Term 1 of 69
The Central Limit Theorem (CLT) states that the sample means
of any samples will be normally distributed regardless of the shape of their population
distributions.
of large-sized samples will be uniformly distributed regardless of the shape of their
population distributions.
of large-sized samples will be normally distributed regardless of the shape of their
population distributions.
of any samples will be uniformly distributed regardless of the shape of their population
distributions.
Term 2 of 69
Many franchisers favor owners who operate multiple stores by providing them with preferential
treatment. Suppose the Small Business Administration would like to perform a hypothesis test
to investigate if 80% of franchisees own only one location using α = 0.05. A random sample of
120 franchisees found that 85 owned only one store. The p-value for this hypothesis test would
be ________.
0.0121
0.0320
0.0759
0.1236
,Term 3 of 69
A ________ sample is a sample in which each member of the population has a known, nonzero,
chance of being selected for the sample.
systematic
simple random
probability
convenience
Term 4 of 69
"Gamers" are described as people who regularly play video games. A random sample of 80
people was selected and 50 were found to be male. The 95% confidence interval for the
proportion based on this sample is ________.
(0.519, 0.731)
(0.571, 0.679)
(0.463, 0.787)
(0.536, 0.714)
Term 5 of 69
"Gamers" are described as people who regularly play video games. A random sample of 80
people was selected and 50 were found to be male. The approximate standard error of the
proportion for this sample is ________.
0.0336
0.0422
0.0541
0.0610
.0541
.0336
.0422
.0610
,Term 6 of 69
The Fortune 500 is comprised of Fortune magazine's annual list of the finite population of the
top 500 companies in the U.S. ranked by revenues. According to Catalyst, 16% of positions on
corporate boards at Fortune 500 companies were held by women in 2018. A random sample of
100 Fortune 500 companies was selected. The standard error of the proportion is ________.
0.0125
0.0328
0.0367
0.0592
.333
.328
.428
.0328
Term 7 of 69
The finite population correction factor for the standard error of the mean should be used
when the ratio of the sample size to the size of the population exceeds ________.
1%
2%
3%
5%
Term 8 of 69
A random sample of 13 hotels in Orlando had an average nightly room rate of $172.10 with a
sample standard deviation of $23.90. The 99% confidence interval around this sample mean is
________.
($151.85, $192.35)
($155.55, $188.65)
($158.86, $185.34)
($165.48, $178.72)
, Term 9 of 69
The Department of Transportation would like to test the hypothesis that the average age of
cars on the road is less than 12 years. A random sample of 45 cars had an average age of 10.6
years. It is believed that the population standard deviation for the age of cars is 4.1 years. The
Department of Transportation would like to set α = 0.05. The conclusion for this hypothesis test
would be that because the test statistic is ______________________________________.
more than the critical value, we can conclude that the average age of cars on the road is
less than 12 years
more than the critical value, we cannot conclude that the average age of cars on the
road is less than 12 years
less than the critical value, we can conclude that the average age of cars on the road is
less than 12 years
less than the critical value, we cannot conclude that the average age of cars on the road
is less than 12 years
Term 10 of 69
Many hotel chains that offer free Wi-Fi service to their customers have experienced increasing
demand for Internet bandwidth and increasing costs. Marriott International would like to test
the hypothesis that the proportion of customers that are carrying two Wi-Fi devices exceeds
0.60. A random sample of 120 Marriott customers found that 78 have two Wi-Fi devices.
Marriott International would like to set α = 0.01. The correct hypothesis statement for this
H0: p ≤ 0.60; H1: p > 0.60.
H0: p ≠ 0.60; H1: p > 0.60.
H0: p > 0.60; H1: p ≤ 0.60.
H0: p ≤ 0.60; H1: p ≠ 0.60.
Term 11 of 69
The definition of a 90% confidence interval is that we expect that close to 90% of a large
number of sample means drawn from a population will produce confidence intervals that
include that population's mean.
True
False
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