1. The process of using sample statistics to draw conclusions about true population parameters is called
a) statistical inference.
b) the scientific method.
c) sampling.
d) descriptive statistics.
ANSWER: a TYPE: MC DIFFICULTY: Easy
KEYWORDS: inferential statistics
2. Those methods involving the collection, presentation, and characterization of a set of data in order to properly describe the various features of that set of data are called
a) statistical inference.
b) the scientific method.
c) sampling.
d) descriptive statistics.
ANSWER: d TYPE: MC DIFFICULTY: Easy
KEYWORDS: descriptive statistics
3. The collection and summarization of the socioeconomic and physical characteristics of the employees of a particular firm is an example of
a) inferential statistics.
b) descriptive statistics.
c) a parameter.
d) a statistic.
ANSWER: b TYPE: MC DIFFICULTY: Easy
KEYWORDS: descriptive statistics
4. The estimation of the population average family expenditure on food based on the sample average expenditure of 1,000 families is an example of
a) inferential statistics.
b) descriptive statistics.
c) a parameter.
d) a statistic.
ANSWER: a TYPE: MC DIFFICULTY: Easy
KEYWORDS: inferential statistics
5. The universe or "totality of items or things" under consideration is called
a) a sample.
b) a population.
c) a parameter.
d) a statistic.
ANSWER: b TYPE: MC DIFFICULTY: Easy
KEYWORDS: population
6. The portion of the universe that has been selected for analysis is called
a) a sample.
b) a frame.
c) a parameter.
d) a statistic.
ANSWER: a TYPE: MC DIFFICULTY: Easy
KEYWORDS: sample
7. A summary measure that is computed to describe a characteristic from only a sample of the population is called
a) a parameter.
b) a census.
c) a statistic.
d) the scientific method.
ANSWER: c TYPE: MC DIFFICULTY: Easy
KEYWORDS: statistic
8. A summary measure that is computed to describe a characteristic of an entire population