STATISTICS FOR BUSINESS AND ECONOMICS
15TH EDITION
CHAPTER NO. 1: DATA AND STATISTICS
Indicate the answer choice that best completes the statement or answers the question.
1. Statistical studies in which researchers do not control variables of interest are _____ studies.
a. experimental
b. random variable
c. inferential
d. observational
2. Data are
a. always numeric.
b. always non-numeric.
c. the raw material of statistics.
d. always categorical.
3. The Department of Transportation of a city has calculated that on the average there are 17 accidents per
day.
The average number of accidents is an example of
a. descriptive statistics.
b. statistical inference.
c. a sample.
d. a population.
4. Goals scored in a soccer game 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.
5. A population is
a. the same as a sample.
b. the selection of a random sample.
,c. the collection of all items of interest in a study.
d. always the same size as the sample.
6. Which of the following is not a scale of measurement?
a. Nominal
b. Ordinal
c. Interval
d. Observational
7. The subject of data mining deals with
a. methods for developing useful decision-making information from large data bases.
b. keeping data secure so that unauthorized individuals cannot access the data.
c. computational procedure for data analysis.
d. computing the average for data.
8. The set of analytical techniques that yield a best course of action is _____ analytics.
a. prescriptive
b. predictive
c. descriptive
d. diagnostic
9. Since a sample is a subset of the population, the sample mean _____ the mean of the population.
a. is always smaller than
b. is always larger than
c. must be equal to
d. varies around
10. In a random sample of 200 items, 5 items were defective. An estimate of the percentage of defective
items in
the population is
a. 5%.
b. 2.5%.
c. 20%.
d. 10%.
11. In a sample of 1,600 registered voters, 912 or 57% approve of the way the President is doing his job. A
political
pollster estimates: "Fifty-seven 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.
12. 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.
13. In observational studies, the variable of interest
a. is not controlled.
b. is controlled.
c. must be numerical.
d. cannot be numerical.
14. In a post office, the mailboxes are numbered from 1 to 4,500. These numbers represent
a. categorical data.
b. quantitative data.
c. either categorical or quantitative data.
d. since the numbers are sequential, the data is quantitative.
15. The major applications of data mining have been made by companies with a strong _______ focus.
a. wholesale
b. manufacturing
c. consumer
d. research and development
16. Which of the following is a categorical variable?
a. Your age when you began college
b. Your Social Security Number
c. Your statistics class start time
d. Your birth year
17. In a sample of 1,600 registered voters, 912 or 57% approve of the way the President is doing his job.
The 57%
approval is an example of
a. a sample.
b. descriptive statistics.
c. statistical inference.
, d. a population.
18. Census refers to a(n)
a. experimental study to collect data on the entire population.
b. experimental study to collect data on a sample.
c. survey to collect data on a sample.
d. survey to collect data on the entire population.
19. Data collected over several time periods are __ data.
a. time series
b. time controlled
c. cross-sectional
d. periodic
20. How many scales of measurement exist?
a. 2
b. 4
c. 6
d. 8
21. A portion selected to represent the whole is called a
a. survey.
b. population.
c. census.
d. sample.
22. Facts and figures that are collected, analyzed and summarized for presentation and interpretation are
a. variables.
b. elements.
c. time series data.
d. data.
23. 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