Questions Maths
1. The ages of employees
at a small software development company, Crackerjack Networks, are listed
below.
What is the meanage of Crackerjack employees?
·
24
·
25
·
25.25
·
24.5
2.
The ages of employees at a small software development company, Crackerjack Networks, are listed below.
In the event that Natasha Kramerbauer leaves the company to enter an MBA program, what is the medianage of the remaining seven employees?
·
24
·
25
·
25.25
·
24.5
3.
The histogram below
graphically represents the distribution of the number of passengers embarking
from the 135 busiest airports in the United States in 1990.
This distribution is:
Top of Form
·
Uniform.
·
Symmetric.
·
Bimodal.
·
Skewed right.
4.
The histogram below
graphically represents the distribution of the number of passengers embarking
at the 135 busiest airports in the United States in 1990.
Which of the following statements can be inferred from this histogram?
·
The mean number of passengers embarking per airport is greater than the median number of passengers embarking per airport.
·
The median number of passengers embarking per airport is greater than the mean number of passengers embarking per airport.
·
The mean and median numbers of passengers embarking per airport are equal.
·
The relative sizes of the mean and median numbers of passengers embarking per airport cannot be inferred from the histogram.
5.
The scatter diagram
below plots last week's sales and prices of 28 models of portable DVD players
at a consumer electronics retailer.
Which of the following best characterizes the relationship between units sold
and price?
·
Negative and linear.
·
Positive and linear.
·
Positive and nonlinear.
·
Negative and nonlinear.
6.
The correlation coefficient of two variables is 1. This means that:
Top of Form
·
There is no linear relationship between the two variables.
·
There is a perfect linear relationship between the two variables.
·
The two variables are statistically independent.
·
There is a strong nonlinear relationship between the two variables.
7.
Stock 1's closing price
over the last month has a mean of 31.2 and a standard deviation of 1.9. Stock
2's closing price over the last month has a mean of 59.2 and a standard
deviation of 3.3.
Which has the higher coefficient of variation?
Top of Form
·
Stock 1.
·
Stock 2.
·
The coefficients of variation are the same.
·
The answer cannot be determined from the data provided.
8.
Which of the following statements is nottrue about the standard deviation?
Top of Form
·
It is used to measure the variability of a data set.
·
It is the square of the variance.
·
It is the square root of the variance.
·
It is measured in the same units as the units of the data.
9.
After a series of major
corporations admitted to large accounting irregularities, a public policy
research institute conducts a survey to determine whether the public favors
increased governmental regulation and oversight of corporations.
Which of the following questions will deliver an unbiased response?
Top of Form
·
In light of the recent wave of shocking corporate accounting fraud, should government increase its regulation and oversight of corporations?
·
Should privatelyowned companies be subjected to intrusive governmental regulation and oversight?
·
Is the government doing enough to protect American shareholders from corporate greed?
·
None of the above.
10.
In a move to improve
relations with employees, the human resource manager of a company with multiple
departments (marketing, information technology, accounting, etc.) wants to send
surveys out to 50 employees. The surveys contain questions about employees' job
satisfaction.
In order to get the most representative responses, to whom should the manager
send the surveys?
Top of Form
·
To 50 employees in a randomly selected department.
·
To 50 employees selected by an election to represent the workforce.
·
To 50 employees selected randomly by drawing their names from a pool of all employees.
·
To the 50 most recent hires.
11.
GMAT scores are reported
to be distributed normally, with a mean of around 520.
Approximately ninetyfive percent of all testtakers' scores will fall:
Source
Top of Form
·
Within 1 standard deviation of the mean.
·
Within 2 standard deviations of the mean.
·
Within 3 standard deviations of the mean.
·
Above the mean.
12.
In a finance class, the
midterm exam's scores were distributed approximately normally, with mean 13
(out of 20), and standard deviation 4.
Approximately what proportion of the test takers scored no higher than 17?
Top of Form
·
16%.
·
32%.
·
68%.
·
84%.
13.
Which of the following is nottrue about the Normal Distribution?
Top of Form
·
It is completely described by its mean and its standard deviation.
·
Its median is equal to its mode.
·
Its median is equal to its mean.
·
The range of possible outcomes is finite.
Bottom of Form
Bottom of Form
Bottom of Form
14.
The histogram below shows the income distribution pattern of households in the small town of Finedale. Each month, to approximate the average income in the town, the local newspaper surveys 50 randomlyselected households and averages their reported incomes. The survey has been repeated once a month for 3 years.
If the distribution of the averageincomes from the 36 samples is graphed, the distribution will be:
·
Skewed strongly to the left.
·
Skewed strongly to the right.
·
Approximately Normal.
·
Bimodal.
15.
A nutrition researcher
wants to determine the mean fat content of hen's eggs. She collects a sample of
40 eggs. She calculates a mean fat content of 23 grams, with a sample standard
deviation of 8 grams.
What is the 95% confidence interval for this sample?
Top of Form
·
[22.6 grams; 23.4 grams].
·
[7.0 grams; 39.0 grams].
·
[20.5 grams; 25.5 grams].
·
[19.7 grams; 26.3 grams].
16.
A market researcher
plans to sample sales receipts at a natural food store to estimate the average
size (in dollars) of a customer purchase. Previous analysis suggests that the
standard deviation of the purchase amount is approximately $25.
In order to calculate a 95% confidence interval of totalwidth less than $5, how
many sales records should the researcher include in her sample?
Top of Form
·
97.
·
271.
·
385.
·
The answer can not be determined from the information provided.
17.
When calculating a confidence interval for a mean, which of the following measures will reduce the width of the confidence interval?
Top of Form
·
Increasing the confidence level.
·
Decreasing the sample size.
·
Increasing the sample size.
·
None of the above
18.
In a sample of 6
software developers, the mean length of the work week is 60 hours, with
standard deviation 5 hours.
What is the 95% confidence interval for the average work week in the software
development trade?
Top of Form
·
[56.0, 64.0].
·
[55.4, 64.6].
·
[54.6, 63.4].
·
[54.8, 65.2].
19.
The Kingston Review (KR)
is testing a new GMAT question. The KR wants to determine what proportion of
testtakers will answer the question correctly, in order to assess its
difficulty. In a random sample of 144 testtakers, 75% answered the question
correctly.
What is the 95% confidence interval for the proportion of testtakers answering
the question correctly?
Top of Form
·
[65.7%, 84.3%]
·
[67.9 %, 82.1 %]
·
[69.1%, 80.9%]
·
The answer can not be determined from the information provided.
20.
A filling machine in a
brewery is designed to fill bottles with 355 ml of hard cider. In practice,
however, volumes vary slightly from bottle to bottle. The brewer suspects that
the filling machine has been underfilling the bottles. In a sample of 49 bottles,
the mean volume of cider is found to be 354 ml, with a standard deviation of
3.5 ml. To determine if the machine is underfilling bottles, the brewer
performs a onesided hypothesis test.
The best formulation of the null hypothesis is:
Top of Form
·
The true mean cider volume of each bottle is 354 ml.
·
The true mean cider volume of each bottle is at least 355 ml.
·
The machine is underfilling the bottles.
·
The machine is underfilling the bottles by 1 ml.
21.
A market research firm
wants to find out if men and women feel differently about SilkyTouch facial
tissues. In a survey of 90 men, 76% said they had a favorable impression of
SilkyTouch. Out of 182 surveyed women, 64% said they had a favorable impression
of SilkyTouch.
At a 95% confidence level, which conclusion should the research firm draw?
Top of Form
·
Overall, about 70% of the population has a favorable impression of SilkyTouch.
·
Men and women feel differently about SilkyTouch.
·
More women than men have a favorable impression of SilkyTouch.
·
There is insufficient evidence to show that men and women feel differently about SilkyTouch.
22.
A campaign strategist
wants to determine whether demographic shifts have caused a drop in allegiance
to the Uniformian Party in Bowie County. Historically, around 62% of the
county's registered voters have supported the Uniformians. In a survey of 196
registered voters, 57% indicated that they would vote for the Uniformians in
the next election.
Assuming a confidence level of 95% and conducting a onesided hypothesis test,
which of the following should the strategist do?
Top of Form
·
Accept the hypothesis that the proportion of Uniformian voters has not changed.
·
Accept the hypothesis that the proportion of Uniformian voters has decreased.
·
Conclude that the proportion of Uniformian voters is now between 56% and 62%.
·
There is not enough evidence to support the hypothesis that the proportion of Uniformian voters has decreased.
23.
A manufacturer of guitar
amplifiers markets one of its models, Vagabond, at a power rating of 45 watts.
GuitarGod magazine suspects that this rating is inaccurate for this year's
model of the amp. In a random sample of 32 units of this year's version of the
Vagabond the mean output power is 42 watts, with a standard deviation of 8
watts.
Assuming a confidence level of 95%, which of the following statements do these
data support?
Top of Form
·
This year's Vagabond's output power is 45 watts.
·
This year's Vagabond's output power is 42 watts.
·
This year's Vagabond's output power is not 45.
·
None of the above.
Bottom of Form
Bottom of Form
24.
The regression analysis below characterizes the relationship between monthly ice cream consumption (in pints per household) and the independent variable "average monthly temperature" (in degrees Fahrenheit).
At what level of significance is the relationship between ice cream consumption and temperature statistically significant?
·
0.05
·
0.01
·
0.001
·
All of the above.
26.
The regression analysis
below characterizes the relationship between monthly ice cream consumption (in
pints per household) and the independent variable "average monthly
temperature" (in degrees Fahrenheit).
Which of the following statements about the term "1.797" is true?
·
It tells us the maximum amount above which ice cream consumption cannot
possibly grow.
·
It tells us the minimum amount below which ice cream consumption cannot possibly fall.
·
It tells us the xintercept of the regression equation.
·
It tells us the yintercept of the regression equation.
27.
The regression analysis
below characterizes the relationship between monthly ice cream consumption (in
pints per household) and the independent variable "average monthly
temperature" (in degrees Fahrenheit).
A reasonably accurate prediction would be that:
·
If the average monthly temperature is 48 degrees, average per household ice cream consumption will be around 3.1 pints.
·
If average monthly temperature is 48 degrees, average per household ice cream consumption will be around 2.6 pints.
·
If average monthly temperature is 48 degrees, average per household ice cream consumption will be around 86.3 pints.
·
If average monthly temperature is 48 degrees, average per household ice cream consumption will be around 1.3 pints.
28.
The regression analysis
below characterizes the relationship between monthly ice cream consumption (in
pints per household) and the independent variable "average monthly
temperature" (in degrees Fahrenheit). The Multiple R value, 0.8409 tells
us the correlation between the dependent and independent variables. The
Rsquared value is 71%.
Based on these measures, we can conclude that:
· The variation in average monthly temperature explains about 71% of the variation in household ice cream consumption.
·
The variation in average monthly temperature explains about 84% of the variation in household ice cream consumption.
·
Predictions about future household ice cream sales will be correct within a 71% confidence interval.
·
Predictions about future household ice cream sales will be correct within an 84% confidence interval
29.
The scatter diagram and
regression line below characterize the relationship between monthly ice cream
consumption (in pints per household) and the independent variable "average
monthly temperature" (in degrees Fahrenheit).
The residual errors are defined as:
·
The vertical distances from the data points to the horizontal axis.
·
The horizontal distances from the data points to the vertical axis.
·
The vertical distances from the data points to the regression line.
·
The shortest distance from the data points to the regression line.
30.
The regression analysis
below characterizes the relationship between monthly ice cream consumption (in
pints per household) and the independent variables "average monthly
temperature" (in degrees Fahrenheit) and "average price" (in
dollars per pint).
At a significance level of 0.05, which independent variables contribute
significantly to the consumption of ice cream?
· Average monthly temperature only.
·
Average price of a pint of ice cream only.
·
Both independent variables.
·
Neither independent variable.
31.
The regression analysis
below characterizes the relationship between monthly ice cream consumption (in
pints per household) and the independent variables "average monthly
temperature" (in degrees Fahrenheit) and "average price" (in
dollars per pint).
The coefficient of 0.027 for average monthly temperature informs us about:
· The relationship between temperature and ice cream consumption when not controlling for price (i.e. allowing price to range freely).
·
The relationship between temperature and ice cream consumption when controlling for price (i.e. fixing price).
·
The relationship between temperature and ice cream price when controlling for consumption (i.e. fixing consumption).
·
The relationship between temperature and ice cream price when not controlling for consumption (i.e. allowing consumption to range freely).
32.
The regression analysis
below characterizes the relationship between the current month's ice cream
consumption (in pints per household) and the independent variables
"current month's average temperature" (in degrees Fahrenheit),
"previous month's average temperature" (in degrees Fahrenheit), and
"average price" (in dollars per pint).
In this analysis, the variable "previous month's temperature" is:
·
A lagged variable.
·
A dependent variable.
·
Not statistically significant at the 0.05 level.
·
All of the above.
33.
The regression analysis
at the bottom characterizes the relationship between the daily number of
visitors at an amusement park and the variable "school day."
"School day" is an independent variable that is equal to 1 when a
given day is a school day and equal to 0 when it is not.
The coefficient of 13,644 tells us that:
· On average, the number of visitors on school days is 13,644 lower than on nonschool days.
·
On every school day, the number of visitors is exactly 13,644 lower than on nonschool days.
·
On average, the number of visitors on school days is 13,644.
·
On average, the number of visitors on nonschool days is 13,644.
34.
When an additional independent variable is added to a regression analysis, which of the following could be indications of multicollinear independent variables?
·
A drop in Rsquared and a drop in significance for one or more independent variable.
·
A drop in adjusted Rsquared and an increase in significance for one or more independent variable.
·
An increase in adjusted Rsquared and an increase in significance for one or more independent variable.
·
An increase in adjusted Rsquared and a drop in significance for one or more independent variable.
35.
In a regression analysis, which of the followingcannothappen when a new independent variable is added?
·
Rsquared increases and adjusted Rsquared increases.
·
Rsquared increases and adjusted Rsquared decreases.
·
Rsquared decreases and adjusted Rsquared decreases.
·
Any of the above can occur when a new independent variable is added.
36.
The table below displays
data on the composition and performance of the Massachusetts Bubble Growth
(MBG) technology stock fund over the last year. The table includes data on the distribution
of stocks in the fund by technology sector (information technology (IT) or
biotechnology) and by last year's "performance" (positive or negative
net change in share price over the last year).
What is the probability that a randomlychosen MBG stock is a biotech stock?
·
30%
·
23%
·
7%
·
None of the above.
37.
The table below displays
data on the composition and performance of the Massachusetts Bubble Growth
(MBG) technology stock fund over the last year. The table includes data on the
distribution of stocks in the fund by technology sector (information technology
(IT) or biotechnology) and by last year's "performance" (positive or
negative net change in share price over the last year).
What is the conditional probability that an MBG stock had a positive change in
share price, given that it is an IT stock?
·
24.3%
·
42.5%
·
40.0%
·
None of the above
38.
The table below displays
data on the composition and performance of the Massachusetts Bubble Growth
(MBG) technology stock fund over the last year. The table includes data on the
distribution of stocks in the fund by technology sector (information technology
(IT) or biotechnology) and by last year's "performance" (positive or
negative net change in share price over the last year).
Regarding the stocks that made up the MBG fund last year, which of the
following statements is true?
·
The fact that a given stock's performance was positive tells us nothing about its sector.
·
The fact that a given stock is from the biotech sector tells us nothing about its performance.
·
None of the above.
39.
Jaune Magazine (JM) must
decide whether or not to publish a tellall story about a celebrity. If the
story ends up having major impact, JM will realize substantial profits from
additional magazine sales, subscriptions, and advertising revenues. However, if
JM publishes the story, JM will face a lawsuit; if it loses the suit, the
penalties could be substantial. The tree below summarizes JM's decision.
What is the expected monetary value of publishing the story?
·
$10,000
·
$10,000
·
$26,000
·
$90,000
40.
Jaune Magazine (JM) must
decide whether or not to publish a tellall story about a celebrity. If the
story ends up having major impact, JM will realize substantial profits from
additional magazine sales, subscriptions, and advertising revenues. However, if
JM publishes the story, JM will face a lawsuit; if it loses the suit, the
penalties could be substantial. The tree below summarizes JM's decision.
The EMV of publishing the story is $10,000. Based on this EMV, JM should
publish the story. If the publisher chooses not to publish the story, which of
the following best describes the publisher's attitude towards this decision?
40.
Jaune Magazine (JM) must decide whether or not to publish a
tellall story about a celebrity. If the story ends up having major impact, JM
will realize substantial profits from additional magazine sales, subscriptions,
and advertising revenues. However, if JM publishes the story, JM will face a
lawsuit; if it loses the suit, the penalties could be substantial. The tree
below summarizes JM's decision.
The EMV of publishing the story is $10,000. Based on this EMV, JM should
publish the story. If the publisher chooses not to publish the story, which of
the following best describes the publisher's attitude towards this decision?
41.
Jaune Magazine (JM) must
decide whether or not to publish a tellall story about a celebrity. If the
story ends up having major impact, JM will realize substantial profits from
additional magazine sales, subscriptions, and advertising revenues. However, if
JM publishes the story, JM will face a lawsuit; if it loses the suit, the
penalties could be substantial. The tree below summarizes JM's decision.
The EMV of publishing the story is $10,000. Based on this EMV, JM should
publish the story. For what values of p = Prob[story has major impact] is
publishing the story preferable to not publishing the story on the basis of
EMV?
· p < 10%
·
p > 10%
·
p < 90%
·
None of the above.
42.
Jaune Magazine (JM) must
decide whether or not to publish a tellall story about a celebrity. If the
story ends up having major impact, JM will realize substantial profits from
additional magazine sales, subscriptions, and advertising revenues. However, if
JM publishes the story, JM will face a lawsuit; if it loses the suit, the
penalties could be substantial. The tree below summarizes JM's decision.
If JM publishes the story, the publisher may feel remorse for having violated
the celebrity's privacy. For what values of the cost of remorse would not
publishing the story be preferable to publishing the story on the basis of EMV?
·
Higher than $10,000
·
Lower than $10,000
·
Lower than $12,500
·
None of the above.
43.
The manager of the Regal Beverage Company (RBC) must decide whether or not to market a new soft drink flavor. The new drink's success depends heavily on consumer reaction to it. An initial decision analysis based on available data reveals that the expected monetary value of marketing the new drink is $200,000. The EMV of buying perfect information for this decision is $50,000, as shown in the tree below. A market research firm offers to do market research for RBC at a cost of $30,000. Although not perfect, the market research should give RBC some information about potential customer reaction to the new flavor.
Based on an EMV analysis, RBC's manager should:
· Buy the research firm's sample information.
·
Not buy the research firm's sample information, but market the new drink.
·
Not buy the research firm's sample information and not market the new drink.
·
The answer cannot be determined from the information provided.
Bottom of Form
Bottom of Form
Bottom of Form
Bottom of Form
Bottom of Form
Bottom of Form
Bottom of Form
Bottom of Form
Bottom of Form
Bottom of Form
Bottom of Form
Bottom of Form
Bottom of Form
Bottom of Form

Rating:
5/
Solution: Questions Maths