Business Statistics in Practice Bruce Bowerman 8th Edition – Test Bank
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Sample Test
Chapter 03 Test Bank – Static KEY
|
1. |
The median is the measure of central
tendency that divides a population or sample into four equal parts. |
FALSE
The median divides a population into two equal parts.
|
AACSB: Reflective Thinking |
|
|
2. |
The population mean is the average of
the population measurements. |
TRUE
|
AACSB: Reflective Thinking |
|
3. |
The mode is the measurement in a sample
or population that occurs most frequently. |
TRUE
|
AACSB: Reflective Thinking |
|
|
4. |
The population mean is the point
estimate of the sample mean. |
FALSE
The sample mean is the point estimate of the population mean.
|
AACSB: Reflective Thinking |
|
5. |
The median is said to be resistant to
extreme values. |
TRUE
|
AACSB: Reflective Thinking |
|
|
6. |
The range of the measurement is the
largest measurement plus the smallest measurement. |
FALSE
The range is the largest minus the smallest measurement.
|
AACSB: Reflective Thinking |
|
7. |
The population variance is the average
of the squared deviations of the individual population measurements from the
population mean. |
FALSE
The population variance is the sum of the squared deviations of
the individual population measurements from the population mean.
|
AACSB: Reflective Thinking |
|
|
8. |
In a symmetric population, the median
equals the mode. |
TRUE
|
AACSB: Reflective Thinking |
|
9. |
It is appropriate to use the Empirical
Rule to describe a population that is extremely skewed. |
FALSE
The Empirical Rule should be used for normally distributed
populations.
|
AACSB: Reflective Thinking |
|
|
10. |
The median is the value below which and
above which approximately 50 percent of the measurements lie. |
TRUE
|
AACSB: Reflective Thinking |
|
11. |
If there are seven classes in a
frequency distribution, then the fourth class will always contain the median. |
FALSE
The median is the middle measurement of the data set. Depending
on the shape of the distribution, the median can be in any of the classes.
|
AACSB: Reflective Thinking |
|
|
12. |
Range is a better measure of variation
than standard deviation. |
FALSE
The standard deviation is a better measure of variability than
range.
|
AACSB: Reflective Thinking |
|
13. |
The mean is one component of the
five-number summary. |
FALSE
The five-number summary includes Q1,Q2,Q3, and the smallest and
largest measurements.
|
AACSB: Reflective Thinking |
|
|
14. |
The pth percentile is a value such that (100−p) percent of the measurements
fall at or below the value. |
FALSE
The definition for the (100−p)
percentile is that the measurements fall at or above the value.
|
AACSB: Reflective Thinking |
|
15. |
Chebyshev’s Theorem is only of
practical use when analyzing a non-mound-shaped population that is not very skewed. |
TRUE
|
AACSB: Reflective Thinking |
|
|
16. |
Z-score is often used as a measure of risk. |
FALSE
Z-score is used to measure a measurement’s distance from the
mean.
|
AACSB: Reflective Thinking |
|
17. |
A correlation coefficient close to −1
says x and y are highly
related. |
TRUE
|
AACSB: Reflective Thinking |
|
|
18. |
The line that minimizes the sum of the
squared horizontal (x)
distances between the points on the scatter plot and the line is the least
squares line. |
FALSE
The definition of the least squares line is the line that
minimizes the sum of the squared vertical distances (y) between the points.
|
AACSB: Reflective Thinking |
|
19. |
The weights that are used in calculating
a weighted mean will vary depending on the situation. |
TRUE
|
AACSB: Reflective Thinking |
|
|
20. |
Data summarized in a frequency
distribution or histogram form are often called weighted data. |
FALSE
Data summarized in a frequency distribution or histogram form
are called grouped data.
|
AACSB: Reflective Thinking |
|
21. |
In the calculation of a mean for grouped
data, we assume that the average of the measurements in each class equals the
class midpoint. |
TRUE
|
AACSB: Reflective Thinking |
|
|
22. |
The geometric mean is the rate of
change that yields better wealth at the end of a set of time periods than the
actual returns. |
FALSE
The definition of geometric mean is the rate of change that
yields the same wealth at the end of several time periods as do actual returns.
|
AACSB: Reflective Thinking |
|
23. |
When calculating the geometric mean, a
quantity of 1 is added to the nth
root of the product (1 + R1)(1 + R2) . . . (1 + Rn). |
FALSE
When calculating the geometric mean, 1 is subtracted from
the nth
root of the product.
|
AACSB: Reflective Thinking |
|
|
24. |
The ending value of an initial
investment can be calculated using weighted means. |
FALSE
The ending value of an initial investment is calculated using
geometric mean.
|
AACSB: Reflective Thinking |
|
25. |
A normal population has 99.73 percent
of the population measurements within __________ standard deviation(s) of the
mean. |
|
A. |
1 |
|
B. |
2 |
|
C. |
3 |
|
D. |
4 |
|
AACSB: Reflective Thinking |
|
|
26. |
All of the following are measures of
central tendency except the ____________. |
|
A. |
range |
|
B. |
mode |
|
C. |
mean |
|
D. |
median |
|
AACSB: Reflective Thinking |
|
27. |
Which percentile describes the first
quartile, Q1? |
|
A. |
25th |
|
B. |
50th |
|
C. |
75th |
|
D. |
100th |
|
AACSB: Reflective Thinking |
|
|
28. |
Which percentile describes the third
quartile, Q3? |
|
A. |
25th |
|
B. |
50th |
|
C. |
75th |
|
D. |
100th |
|
AACSB: Reflective Thinking |
|
29. |
Which of the following is influenced
the least by the occurrence of extreme values in a sample? |
|
A. |
mean |
|
B. |
median |
|
C. |
geometric mean |
|
D. |
weighted mean |
|
AACSB: Reflective Thinking |
|
|
30. |
If a population distribution is skewed
to the right, then, given a random sample from that population, one would
expect that the ____________. |
|
A. |
median would be greater than the mean |
|
B. |
mode would be equal to the mean |
|
C. |
median would be less than the mean |
|
D. |
median would be equal to the mean |
|
AACSB: Reflective Thinking |
|
31. |
If the mean, median, and mode for a
given population all equal 25, then we know that the shape of the
distribution of the population is ____________. |
|
A. |
bimodal |
|
B. |
skewed to the right |
|
C. |
symmetrical |
|
D. |
skewed to the left |
|
AACSB: Reflective Thinking |
|
|
32. |
A disadvantage of using grouping (a
frequency table) with sample data is that |
|
A. |
calculations involving central tendency
and variation are more complicated than central tendency and variation
calculations based on ungrouped data. |
|
B. |
the descriptive statistics are less
precise than the descriptive statistics obtained using ungrouped data. |
|
C. |
the interpretation of the grouped data
descriptive statistics is meaningless. |
|
D. |
it is much more difficult to summarize
the information than it is with the ungrouped data. |
|
AACSB: Reflective Thinking |
|
33. |
When using Chebyshev’sTheorem to obtain
the bounds for 99.73 percent of the values in a population, the interval
generally will be ___________ the interval obtained for the same percentage
if a normal distribution is assumed (Empirical Rule). |
|
A. |
shorter than |
|
B. |
wider than |
|
C. |
the same as |
|
AACSB: Reflective Thinking |
|
|
34. |
A quantity that measures the variation
of a population or a sample relative to its mean is called the ____________. |
|
A. |
range |
|
B. |
standard deviation |
|
C. |
coefficient of variation |
|
D. |
variance |
|
E. |
interquartile range |
|
AACSB: Reflective Thinking |
|
35. |
As a measure of variation, the sample
___________ is easy to understand and compute. It is based on the two extreme
values and is therefore a highly unstable measure. |
|
A. |
range |
|
B. |
standard deviation |
|
C. |
variance |
|
D. |
interquartile range |
|
E. |
coefficient of variation |
|
AACSB: Reflective Thinking |
|
|
36. |
A measurement located outside the upper
limits of a box-and-whiskers display is ___________. |
|
|
|
|
A. |
always in the first quartile |
|
B. |
an outlier |
|
C. |
always the largest value in the data
set |
|
D. |
within the lower limits |
|
AACSB: Reflective Thinking |
|
37. |
Another name for the 50th percentile is
the ___________. |
|
A. |
mean |
|
B. |
first quartile |
|
C. |
median |
|
D. |
mode |
|
E. |
third quartile |
|
AACSB: Reflective Thinking |
|
|
38. |
The measurement in a sample or a
population that occurs most frequently is the ___________. |
|
A. |
mode |
|
B. |
mean |
|
C. |
median |
|
D. |
outlier |
|
E. |
average |
|
AACSB: Reflective Thinking |
|
39. |
The average of the squared deviations
of the individual population measurement from the population mean is the
___________. |
|
A. |
standard deviation |
|
B. |
mean |
|
C. |
variance |
|
D. |
median |
|
E. |
range |
|
AACSB: Reflective Thinking |
|
|
40. |
If the mean is greater than the median,
then the distribution is ___________. |
|
A. |
skewed right |
|
B. |
skewed left |
|
C. |
symmetrical |
|
D. |
bimodal |
|
AACSB: Reflective Thinking |
|
41. |
The point estimate of the
_______________ is the positive square root of the sample variance. |
|
A. |
sample mean |
|
B. |
sample standard deviation |
|
C. |
range |
|
D. |
median |
|
E. |
population standard deviation |
|
AACSB: Reflective Thinking |
|
|
42. |
The ______________ is a quantity that
measures the variation of a population or sample relative to its mean. |
|
A. |
mean |
|
B. |
standard deviation |
|
C. |
range |
|
D. |
coefficient of variation |
|
E. |
Z-score |
|
AACSB: Reflective Thinking |
|
43. |
An interval that contains a specified
percentage of the individual measurements is called a(n) _______________
interval. |
|
A. |
three-sigma |
|
B. |
tolerance |
|
C. |
normal |
|
D. |
empirical |
|
AACSB: Reflective Thinking |
|
|
44. |
As the coefficient of variation
_______________, risk ______________. |
|
A. |
increases, decreases |
|
B. |
decreases, increases |
|
C. |
increases, increases |
|
D. |
remains constant, increases |
|
AACSB: Reflective Thinking |
|
45. |
Which of the following is a measure of
the strength of the linear relationship between x and y that is
dependent on the units in which x and y are measured. |
|
A. |
covariance |
|
B. |
correlation coefficient |
|
C. |
slope |
|
D. |
least squares line |
|
AACSB: Reflective Thinking |
|
|
46. |
If b0 = 32 and b1 = −4 and the
predicted value of y is
14, what is the value of x? |
|
A. |
−24.0 |
|
B. |
18.0 |
|
C. |
4.5 |
|
D. |
0.56 |
|
AACSB: Reflective Thinking |
|
47. |
In the least squares line, ___________
is defined as rise/run. |
|
A. |
correlation coefficient |
|
B. |
predicted value of y |
|
C. |
y-intercept |
|
D. |
slope |
|
AACSB: Reflective Thinking |
|
|
48. |
In the calculation of a mean for
grouped data, ___________ are used. |
|
A. |
total sample size and sum of the midpoints
of each class |
|
B. |
total sample size and sum of the
weighted midpoints |
|
C. |
sum of the frequency of each class and
the sum of the midpoints of each class |
|
D. |
sum of the frequency of each class and
the sample midpoint |
|
AACSB: Reflective Thinking |
|
49. |
The arithmetic mean is ___________
larger than a weighted mean in a set of data that uses unequal weights. |
|
A. |
always |
|
B. |
sometimes |
|
C. |
never |
|
AACSB: Reflective Thinking |
|
|
50. |
The constant return used to forecast
future wealth based on actual time periods and their returns is the
____________. |
|
A. |
grouped mean |
|
B. |
geometric mean |
|
C. |
weighted mean |
|
D. |
arithmetic mean |
|
AACSB: Reflective Thinking |
|
51. |
In a statistics class, the following 10
scores were randomly selected: 74, 73, 77, 77, 71, 68, 65, 77, 67, 66. |
|
A. |
71.5 |
|
B. |
72.0 |
|
C. |
77.0 |
|
D. |
71.0 |
|
E. |
73.0 |
|
AACSB: Analytical Thinking |
|
|
52. |
In a statistics class, the following 10
scores were randomly selected: 74, 73, 77, 77, 71, 68, 65, 77, 67, 66. |
|
A. |
71.5 |
|
B. |
72.0 |
|
C. |
77.0 |
|
D. |
71.0 |
|
E. |
73.0 |
|
AACSB: Analytical Thinking |
|
53. |
In a statistics class, the following 10
scores were randomly selected: 74, 73, 77, 77, 71, 68, 65, 77, 67, 66. |
|
A. |
71.5 |
|
B. |
72.0 |
|
C. |
77.0 |
|
D. |
71.0 |
|
E. |
73.0 |
|
AACSB: Analytical Thinking |
|
|
54. |
In a hearing test, subjects estimate
the loudness (in decibels) of a sound, and the results are: 68, 67, 70, 71,
68, 75, 68, 62, 80, 73, 68. |
|
A. |
70 |
|
B. |
75 |
|
C. |
68 |
|
D. |
71 |
|
E. |
80 |
|
AACSB: Analytical Thinking |
|
55. |
In a hearing test, subjects estimate
the loudness (in decibels) of a sound, and the results are: 68, 67, 70, 71,
68, 75, 68, 62, 80, 73, 68. |
|
A. |
70 |
|
B. |
75 |
|
C. |
68 |
|
D. |
71 |
|
E. |
80 |
|
AACSB: Analytical Thinking |
|
|
56. |
In a hearing test, subjects estimate
the loudness (in decibels) of a sound, and the results are: 68, 67, 70, 71,
68, 75, 68, 62, 80, 73, 68. |
|
A. |
70 |
|
B. |
75 |
|
C. |
68 |
|
D. |
71 |
|
E. |
80 |
|
AACSB: Analytical Thinking |
|
57. |
The local amusement park was interested
in the average wait time at their most popular roller coaster at the peak
park time (2 p.m.). They selected 13 patrons and had them get in line between
2 and 3 p.m. Each was given a stopwatch to record the time they spent in
line. The times recorded were as follows (in minutes): 118, 124, 108, 116,
99, 120, 148, 118, 119, 121, 45, 130, 118. |
|
A. |
114.15 |
|
B. |
118 |
|
C. |
148 |
|
D. |
45 |
|
E. |
115.5 |
Mean = sum of values/n = 1484/13 = 114.15
|
AACSB: Analytical Thinking |
|
|
58. |
The local amusement park was interested
in the average wait time at their most popular roller coaster at the peak
park time (2 p.m.). They selected 13 patrons and had them get in line between
2 and 3 p.m. Each was given a stopwatch to record the time they spent in
line. The times recorded were as follows (in minutes): 118, 124, 108, 116,
99, 120, 148, 118, 119, 121, 45, 130, 118. |
|
A. |
114.15 |
|
B. |
118 |
|
C. |
148 |
|
D. |
45 |
|
E. |
115.5 |
To calculate median, put data measurements in ascending order.
The median for an odd number of measurements is the middle measurement;median =
118.
|
AACSB: Analytical Thinking |
|
59. |
The local amusement park was interested
in the average wait time at their most popular roller coaster at the peak
park time (2 p.m.). They selected 13 patrons and had them get in line between
2 and 3 p.m. Each was given a stopwatch to record the time they spent in
line. The times recorded were as follows (in minutes): 118, 124, 108, 116,
99, 120, 148, 118, 119, 121, 45, 130, 118. |
|
A. |
114.15 |
|
B. |
118 |
|
C. |
148 |
|
D. |
45 |
|
E. |
115.5 |
Mode is the value(s) that appears most frequently; mode = 118
(occurs three times).
|
AACSB: Analytical Thinking |
|
|
60. |
Quality control is an important issue
at ACME Company, which manufactures light bulbs. To test the life-hours of
their light bulbs, they randomly sampled nine light bulbs and measured how
many hours they lasted: 378, 361, 350, 375, 200, 391, 375, 368, 321. |
|
A. |
375 |
|
B. |
368 |
|
C. |
389.9 |
|
D. |
200 |
|
E. |
346.6 |
|
AACSB: Analytical Thinking |
|
61. |
Quality control is an important issue
at ACME Company, which manufactures light bulbs. To test the life-hours of
their light bulbs, they randomly sampled nine light bulbs and measured how
many hours they lasted: 378, 361, 350, 375, 200, 391, 375, 368, 321. |
|
A. |
375 |
|
B. |
368 |
|
C. |
389.9 |
|
D. |
200 |
|
E. |
346.6 |
To calculate median, put data measurements in ascending order.
The median for an odd number of measurements is the middle measurement;median =
368.
|
AACSB: Analytical Thinking |
|
|
62. |
Quality control is an important issue
at ACME Company, which manufactures light bulbs. Totest the life-hours of
their light bulbs, they randomly sampled nine light bulbs and measured how
many hours they lasted: 378, 361, 350, 375, 200, 391, 375, 368, 321. |
|
A. |
375 |
|
B. |
368 |
|
C. |
389.9 |
|
D. |
200 |
|
E. |
346.6 |
Mode is the value(s) that appear most frequently; mode = 375
(occurs two times).
|
AACSB: Analytical Thinking |
|
|
63. |
Find the coefficient of variation for
IQ tests with a mean of 100 and a standard deviation of 15. |
|
A. |
15.0 |
|
B. |
6.7 |
|
C. |
0.15 |
|
D. |
1.5 |
|
E. |
67 |
Coefficient of variation = (Stddev/mean) × 100 = (15/100) × 100
= 15
|
AACSB: Analytical Thinking |
|
64. |
Find the z-score for an IQ test
score of 142 when the mean is 100 and the standard deviation is 15. |
|
A. |
42 |
|
B. |
2.8 |
|
C. |
18.78 |
|
D. |
1.27 |
|
E. |
−2.8 |
Z-score = (x − mean)/stddev = (142 − 100)/15 = 42/15 = 2.8
|
AACSB: Analytical Thinking |
|
|
65. |
Find the z-score for an IQ test
score of 92 when the mean is 100 and the standard deviation is 15. |
|
A. |
0.53 |
|
B. |
0.77 |
|
C. |
−0.77 |
|
D. |
−0.53 |
|
E. |
−8.00 |
Z-score = (x − mean)/stddev = (92 − 100)/15 = −8/15 = −0.53
|
AACSB: Analytical Thinking |
|
66. |
Find the z-score for an IQ test
score of 118 when the mean is 100 and the standard deviation is 15. |
|
A. |
1.2 |
|
B. |
1.0 |
|
C. |
18.0 |
|
D. |
−1.03 |
|
E. |
−1.2 |
Z-score = (x − mean)/stddev = (118 − 100)/15 = 18/15 = 1.2
|
AACSB: Analytical Thinking |
|
|
67. |
Find the z-score for an IQ test
score of 125 when the mean is 100 and the standard deviation is 15. |
|
A. |
25 |
|
B. |
1.1 |
|
C. |
1.67 |
|
D. |
−1.1 |
|
E. |
−1.67 |
Z-score = (x − mean)/stddev = (125 − 100)/15 = 25/15 = 1.67
|
AACSB: Analytical Thinking |
|
68. |
Using Chebyshev’sTheorem, find the
interval that contains at least 93.75 percentof all measurements when the
mean = 2.549 and s =
1.828. |
|
A. |
[−2.935, 8.033] |
|
B. |
[−1.107, 6.205] |
|
C. |
[−26.699, 31.797] |
|
D. |
[2.435, 2.663] |
|
E. |
[−4.763, 9.861] |
1 − (1/k2) = .9375; 1/k2 =
1 − .9375; 1/k = √.0625; k = 4
|
AACSB: Analytical Thinking |
|
|
69. |
According to a survey of the top 10
employers in a major city in the Midwest, a worker spends an average of 413
minutes a day on the job. Suppose the standard deviation is 26.8 minutes, and
the time spent is approximately a normal distribution. |
|
A. |
[394.8, 431.2] |
|
B. |
[386.2, 439.8] |
|
C. |
[372.8, 453.2] |
|
D. |
[359.4, 466.6] |
|
E. |
[332.6, 493.4] |
|
AACSB: Analytical Thinking |
|
70. |
According to a survey of the top 10
employers in a major city in the Midwest, a worker spends an average of 413
minutes a day on the job. Suppose the standard deviation is 26.8 minutes and
the time spent is approximately a normal distribution. |
|
A. |
[305.8, 520.2] |
|
B. |
[386.2, 439.8] |
|
C. |
[372.8, 453.2] |
|
D. |
[359.4, 466.6] |
|
E. |
[332.6, 493.4] |
|
AACSB: Analytical Thinking |
|
|
71. |
According to Chebyshev’s Theorem, at
least what proportion of the data will be within μ ± kσfor k = 2? |
|
A. |
68% |
|
B. |
50% |
|
C. |
25% |
|
D. |
75% |
|
E. |
34% |
|
AACSB: Analytical Thinking |
|
72. |
According to Chebyshev’s Theorem, at
least what proportion of the data will be within μ ± kσfor k = 1.6? |
|
A. |
39% |
|
B. |
58% |
|
C. |
68% |
|
D. |
61% |
|
E. |
92% |
|
AACSB: Analytical Thinking |
|
|
73. |
Using Chebyshev’s Theorem, approximate
the minimum proportion of the data that will be within μ ± kσfor k = 3.2. |
|
A. |
90% |
|
B. |
95% |
|
C. |
84% |
|
D. |
97% |
|
E. |
10% |
|
AACSB: Analytical Thinking |
|
74. |
According to Chebyshev’sTheorem, a
range of how many standard deviations would include at least 80 percentof the
values? |
|
A. |
5.0 |
|
B. |
2.2 |
|
C. |
2.5 |
|
D. |
1.6 |
|
E. |
2.0 |
|
AACSB: Analytical Thinking |
|
|
75. |
In a statistics class, 10 scores were
randomly selected with the following results (mean = 71.5): 74, 73, 77, 77,
71, 68, 65, 77, 67, 66. |
|
A. |
22.72 |
|
B. |
12.00 |
|
C. |
4.77 |
|
D. |
516.20 |
|
E. |
144.00 |
|
AACSB: Analytical Thinking |
|
76. |
In a statistics class, 10 scores were
randomly selected with the following results (mean = 71.5): 74, 73, 77, 77,
71, 68, 65, 77, 67, 66. |
|
A. |
22.72 |
|
B. |
12.00 |
|
C. |
4.77 |
|
D. |
516.20 |
|
E. |
144.00 |
|
AACSB: Analytical Thinking |
|
|
77. |
In a statistics class, 10 scores were
randomly selected with the following results (mean = 71.5): 74, 73, 77, 77,
71, 68, 65, 77, 67, 66. |
|
A. |
22.72 |
|
B. |
12.00 |
|
C. |
4.77 |
|
D. |
516.20 |
|
E. |
144.00 |
|
AACSB: Analytical Thinking |
|
78. |
In a hearing test, subjects estimate
the loudness (in decibels) of a sound, and the results are (mean = 70): 68,
67, 70, 71, 68, 75, 68, 62, 80, 73, 68. |
|
A. |
18 |
|
B. |
4.73 |
|
C. |
22.40 |
|
D. |
324 |
|
E. |
6.76 |
|
AACSB: Analytical Thinking |
|
|
79. |
In a hearing test, subjects estimate
the loudness (in decibels) of a sound, and the results are (mean = 70): 68,
67, 70, 71, 68, 75, 68, 62, 80, 73, 68. |
|
A. |
18 |
|
B. |
4.73 |
|
C. |
22.40 |
|
D. |
324 |
|
E. |
6.76 |
|
AACSB: Analytical Thinking |
|
80. |
In a hearing test, subjects estimate
the loudness (in decibels) of a sound, and the results are (mean = 70): 68,
67, 70, 71, 68, 75, 68, 62, 80, 73, 68. |
|
A. |
18 |
|
B. |
4.73 |
|
C. |
22.40 |
|
D. |
324 |
|
E. |
6.76 |
|
AACSB: Analytical Thinking |
|
|
81. |
The local amusement park was interested
in the average wait time at their most popular roller coaster at the peak
park time (2 p.m.). They selected 13 patrons and had them get in line between
2 and 3 p.m. Each was given a stopwatch to record the time they spent in
line. The times recorded were as follows (in minutes;mean = 114.15): |
|
A. |
103 |
|
B. |
23.62 |
|
C. |
557.97 |
|
D. |
128.8 |
|
E. |
115 |
Range = largest value − smallest value = 148 − 45 = 103
|
AACSB: Analytical Thinking |
|
82. |
The local amusement park was interested
in the average wait time at their most popular roller coaster at the peak
park time (2 p.m.). They selected 13 patrons and had them get in line between
2 and 3 p.m. Each was given a stopwatch to record the time they spent in
line. The times recorded were as follows (in minutes;mean = 114.15): |
|
A. |
103 |
|
B. |
23.62 |
|
C. |
557.97 |
|
D. |
128.8 |
|
E. |
115 |
Variance = [Σ (x−
mean)2]/(n −
1) =6695.69/12 = 557.97
|
AACSB: Analytical Thinking |
|
|
83. |
The local amusement park was interested
in the average wait time at their most popular roller coaster at the peak
park time (2 p.m.). They selected 13 patrons and had them get in line between
2 and 3 p.m. Each was given a stopwatch to record the time they spent in
line. The times recorded were as follows (in minutes;mean = 114.15): |
|
A. |
103 |
|
B. |
23.62 |
|
C. |
557.97 |
|
D. |
128.8 |
|
E. |
115 |
Std Dev = √Variance = √[(Σ (x−
mean)2)/(n −
1)] = √(6695.69/12)= √557.97 = 23.62
|
AACSB: Analytical Thinking |
|
84. |
Quality control is an important issue
at ACME Company, which manufactures light bulbs. To test the life-hours of
their light bulbs, they randomly sampled nine light bulbs and measured how
many hours they lasted (mean = 346.6). |
|
A. |
342.43 |
|
B. |
3424.3 |
|
C. |
58.5 |
|
D. |
191 |
|
E. |
10,609 |
Range = largest value − smallest value = 391 − 200 = 191
|
AACSB: Analytical Thinking |
|
|
85. |
Quality control is an important issue
at ACME Company, which manufactures light bulbs. To test the life hours of
their light bulbs, they randomly sampled nine light bulbs and measured how
many hours they lasted (mean = 346.6). |
|
A. |
342.43 |
|
B. |
3424.3 |
|
C. |
58.5 |
|
D. |
191 |
|
E. |
10,609 |
Variance = [Σ (x−
mean)2]/(n −
1) =27,394.24/8 = 3424.28
|
AACSB: Analytical Thinking |
|
86. |
Quality control is an important issue
at ACME Company, which manufactures light bulbs. To test the life-hours of
their light bulbs, they randomly sampled nine light bulbs and measured how
many hours they lasted (mean = 346.6). |
|
A. |
342.43 |
|
B. |
3424.3 |
|
C. |
58.5 |
|
D. |
191 |
|
E. |
10,609 |
Std Dev = √Variance = √[(Σ (x−
mean)2)/(n −
1)] = √(27,394.24/8) = √3424.28 = 58.5
|
AACSB: Analytical Thinking |
|
|
87. |
In a statistics class, 10 scores were
randomly selected, with the following results: 74, 73, 77, 77, 71, 68, 65,
77, 67, 66. |
|
A. |
77 |
|
B. |
73 |
|
C. |
74 |
|
D. |
67 |
|
E. |
65.9 |
|
AACSB: Analytical Thinking |
|
88. |
In a statistics class, 10 scores were
randomly selected with the following results: 74, 73, 77, 77, 71, 68, 65, 77,
67, 66. |
|
A. |
65.9 |
|
B. |
67.3 |
|
C. |
66.75 |
|
D. |
73.85 |
|
E. |
77.0 |
|
AACSB: Analytical Thinking |
|
|
89. |
In a statistics class, 10 scores were
randomly selected with the following results: 74, 73, 77, 77, 71, 68, 65, 77,
67, 66. |
|
A. |
65.9 |
|
B. |
67.3 |
|
C. |
67.0 |
|
D. |
73.85 |
|
E. |
77.0 |
|
AACSB: Analytical Thinking |
|
90. |
In a statistics class, 10 scores were
randomly selected, with the following results: |
|
A. |
65.5 |
|
B. |
67.3 |
|
C. |
66.75 |
|
D. |
73.85 |
|
E. |
77.0 |
|
AACSB: Analytical Thinking |
|
|
91. |
In a statistics class, 10 scores were
randomly selected with the following results: 74, 73, 77, 77, 71, 68, 65, 77,
67, 66. |
|
A. |
65.5 |
|
B. |
67.3 |
|
C. |
66.75 |
|
D. |
74.0 |
|
E. |
77.0 |
|
AACSB: Analytical Thinking |
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