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QNT 275 Final Exam Guide (New, 2017)
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QNT 275 Final Exam Guide (New, 2017)

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1
To make tests of hypotheses about more than two population means, we use the:
t distribution
normal distribution
chi-square distribution
analysis of variance distribution
 
 
2
You randomly select two households and observe whether or not they own a telephone answering machine. Which of the following is a simple event?
At most one of them owns a telephone answering machine.
At least one of them owns a telephone answering machine.
Neither of the two owns a telephone answering machine.
Exactly one of them owns a telephone answering machine.
 
 
 
3
In a one-way ANOVA, we analyze only one:
population
mean
variable
sample
 
 
4
The regression model y = A + Bx + e is:
an exact relationship
a probabilistic model
a nonlinear model
a deterministic model
 
 
5
For a goodness-of-fit test, the frequencies obtained from the performance of an experiment are the:
objective frequencies
observed frequencies
subjective frequencies
expected frequencies
 
 
6
The mean of a discrete random variable is the mean of its:
frequency distribution
second and third quartiles
percentage distribution
probability distribution
 
 
7
A researcher wants to test if the mean annual salary of all lawyers in a city is different than $110,000. The null hypothesis for this example will be that the population mean is:
greater than to $110,000
not equal to $110,000
equal to $110,000
less than to $110,000
 8
Which of the following pairs of events are mutually exclusive?
Female and no
Female and yes
Female and male
No and yes
 9
In a hypothesis test, a Type I error occurs when:
a false null hypothesis is not rejected
a true null hypothesis is rejected
a true null hypothesis is not rejected
a false null hypothesis is rejected
 
10
You toss a coin nine times and observe 3 heads and 6 tails. This event is a:
multiple outcome
simple event
multinomial sample point
compound event
 
11
The graph of a cumulative frequency distribution is a(n):
stem-and-leaf display
frequency histogram
ogive
line graph
 
12
What is the critical value of t for the hypothesis test?
2.441
2.449
2.733
2.738
 
13
An error that occurs because of chance is called: 
mean error
probability error
sampling error
nonsampling error
 
14
A researcher wants to test if elementary school children spend less than 30 minutes per day on homework. The alternative hypothesis for this example will be that the population mean is:
equal to 30 minutes
not equal to 30 minutes
less than or equal to 30 minutes
less than 30 minutes
 
15
A quantitative variable is the only type of variable that can:
have no intermediate values
be used to prepare tables
assume numeric values for which arithmetic operations make sense
be graphed
 
 
16
The p-value is the:
largest significance level at which the alternative hypothesis can be rejected
smallest significance level at which the null hypothesis can be rejected
largest significance level at which the null hypothesis can be rejected
smallest significance level at which the null hypothesis can be rejected
 
 
17
If you divide the number of elements in a sample with a specific characteristic by the total number of elements in the sample, the dividend is the:
sampling distribution
sample distribution
sample mean
sample proportion
 
 
 
18
A linear regression:
gives a relationship between two variables that can be described by a line
gives a relationship between two variables that cannot be described by a line
gives a relationship between three variables that can be described by a line
contains only two variables
 
 
19A continuous random variable x has a right-skewed distribution with a mean of 80 and a standard deviation of 12. The sampling distribution of the sample mean for a sample of 50 elements taken from this population is:
skewed to the left
not normal
approximately normal
skewed to the right
20
Which of the following assumptions is not required to use ANOVA?
All samples are of the same size.
The samples drawn from different populations are random and independent.
The populations from which the samples are drawn are (approximately) normally distributed.
The populations from which the samples are drawn have the same variance.
21
The model y = A + Bx is a:
nonlinear model
stochastic model
probabilistic model
deterministic model
22
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
23
Two paired or matched samples would imply that:
data are collected on two variables from the elements of two independent samples
two data values are collected from the same source (elements) for two dependent samples
two data values are collected from the same source (elements) for two independent samples
data are collected on one variable from the elements of two independent samples
 
24
What is the critical value of z for the hypothesis test?
-2.05
-2.33
-2.17
-1.96
25
A qualitative variable is the only type of variable that:
can assume an uncountable set of values
cannot be measured numerically
cannot be graphed
can assume numerical values
26
The alternative hypothesis is a claim about a:
statistic, where the claim is assumed to be false until it is declared true
parameter, where the claim is assumed to be true until it is declared false
statistic, where the claim is assumed to be true if the null hypothesis is declared false
parameter, where the claim is assumed to be true if the null hypothesis is declared false
27
For small degrees of freedom, the chi-square distribution is:
rectangular
skewed to the left
symmetric
skewed to the right
28
We can use the analysis of variance procedure to test hypotheses about:
the proportion of one population
two or more population proportions
two or more population means
the mean of one population
29
For a one-tailed test, the p-value is:
twice the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
twice the area under the curve between the mean and the observed value of the sample statistic
the area under the curve between the mean and the observed value of the sample statistic
30
The mean of a discrete random variable is its:
second quartile
box-and-whisker measure
upper hinge
expected value
 

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