In a survey of 3,748 travelers, 1,537 said that location was very important for choosing a hotel and 1,193 said that reputation was very important in choosing an airline. Complete parts (a) through(c) below.
Construct a 95% confidence interval estimate for the population proportion of travelers who said that reputation was very important in choosing an airline.
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(Round to four decimal places as needed.)
Solution:
Here, we have to construct the confidence interval for the population proportion. The confidence interval formula is given as below:
Confidence Interval = P ± Z* sqrt(P*(1 – P)/n)
Where, P is the sample proportion, Z is critical value, and n is sample size.
We are given
Confidence level = 95%
Critical Z value = 1.96
(by using z-table)
Number of favourable observations = x = 1193
Sample size = n = 3748
Sample proportion = P = x/n = 1193/3748 = 0.318303095
Confidence Interval = P ± Z* sqrt(P*(1 – P)/n)
Confidence Interval = 0.318303095 ± 1.96* sqrt(0.318303095*(1 – 0.318303095)/3748)
Confidence Interval = 0.318303095 ± 1.96* 0.0076
Confidence Interval = 0.318303095 ± 0.0149
Lower limit = 0.318303095 - 0.0149 = 0.3034
Upper limit = 0.318303095 + 0.0149 = 0.3332
0.3034 ≤ ∏ ≤ 0.3332
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