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The term qualitative means
A. considerations that are nonnumeric in decision making.
B. considerations that are numeric in decision making.
C. both a and b.
D. qualities.
E. making quality decisions.
Choose the item that best completes the following
statement: No matter what the variable is, if the tool of
measurement is precise enough, there will be __________.
A. uncertainty
B. variability
C. probability
D. measurability
In the 1936 presidential election, Alfred Landon was
predicted (incorrectly) to beat Franklin D. Roosevelt
based on the results of a telephone survey. Because
telephones were considered a luxury item during this
period, the survey was biased because it related only to
the opinion of those who could be reached by
telephone. This incident represents which of the
following?
A. An improperly defined parameter
B. An improperly defined sampling frame
C. A poorly defined population
D. A sample with no statistic defined for the sample
Which of the following data types
would be considered attribute data?
• A.
•
B.
•
C.
•
D.
Hair color
Ages of college freshmen
18-hole scores of golfers
Shoe size of third-grade students
Which of the following data types would not be considered quantitative
data?
A. Heights of basketball players
B. Weights of newborn babies
C. Grade point averages of college sophomores
D. Zip codes within the state of Ohio
Consider the following data: like, no preference, or
dislike. Which of the following best describes these
data?
A. Qualitative data
B. Numerical data
C. Quantitative data
D. Statistic
Which of the following best describes the
following data: classifications of unlikely, likely,
or very likely to describe possible buying of a
product?
A. Attribute data
B. Numerical data
C. Quantitative data
D. Sample data
A quantitative variable that can assume an
uncountable number of values is called a
__________.
A. discrete variable
B. continuous variable
C. random variable
D. unlimited variable
A quantitative variable that can assume a
countable number of values is called a
__________.
A. discrete variable
B. statistic
C. continuous variable
D. Population
Another name for qualitative data is
__________.
A. numerical data
B. characteristic data
C. distribution data
D. attribute data
Eye color is an example of __________.
A. qualitative data
B. numerical data
C. quantitative data
D. real-time data
Inferential statistics involves __________.
A. collecting and describing data
B. interpreting results from the data
C. creating small samples
D. all of the above
Descriptive statistics includes __________.
A. a collection of sample data
B. a presentation of sample data
C. a description of sample data
D. all of the above.
A subset of a population is called a __________.
A. sample
B. group
C. best fit
D. least square
In statistics, what name do we give to a set of all
individuals whose properties are to be analyzed?
A. Sample
B. Population
C. Midrange
D. Variance
In statistics, what name do we give to a
numerical characteristic of a population?
A. Parameter
B. Sample
C. Deviation
D. Normal distribution
A company has developed a new battery, but the
average lifetime is unknown. To estimate this
average, a sample of 100 batteries is tested, and the
average lifetime of this sample is found to be 250
hours. The 250 hours is the value of a
A. parameter.
B. statistic.
C. sampling frame.
D. population.
Consider the following data: the weights of
babies born in a given hospital. Which of the
following best describes these data?
A. Attribute data
B. Qualitative data
C. Quantitative data
D. Statistic
Consider the following data: the height in
centimeters of children in a third-grade class.
Which of the following best describes these
data?
A. Attribute data
B. Qualitative data
C. Quantitative data
D. Sample data
Which of the following best describes the
following data: zip codes for students
attending college in the state of Michigan?
A. Attribute data
B. Numerical data
C. Quantitative data
D. Sample data
A quantitative variable that can assume a
countable number of values is called a
__________.
A. discrete variable
B. statistic
C. continuous variable
D. population