Question

In: Statistics and Probability

Condé Nast Traveler conducts an annual survey in which readers rate their favorite cruise ship. All...

Condé Nast Traveler conducts an annual survey in which readers rate their favorite cruise ship. All ships are rated on a 100-point scale, with higher values indicating better service. A sample of 37 ships that carry fewer than 500 passengers resulted in an average rating of 85.36 , and a sample of 44 ships that carry 500 or more passengers provided an average rating of 81.9. Assume that the population standard deviation is 4.59 for ships that carry fewer than 500 passengers and 3.96 for ships that carry 500 or more passengers.

a. What is the point estimate of the difference between the population mean rating for ships that carry fewer than 500 passengers and the population mean rating for ships that carry 500 or more passengers?

b. At 95% confidence, what is the margin of error?

c. What is a 95% confidence interval estimate of the difference between the population mean ratings for the two sizes of ships?

Solutions

Expert Solution

TRADITIONAL METHOD
given that,
mean(x)=85.36
standard deviation , σ1 =4.59
population size(n1)=37
y(mean)=81.9
standard deviation, σ2 =3.96
population size(n2)=44
(a)
point estimate of the difference between the population mean rating = (x1-x2) = (85.36-81.9) = 3.46
------------------------------------------------------------------------------
(b)
I.
standard error = sqrt(s.d1^2/n1)+(s.d2^2/n2)
where,
sd1, sd2 = standard deviation of both
n1, n2 = sample size
standard error = sqrt((21.0681/37)+(15.6816/44))
= 0.9622
II.
margin of error = Z a/2 * (standard error)
where,
Za/2 = Z-table value
level of significance, α = 0.05
from standard normal table, two tailed z α/2 =1.96
since our test is two-tailed
value of z table is 1.96
margin of error = 1.96 * 0.9622
= 1.8859
------------------------------------------------------------------------------
(c)
III.
CI = (x1-x2) ± margin of error
confidence interval = [ (85.36-81.9) ± 1.8859 ]
= [1.5741 , 5.3459]
-----------------------------------------------------------------------------------------------
interpretations:
1. we are 95% sure that the interval [1.5741 , 5.3459] contains the difference between
true population mean U1 - U2
2. If a large number of samples are collected, and a confidence interval is created
for each sample, 95% of these intervals will contains the difference between
true population mean U1 - U2
3. Since this Cl does contain a zero we can conclude at 0.05 true mean
difference is zero


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