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Q:
A recent issue of Fortune Magazine reported that the following companies had the lowest sales per employee among the Fortune 500 companies.CompanySales per Employee ($1000s)Sales RankSeagate Technology$42.20285SSMC42.19414Russell41.99480Maxxam40.88485Dibrell Brothers22.56470a. How many elements are in the above data set?b. How many variables are in the above data set?c. How many observations are in the above data set?d. Name the scale of measurement for each of the variables.e. Name the variables and indicate whether they are categorical or quantitative.
Q:
After the graduation ceremonies at a university, six graduates were asked whether they were in favor of (identified by 1) or against (identified by 0) abortion. Some information about these graduates is shown below.GraduateSexAgeAbortion IssueClass RankNancyF2213MichaelM2112TammyF3301JohnM38020MarleneF2514DavidM1908a. How many elements are in the data set?b. How many variables are in the data set?c. How many observations are in the data set?d. Name the scale of measurement for each of the above (Sex, Age, Abortion Issue, Class rank).e. Which of the above (Sex, Age, Abortion Issue, Class rank) are categorical and which are quantitative variables?f. Are arithmetic operations appropriate for the variable "abortion issue"?
Q:
In the textbook, a worksheet that displays the Excel formulas used to create the results shown in the value worksheet is aa. value worksheetb. formula worksheetc. data set worksheetd. sample worksheet
Q:
In the textbook, a worksheet that displays the data for the problem and shows the results of the analysis is a
a. value worksheet
b. formula worksheet
c. data set worksheet
d. sample worksheet
Q:
__________ is a spreadsheet package.
a. Statistical inference
b. The bar chart
c. The New York Stock Exchange
d. Microsoft Excel
Q:
A sample of five Fortune 500 companies showed the following industry codes: banking, banking, finance, retail, and banking. Based on this information, which of the following statements is correct?
a. Sixty percent of the sample of five companies are banking industries.
b. Sixty percent of all Fortune 500 companies are banking industries.
c. Banking is the most common type of industry among all Fortune 500 companies.
d. If five other Fortune 500 companies were chosen, 60% of them would be banking industries.
Q:
A sample of five Fortune 500 companies showed the following revenues ($ millions): 7505.0, 2904.7, 7208.4, 6819.0, and 19500.0. Based on this information, which of the following statements is correct?
a. An estimate of the average revenue for all Fortune 500 companies is 8787.42 ($ millions).
b. The average revenue for all Fortune 500 companies is 8787.42 ($ millions).
c. Over half of all Fortune 500 companies earn at least 7208.4 ($ millions) in revenues.
d. If five other Fortune 500 companies were chosen, the average revenue would be 8787.42 ($ millions).
Q:
Since a sample is a subset of the population, a percentage that is calculated from the sample data
a. is always smaller than the corresponding percentage from the population
b. is always larger than the corresponding percentage from the population
c. must be equal to the corresponding percentage from the population
d. can be larger, smaller, or equal to the corresponding percentage from the population
Q:
Since a sample is a subset of the population, the sample mean
a. is always smaller than the mean of the population
b. is always larger than the mean of the population
c. must be equal to the mean of the population
d. can be larger, smaller, or equal to the mean of the population
Q:
The average age in a sample of 90 students at City College is 20. As a result of this sample, it can be concluded that the average age of all the students at City College
a. must be more than 20, since the population is always larger than the sample
b. must be less than 20, since the sample is only a part of the population
c. could not be 20
d. could be larger, smaller, or equal to 20
Q:
In a post office, the mailboxes are numbered from 1 to 5,000. These numbers represent
a. categorical data
b. time series data
c. either categorical or quantitative data
d. since the numbers are sequential, the data is quantitative
Q:
The process of analyzing sample data in order to draw conclusions about the characteristics of a population is called
a. descriptive statistics
b. statistical inference
c. data analysis
d. data summarization
Q:
Refer to Exhibit 1-2. A political pollster states, "Forty five percent of all voters approve of the President." This statement is an example of
a. a sample
b. descriptive statistics
c. statistical inference
d. a population
Q:
Exhibit 1-2In a sample of 3,200 registered voters, 1,440, or 45%, approve of the way the President is doing his job.Refer to Exhibit 1-2. The 45% approval is an example ofa. a sampleb. descriptive statisticsc. statistical inferenced. a population
Q:
Refer to Exhibit 1-1. The manager's statement that 60% of Daisy City's 3,000 homes are in violation of city codes isa. an exactly correct statementb. only an approximation, since it is based upon sample informationc. obviously wrong, since it is based upon a study of only 200 homesd. None of the other answers are correct.
Q:
Refer to Exhibit 1-1. The Daisy City study described above is an example of the use of a
a. census
b. sample
c. probability
d. population
Q:
Exhibit 1-1In a recent study based upon an inspection of 200 homes in Daisy City, 120 were found to violate one or more city codes.Refer to Exhibit 1-1. The city manager released a statement that 60% of Daisy City's 3,000 homes are in violation of city codes. The manager's statement is an example ofa. a censusb. an experimentc. descriptive statisticsd. statistical inference
Q:
The Department of Transportation of a city has noted that on the average there are 14 accidents per day. The average number of accidents is an example ofa. descriptive statisticsb. statistical inferencec. a sampled. a population
Q:
The owner of a factory regularly requests a graphical summary of all employees' salaries. The graphical summary of salaries is an example of
a. a sample
b. descriptive statistics
c. statistical inference
d. an experiment
Q:
A statistics professor asked students in a class their ages. On the basis of this information, the professor states that the average age of all the students in the university is 21 years. This is an example of
a. a census
b. descriptive statistics
c. an experiment
d. statistical inference
Q:
Six hundred residents of a city are polled to obtain information on voting intentions in an upcoming city election. The six hundred residents in this study is an example of a(n)
a. census
b. sample
c. observation
d. population
Q:
In a sample of 800 students in a university, 160, or 20%, are Business majors. Based on the above information, the school's paper reported that "20% of all the students at the university are Business majors." This report is an example of
a. a sample
b. a population
c. statistical inference
d. descriptive statistics
Q:
In a sample of 800 students in a university, 360, or 45%, live in the dormitories. The 45% is an example of
a. a sample
b. a population
c. statistical inference
d. descriptive statistics
Q:
A portion of the population selected to represent the population is called
a. statistical inference
b. descriptive statistics
c. a census
d. a sample
Q:
The collection of all elements of interest in a particular study is
a. the population
b. the sampling
c. statistical inference
d. descriptive statistics
Q:
Statistical inference
a. refers to the process of drawing inferences about the sample based on the characteristics of the population
b. is the same as descriptive statistics
c. is the process of drawing inferences about the population based on the information taken from the sample
d. is the same as a census
Q:
A Scanner Data User Survey of 50 companies found that the average amount spent on scanner data per category of consumer goods was $387,325 (Mercer Management Consulting, Inc., April 24, 1997). The $387,325 is an example of
a. categorical data
b. quantitative data
c. a descriptive statistic
d. Both quantitative data and a descriptive statistic are correct.
Q:
The summaries of data, which may be tabular, graphical, or numerical, are referred to as
a. inferential statistics
b. descriptive statistics
c. statistical inference
d. report generation
Q:
The most common type of observational study is
a. an experimental study
b. a survey
c. an element
d. a bar graph
Q:
Which of the following is NOT an example of a firm that sells or leases business database services to clients?
a. Dun & Bradstreet
b. Bloomberg
c. The Bureau of the Census
d. All of these answers are examples of firms that sell or lease business database services to clients.
Q:
Which of the following is NOT an example of an existing source of data?
a. The Internet
b. Internal company records
c. The Bureau of the Census
d. All of these are examples of existing sources of data.
Q:
__________ is an example of an existing source of data.
a. An experimental study
b. An uncontrolled experimental study
c. The Bureau of the Census
d. An observational study
Q:
Statistical studies in which researchers control variables of interest are
a. experimental studies
b. control observational studies
c. non experimental studies
d. observational studies
Q:
Statistical studies in which researchers do not control variables of interest are
a. experimental studies
b. uncontrolled experimental studies
c. not of any value
d. observational studies
Q:
Data collected over several time periods are
a. time series data
b. time controlled data
c. cross-sectional data
d. time cross-sectional data
Q:
Data collected at the same, or approximately the same, point in time are
a. time series data
b. approximate time series data
c. cross-sectional data
d. approximate data
Q:
The profits earned by a particular Fortune 500 company, measured in millions of dollars, is an example of
a. categorical data
b. either categorical or quantitative data
c. dollar data
d. quantitative data
Q:
The weight of a ball bearing, measured in milligrams, is an example of
a. categorical data
b. either categorical or quantitative data
c. dollar data
d. quantitative data
Q:
The birth weight of newborns, measured in grams, is an example of
a. categorical data
b. either categorical or quantitative data
c. dollar data
d. quantitative data
Q:
Income is an example of
a. categorical data
b. either categorical or quantitative data
c. dollar data
d. quantitative data
Q:
For ease of data entry into a university database, 1 denotes that the student is an undergraduate and 2 denotes that the student is a graduate student. In this case data are
a. categorical
b. quantitative
c. either categorical or quantitative
d. neither categorical nor quantitative
Q:
Temperature is an example of
a. a categorical variable
b. a quantitative variable
c. either a quantitative or categorical variable
d. neither a quantitative nor categorical variable
Q:
In an application for a credit card, potential customers are asked for their social security numbers. A social security number is an example of a
a. categorical variable
b. quantitative variable
c. categorical or quantitative variable, depending on how the respondents answered the question
d. ratio variable
Q:
In a questionnaire, respondents are asked to record their age in years. Age is an example of a
a. categorical variable
b. quantitative variable
c. categorical or quantitative variable, depending on how the respondents answered the question
d. ratio variable
Q:
In a questionnaire, respondents are asked to mark their gender as male or female. Gender is an example of a
a. categorical variable
b. quantitative variable
c. categorical or quantitative variable, depending on how the respondents answered the question
d. ratio variable
Q:
Arithmetic operations are inappropriate for
a. categorical data
b. quantitative data
c. both categorical and quantitative data
d. large data sets
Q:
Ordinary arithmetic operations are meaningful
a. only with categorical data
b. only with quantitative data
c. either with quantitative or categorical data
d. with rank data
Q:
Categorical data
a. indicate either how much or how many
b. can not be numeric
c. are labels used to identify attributes of elements
d. must be nonnumeric
Q:
Categorical data
a. are always nonnumeric
b. may be either numeric or nonnumeric
c. are always numeric
d. indicate either how much or how many
Q:
Quantitative data
a. are always nonnumeric
b. may be either numeric or nonnumeric
c. are always numeric
d. are always labels
Q:
Which of the following variables uses the ratio scale of measurement?
a. name of stock exchange
b. time
c. SAT score
d. Social Security number
Q:
Which of the following variables use the interval scale of measurement?
a. name of stock exchange
b. time
c. SAT scores
d. Social Security number
Q:
Which scale of measurement can be either numeric or nonnumeric?
a. nominal
b. ordinal
c. interval
d. nominal and ordinal
Q:
When the data have the properties of interval data and the ratio of two values is meaningful, the variable has which scale of measurement?
a. nominal
b. ordinal
c. interval
d. ratio
Q:
When the data have the properties of ordinal data and the interval between observations is expressed in terms of a fixed unit of measure, the variable has which scale of measurement?
a. nominal
b. ordinal
c. interval
d. ratio
Q:
When the data are labels or names used to identify an attribute of the elements and the rank of the data is meaningful, the variable has which scale of measurement?
a. nominal
b. ordinal
c. interval
d. ratio
Q:
When the data are labels or names used to identify an attribute of the elements, the variable has which scale of measurement?
a. nominal
b. ordinal
c. interval
d. ratio
Q:
Which of the following is NOT a scale of measurement?
a. nominal
b. ordinal
c. interval
d. All of these are scales of measurement.
Q:
In a data set, the number of observations will always be the same as the number of
a. variables
b. elements
c. data sets
d. data
Q:
All the data collected in a particular study are referred to as the
a. census
b. inference
c. variable
d. data set
Q:
A characteristic of interest for the elements is called a(n)
a. sample
b. data set
c. variable
d. observation
Q:
The set of measurements collected for a particular element is (are) called
a. census
b. variables
c. observations
d. samples
Q:
The entities on which data are collected are
a. elements
b. populations
c. sets
d. samples
Q:
Facts and figures that are collected, analyzed and summarized for presentation and interpretation are
a. data
b. variables
c. elements
d. Both variables and elements are correct.
Q:
Which of the following is an example of quantitative data?a. the player's number on a baseball uniformb. the serial number on a one-dollar billc. the part number of an inventory itemd. the number of people in a waiting line
Q:
Which of the following is not an example of descriptive statistics?
a. a histogram depicting the age distribution for 30 randomly selected students
b. an estimate of the number of Alaska residents who have visited Canada
c. a table summarizing the data collected in a sample of new-car buyers
d. the proportion of mailed-out questionnaires that were returned
Q:
Which of the following is an example of qualitative data?
a. a social security number
b. a score on a multiple-choice exam
c. the height, in meters, of a diving board
d. the number of square feet of carpet
Q:
The number observations in a complete data set having 10 elements and 5 variables is
a. 5
b. 10
c. 25
d. 50
Q:
A major department store has determined that its customers charge an average of $500 per month, with a standard deviation of $80. Assume the amounts of charges are normally distributed.a. What percentage of customers charges more than $380 per month?b. What percentage of customers charges less than $340 per month?c. What percentage of customers charges between $644 and $700 per month?
Q:
The salaries at a corporation are normally distributed with an average salary of $19,000 and a standard deviation of $4,000.a. What is the probability that an employee will have a salary between $12,520 and $13,480?b. What is the probability that an employee will have a salary more than $11,880?c. What is the probability that an employee will have a salary less than $28,440?
Q:
The miles-per-gallon obtained by the 1995 model Q cars is normally distributed with a mean of 22 miles-per-gallon and a standard deviation of 5 miles-per-gallon.a. What is the probability that a car will get between 13.35 and 35.1 miles-per-gallon?b. What is the probability that a car will get more than 29.6 miles-per-gallon?c. What is the probability that a car will get less than 21 miles-per-gallon?d. What is the probability that a car will get exactly 22 miles-per-gallon?
Q:
Z is a standard normal variable. Find the value of z in the following.a. The area between 0 and zis 0.4678.b. The area to the right of zis 0.1112.c. The area to the left of zis 0.8554d. The area between -zand zis 0.754.e. The area to the left of -zis 0.0681.f. The area to the right of -zis 0.9803.
Q:
Z is a standard normal random variable. Compute the following probabilities.
Q:
Z is a standard normal random variable. Compute the following probabilities.
Q:
For the standard normal distribution, determine the probability of obtaining a z value a. greater than zero.b. between -2.34 to -2.55c. less than 1.86.d. between -1.95 to 2.7.e. between 1.5 to 2.75.
Q:
The length of time patients must wait to see a doctor in a local clinic is uniformly distributed between 15 minutes and 2 1/2 hours. a. Define the random variable in words.b. What is the probability of a patient waiting exactly 50 minutes?c. What is the probability that a patient would have to wait between 45 minutes and 2 hours?d. Compute the probability that a patient would have to wait over 2 hours.e. Determine the expected waiting time and its standard deviation.
Q:
The advertised weight on a can of soup is 10 ounces. The actual weight in the cans follows a uniform distribution and varies between 9.3 and 10.3 ounces. a. Give the mathematical expression for the probability density function.b. What is the probability that a can of soup will have between 9.4 and 10.3 ounces?c. What is the mean weight of a can of soup?d. What is the standard deviation of the weight?
Q:
The length of time it takes students to complete a statistics examination is uniformly distributed and varies between 40 and 60 minutes. a. Find the mathematical expression for the probability density function.b. Compute the probability that a student will take between 45 and 50 minutes to complete the examination.c. Compute the probability that a student will take no more than 40 minutes to complete the examination.d. What is the expected amount of time it takes a student to complete the examination?e. What is the variance for the amount of time it takes a student to complete the examination?
Q:
The time it takes to hand carve a guitar neck is uniformly distributed between 110 and 190 minutes. a. What is the probability that a guitar neck can be carved between 95 and 165 minutes?b. What is the probability that the guitar neck can be carved between 120 and 200 minutes?c. Determine the expected completion time for carving the guitar neck.d. Compute the standard deviation.
Q:
The price of a stock is uniformly distributed between $30 and $40. a. What is the probability that the stock price will be more than $37?b. What is the probability that the stock price will be less than or equal to $32?c. What is the probability that the stock price will be between $34 and $38?d. Determine the expected price of the stock.e. Determine the standard deviation for the stock price.