Test Bank for - Gregory Privitera (All Chapters,) Instructor R...

Test Bank for Statistics for the Behavioral Sciences, 3e Gregory Privitera (All Chapters,) 1 / 4

Instructor Resource Privitera, Statistics for the Behavioral Sciences, 3rd edition SAGE Publishing, 2018

Chapter 1: Introduction to Statistics

Test Bank

Multiple Choice

• The use of tables and graphs to summarize data is an example of
• inferential statistics.
• interpretation.
• descriptive statistics.
• generalization.

Ans: C

Learning Objective: 1-1: Distinguish between descriptive and inferential statistics.

Cognitive Domain: Knowledge

Answer Location: Descriptive and Inferential Statistics

Difficulty Level: Easy

• Statistical analysis allows researchers to
• collect data.
• claim that an observation is scientific.
• evaluate scientific observations.
• study physical phenomena but not behavior.

Ans: C

Learning Objective: 1-1: Distinguish between descriptive and inferential statistics.

Cognitive Domain: Knowledge

Answer Location: Descriptive and Inferential Statistics

Difficulty Level: Easy

• Procedures that allow researchers to infer or generalize observations made with

samples to the larger population from which they were selected best describe

• inferential statistics.
• sample statistics.
• descriptive statistics.
• population parameters.

Ans: A

Learning Objective: 1-1: Distinguish between descriptive and inferential statistics.

Cognitive Domain: Knowledge

Answer Location: Descriptive and Inferential Statistics

Difficulty Level: Easy

• Descriptive statistics are procedures used to 2 / 4

Instructor Resource Privitera, Statistics for the Behavioral Sciences, 3rd edition SAGE Publishing, 2018

• summarize a set of scores or observations.
• organize a set of scores or observations.
• make sense of a set of scores or observations.
• all of these

Ans: D

Learning Objective: 1-1: Distinguish between descriptive and inferential statistics.

Cognitive Domain: Knowledge

Answer Location: Descriptive and Inferential Statistics

Difficulty Level: Easy

• A researcher records the number of votes for each of five candidates running for

class president. Based on her presentation of the following results, what type of statistics did she use?Candidate Number of Votes A 120 B 125 C 42 D 203 E 20

• inferential statistics
• descriptive statistics
• population statistics
• deceptive statistics

Ans: B

Learning Objective: 1-1: Distinguish between descriptive and inferential statistics.

Cognitive Domain: Comprehension

Answer Location: Descriptive and Inferential Statistics

Difficulty Level: Easy

• Which of the following describes a descriptive statistic?
• summarize
• infer
• generalize
• predict

Ans: A

Learning Objective: 1-1: Distinguish between descriptive and inferential statistics.

Cognitive Domain: Knowledge

Answer Location: Descriptive and Inferential Statistics

Difficulty Level: Easy

• Suppose that a researcher is interested in a group of 10 million people who paid to

see a movie in theaters. In this example, the 10 million moviegoers would be regarded as

• a sample of moviegoers who paid to see the movie in a theater.
• a population of moviegoers who paid to see the movie in a theater. 3 / 4

Instructor Resource Privitera, Statistics for the Behavioral Sciences, 3rd edition SAGE Publishing, 2018

• an independent variable.
• a dependent variable.

Ans: B

Learning Objective: 1-2: Explain how samples and populations, as well as a sample statistic and population parameter, differ.

Cognitive Domain: Comprehension

Answer Location: Descriptive and Inferential Statistics

Difficulty Level: Medium

• Researchers measure data in a ______ to learn more about individuals in the larger

______ of interest.

• sample; population
• statistic; inference
• population; sample
• inference; statistic

Ans: A

Learning Objective: 1-2: Explain how samples and populations, as well as a sample statistic and population parameter, differ.

Cognitive Domain: Knowledge

Answer Location: Descriptive and Inferential Statistics

Difficulty Level: Easy

• Researchers rarely have access to entire populations. How do researchers resolve

this limitation?

• They do not need to resolve this; it is not a limitation at all.
• They record data from an entire population of people to make inferences concerning

characteristics in a sample.

• They record data from as many persons in a population as possible to draw

conclusions concerning only those individuals.

• They record data from a sample of people in the larger population in order to make

inferences concerning characteristics in that larger population.

Ans: D

Learning Objective: 1-2: Explain how samples and populations, as well as a sample statistic and population parameter, differ.

Cognitive Domain: Knowledge

Answer Location: Descriptive and Inferential Statistics

Difficulty Level: Easy

• A characteristic (usually numeric) that describes a sample is called a
• sample.
• sample statistic.
• population.
• population parameter.

Ans: B

Learning Objective: 1-2: Explain how samples and populations, as well as a sample statistic and population parameter, differ.

• / 4