.32
(Two tail test)
Level of Significance, α =
0.01
Number of Items of Interest, x =
20.8
Sample Size, n = 80
Sample Proportion , p̂ = x/n =
0.2600
Standard Error , SE = √( p(1-p)/n ) =
0.0522
Z Test Statistic = ( p̂-p)/SE = (
0.2600 - 0.32 ) /
0.0522 = -1.150
p-Value = 0.250 [excel formula
=2*NORMSDIST(z)]
Decision: p value>α ,do not reject null hypothesis
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