INSTRUCTIONS: For questions 1 through 50, choose the most correct answer. Transfer your answer to
the answer sheet when done.
1.
In a questionnaire, respondents are asked to mark their gender as male or female. Gender is an
example of the
a.
nominal scale
b.
ordinal scale
c.
interval scale
d.
ratio scale
2.
The
a.
b.
c.
d.
3.
Celsius temperature (C°) is an example of a variable that uses
a.
the ordinal scale
b.
the interval scale
c.
the ratio scale
d.
either the ratio or the ordinal scale
4.
Income after taxes is an example of a variable that uses the
a.
nominal scale
b.
ordinal scale
c.
interval scale
d.
ratio scale
5.
The
a.
b.
c.
d.
6.
Quantitative data
a.
are always nonnumeric
b.
may be either numeric or nonnumeric
c.
are always numeric
d.
None of these alternatives is correct.
7.
In a questionnaire, respondents are asked to mark their gender as male or female. Gender is an
example of a
a.
qualitative variable
b.
quantitative variable
c.
qualitative or quantitative variable, depending on how the respondents answered the
question
d.
None of these alternatives is correct.
8.
Qualitative data
a.
must be numeric
b.
must be nonnumeric
c.
cannot be numeric
d.
may be either numeric or nonnumeric
scale of measurement that is used to rank order the observation for a variable is called the
nominal scale
ordinal scale
interval scale
ratio scale
entities on which data are collected are
elements
populations
samples
None of these alternatives is correct.
– page 1 of 7 –
MBA 522 “Data Analysis for Effective Decision Making”
Mid-Term Exam – Section I (Multiple Choice)
(Summer 2010, Classroom)
9.
Data
a.
b.
c.
d.
collected over several time periods are
time series data
time controlled data
crossectional data
time crossectional data
10.
A portion of the population selected to represent the population is called
a.
statistical inference
b.
descriptive statistics
c.
a census
d.
a sample
11.
A situation in which conclusions based upon aggregated crosstabulation are different from
unaggregated crosstabulation is known as
a.
wrong crosstabulation
b.
Empirical rule
c.
Simpson’s Paradox
d.
aggregated crosstabulation
12.
The
a.
b.
c.
d.
13.
When a histogram has a longer tail to the right, it is said to be
a.
symmetrical
b.
skewed to the left
c.
skewed to the right
d.
None of these alternatives is correct.
14.
Bayes’ theorem is used to compute
a.
the prior probabilities
b.
the union of events
c.
intersection of events
d.
the posterior probabilities
15.
Which of the following provides a measure of central location for the data?
a.
standard deviation
b.
mean
c.
variance
d.
range
16.
A numerical value used as a summary measure for a sample, such as sample mean, is known as
a.
a population parameter
b.
a sample parameter
c.
a sample statistic
d.
a population mean
sum of the relative frequencies for all classes will always equal
the sample size
the number of classes
1
any value larger than one
– page 2 of 7 –
MBA 522 “Data Analysis for Effective Decision Making”
Mid-Term Exam – Section I (Multiple Choice)
(Summer 2010, Classroom)
17.
The
a.
b.
c.
d.
pth percentile is a value such that at least p percent of the observations are
less than or equal to this value
less than this value
more than or equal to this value
more than this value
18.
The
a.
b.
c.
d.
difference between the largest and the smallest data values is the
variance
interquartile range (IQR)
range
coefficient of variation
19.
The
the
a.
b.
c.
d.
value which has half of the observations above it and half the observations below it is called
20.
The
a.
b.
c.
d.
most frequently occurring value of a data set is called the
range
mean
median
mode
21.
The interquartile range (IQR) is used as a measure of variability to overcome what difficulty of
the range?
a.
the sum of the range variances is 0
b.
the range is difficult to compute
c.
the range is influenced too much by extreme values
d.
the range is negative
22.
The measure of location which is the most likely to be influenced by extreme values in the data
set is the
a.
range
b.
mean
c.
median
d.
mode
23.
The
a.
b.
c.
d.
24.
Positive values of covariance indicate
a positive variance of the x values
a.
a positive variance of the y values
b.
c.
the standard deviation is positive
d.
a positive relation between the independent and the dependent variables
range
mean
median
mode
numerical value of the standard deviation can never be
larger than the variance
0
negative
smaller than the variance
– page 3 of 7 –
MBA 522 “Data Analysis for Effective Decision Making”
Mid-Term Exam – Section I (Multiple Choice)
(Summer 2010, Classroom)
25.
A numerical measure of linear association between two variables is the
a.
variance
b.
coefficient of variation
c.
correlation coefficient
d.
standard deviation
26.
The
a.
b.
c.
d.
27.
The counting rule that is used for counting the number of experimental outcomes when n objects
are selected from a set of N objects where order of selection is not important is called
a.
permutation
b.
combination
c.
multiple step experiment
d.
None of these alternatives is correct.
28.
The counting rule that is used for counting the number of experimental outcomes when n objects
are selected from a set of N objects where order of selection is important is called
a.
permutation
b.
combination
c.
multiple step experiment
d.
None of these alternatives is correct.
29.
In statistical experiments, each time the experiment is repeated
a.
the same outcome must occur
b.
the same outcome can not occur again
c.
a different outcome may occur
d.
a different out come must occur
30.
When the assumption of equally likely outcomes is used to assign probability values, the method
used to assign probabilities is referred to as the
a.
classical method
b.
relative frequency method
c.
subjective method
d.
probability method
31.
When the results of experimentation or historical data are used to assign probability values, the
method used to assign probabilities is referred to as the
a.
classical method
b.
relative frequency method
c.
subjective method
d.
probability method
32.
A method of assigning probabilities based upon judgment is referred to as the
a.
classical method
b.
relative frequency method
c.
subjective method
d.
probability method
correlation coefficient ranges between
0 and 1
-1 and +1
– and +
1 and 100
– page 4 of 7 –
MBA 522 “Data Analysis for Effective Decision Making”
Mid-Term Exam – Section I (Multiple Choice)
(Summer 2010, Classroom)
33.
If two events are independent, then
a.
they must be mutually exclusive
b.
the sum of their probabilities must be equal to one
c.
their intersection must be zero
d.
None of these alternatives is correct.
34.
Two
a.
b.
c.
d.
events are mutually exclusive
if their intersection is 1
if they have no sample points in common
if their intersection is 0.5
None of these alternatives is correct.
35.
The
a.
b.
c.
d.
range of probability is
any value larger than zero
any value between – to +
0 to 1
any value between -1 to 1
36.
Which of the following statements is always true?
-1 P(Ei) 1
a.
b.
P(A) = 1 – P(Ac)
c.
P(A) + P(B) = 1
d.
?P(Ei) 1
37.
The
a.
b.
c.
d.
38.
Events A and B are mutually exclusive. Which of the following statements is also true?
a.
A and B are also independent
b.
P(A ? B) = P(A)·P(B)
c.
P(A ? B) = P(A) + P(B)
d.
P(A ? B) = P(A) + P(B)
39.
A perfectly balanced coin is tossed six times and tails appears on all six tosses. Then, on the
seventh trial
a.
tails can not appear
b.
heads has a larger chance of appearing than tails
c.
tails has a better chance of appearing than heads
d.
None of these alternatives is correct.
40.
A random variable that can assume only a finite number of values is referred to as a(n)
a.
infinite sequence
b.
finite sequence
c.
discrete random variable
d.
discrete probability function
union of events A and B is the event containing
all the sample points belonging to A or B
all the sample points belonging to B or A
all the sample points belonging to A or B or both
all the sample points belonging to A or B, but not both
– page 5 of 7 –
MBA 522 “Data Analysis for Effective Decision Making”
Mid-Term Exam – Section I (Multiple Choice)
(Summer 2010, Classroom)
41.
Which of the following is a required condition for a discrete probability function?
a.
?f(x) = 0
f(x) 1 for all values of x
b.
f(x) < 0
c.
d.
f(x) = 1
42.
The
a.
b.
c.
d.
number of customers that enter a store during one day is an example of
a continuous random variable
a discrete random variable
either a continuous or a discrete random variable, depending on the number of the
customers
either a continuous or a discrete random variable, depending on the gender of the
customers
43.
The
a.
b.
c.
d.
mass of a stone is an example of
a continuous random variable
a discrete random variable
either a continuous or a discrete random variable, depending on the mass of the stone
either a continuous or a discrete random variable depending on the units of measurement
44.
If you are conducting an experiment where the probability of a success is 0.02 and you are
interested in the probability of 12 successes in 15 trials, the correct probability function to use is
the
a.
standard normal probability density function
b.
normal probability density function
c.
Poisson probability function
d.
binomial probability function
45.
In the textile industry, a manufacturer is interested in the number of blemishes or flaws occurring
in each 100 feet of material. The probability distribution that has the greatest chance of applying
to this situation is the
a.
normal distribution
b.
binomial distribution
c.
Poisson distribution
d.
uniform distribution
46.
The
a.
b.
c.
d.
47.
In a binomial experiment
a.
the probability does not change from trial to trial
b.
the probability does change from trial to trial
c.
the probability could change from trial to trial, depending on the situation under
consideration
d.
None of these alternatives is correct.
binomial probability distribution is used with
a continuous random variable
a discrete random variable
any distribution, as long as it is not normal
None of these alternatives is correct.
– page 6 of 7 –
MBA 522 “Data Analysis for Effective Decision Making”
Mid-Term Exam – Section I (Multiple Choice)
48.
The
a.
b.
c.
d.
Empirical Rule can be used for
any distribution
only a normal distribution
a distribution without outliers
only a distribution with outliers
49.
Chebyshev’s Therom can be used for
a.
any distribution
b.
only a normal distribution
c.
a distribution without outliers
d.
only a distribution with outliers
50.
An outlier can be detected by
a z-score less than -3.0 or greater than +3.0
a.
b.
being less than Q1 – 1.5(IQR) or greater than Q3 + 1.5(IQR)
c.
Either of the above alternatives is correct.
d.
None of these alternatives is correct.
