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. Hair color B. Ages of college freshmen C. 18-hole scores of golfers D. 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