A quantitative variable is the only type of variable that can:
1. A quantitative variable is the only type of variable that
can:
__Assume numeric values for which arithmetic operations make
sense
__Have no intermediate value
__Be graphed
__Be used to prepare tables
2. A qualitative variable is the only type of variable that:
__can assume an uncountable set of values
__cannot be measured numerically
__can assume numerical values
__cannot be graphed
3. The temperatures (in degrees Fahrenheit) observed during
seven days of summer in Los Angeles are:
78 99 68
91 99 75
85
The range of these temperatures is _______
The variance of these temperatures, rounded to three
decimals, is________
The standard deviation, rounded to three decimals, of these
temperatures is _________
5. For the probability distribution of a discrete random
variable x, the sum of the probabilities of all values of x must be:
__equal to zero
__equal to 1
__in range zero to 1
__equal to 0.5
6. The following table lists the probability distribution of
discrete random variable x:
X 2 3 4 5 6 7 8
P(x) 0.15 0.29 0.21 0.13 0.14 0.06 0.02
The mean of the random variable x is :_____________
The standard deviation of the random variable x, rounded to
the decimal places, is___________
7.The daily sales at a convenience store produce a
distribution that is approximately normal with a mean of 1270 and a standard
deviation of 138.
In your intermediate calculations, round z-values to two
decimal places.
The probability that the sales on a given day at this store
are more than $ 1405, rounded to four decimal places, is:____________
The probability that the sales on a given day at this store
are less than $ 1305, rounded to four decimal places, is:____________
The probability that the sales on a given day at this store
are between $ 1200 and $ 1300, rounded to four decimal places, is:
8.A sample of size 82 from a population having standard
deviation ? = 42 produced a mean of 248.00. The 95% confidence interval for the
population mean (rounded to two decimal places) is:
The lower limit is ___________
The upper limit is____________
9. The null hypothesis is a claim about a:
__population parameter, where the claim is assumed to be
false unit it is declared true
__population parameter, where the claim is assumed to be
true until it is declared false
__Statistic, where the claim is assumed to be false until it
is declared true
__Statistic, where the claim is assumed to be true until is
declared fasle
10. The alternative hypothesis is a claim about a:
__statistic, where the claim is assumed to be false unit it
is declared true
__population parameter, where the claim is assumed to be
true until it is declared false
__population parameter, where the claim is assumed to be true
if the null hypothesis is declared false
__Statistic, where the claim is assumed to be true if the
null hypothesis is declared false
11. In a one-tailed hypothesis test, a critical point is a
point that divides the area under the sampling distribution of a:
__statistic into one rejection region and one nonrejection
region
__populaton parameter into one rejection region and one
nonrejection region
__statistic into one rejection region and two nonrejection
regions
__populations parameter into two rejection regions and one
nonregjection region
12.In a two-tailed hypothesis test, the two critical points
are the points that divide the area under the sampling distribution of a:
__population parameter into two rejection regions and one
nonrejection region
__statistic into two rejection regions and one nonrejection
region
__statistic into one rejection region and two nonrejection
regions
__population parameter into one rejection region and one
nonrejection region
13.In a hypothesis test, a Type I error occurs when:
__a false null hypothesis is rejected
__a true null hypothesis is not rejected
__a false null hypothesis is not rejected
__a true null hypothesis is rejected
14.In a hypothesis test, a Type II error occurs when:
__a false null hypothesis is rejected
__a true null hypothesis is rejected
__a true null hypothesis is not rejected
__a false null hypothesis is not rejected
15.In a hypothesis test, the probability of committing a
Type I error is called the:
__beta error
__confidence interval
__confidence level
__significance level