In: Statistics and Probability
Education influences attitude and lifestyle. Differences in education are a big factor in the "generation gap." Is the younger generation really better educated? Large surveys of people age 65 and older were taken in n1 = 30 U.S. cities. The sample mean for these cities showed that x1 = 15.2% of the older adults had attended college. Large surveys of young adults (age 25–34) were taken in n2 = 35 U.S. cities. The sample mean for these cities showed that x2 = 18.7% of the young adults had attended college. From previous studies, it is known that σ1 = 7.2% and σ2 = 4.8%.
What is the value of the sample test statistic? Compute the
corresponding z or t value as appropriate. (Test
the difference μ1 − μ2. Round your answer to
two decimal places.)
(iii) Find (or estimate) the P-value. (Round your answer
to four decimal places.)
b) Find a 90% confidence interval for
μ1 − μ2.
(Round your answers to two decimal places.)
lower limit | |
upper limit |
The statistical software output for this problem is:
Hence,
a) ii) Test statistic = -2.27
iii) P - value = 0.0117
b) 90% confidence interval:
Lower limit = -6.04
Upper limit = -0.96