TEST BANK COMPLETE_
BASIC BUSINESS STATISTICS 15TH EDITION, (2024)
BY MARK L. BERENSON; DAVID M. LEVINE; KATHRYN A. SZABAT; DAVID F. STEPHAN
ALL CHAPTER 1-20| LATEST VERSION WITH VERIFIED ANSWERS| RATED A+
15th edition
chapter: ftf first things first _____________________________________________________ 3
,chapter 1: defining and collecting data___________________________________________ 18
chapter 2: tabular and visual summarization of variables ____________________________ 73
chapter 3: numerical descriptive measures_______________________________________ 148
chapter 4: basic probability ___________________________________________________ 200
chapter 5: discrete probability distributions ______________________________________ 253
chapter 6: the normal distribution and other continuous distributions ________________ 303
chapter 7: sampling distributions ______________________________________________ 348
chapter 8: confidence interval estimation _______________________________________ 384
chapter 9: fundamentals of hypothesis testing: one-sample tests ____________________ 441
chapter 10: two-sample tests _________________________________________________ 506
chapter 11: analysis of variance _______________________________________________ 592
chapter 12: chi-square and nonparametric tests __________________________________ 663
chapter 13: simple linear regression ____________________________________________ 733
chapter 14: introduction to multiple regression ___________________________________ 858
chapter 15: more complex multiple regression models ____________________________ 1008
chapter 16: time-series forecasting ____________________________________________ 1057
chapter 17: business analytics ________________________________________________ 1092
chapter 18: getting ready to analyze data in the future ___________________________ 1221
chapter 19: statistical applications in quality management (online) _________________ 1286
chapter 20: decision making (online) __________________________________________ 1325
,chapter: ftf first things first
mark l. berenson: basic business statistics 15th edition, (2024) test bank
multiple choice. choose the one alternative that best completes the statement or answers the
question.
1) the process of using data collected from a small group to reach conclusions about a
large group is called:
a) dcova framework.
b) descriptive statistics.
c) statistical inference.
d) operational definition.
ANS:>c)
the process described here is statistical inference, which uses sample data to make
generalizations or predictions about a larger population. it involves drawing conclusions
or making decisions based on data from a smaller group, known as a sample, to infer
characteristics about the larger population.
objective:
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) dcova framework.
b) statistical inference.
c) descriptive statistics.
d) operational definition.
ANS:>c)
descriptive statistics refers to methods for organizing, displaying, and summarizing data.
this includes tables, charts, and numerical measures that describe the main features of a
data set, such as mean, median, and mode, without making inferences or predictions.
, objective:
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) dcova framework.
c) operational definition.
d) descriptive statistics.
ANS:>d)
this is an example of descriptive statistics because it involves the summarization and
description of data related to the characteristics of employees. no predictions or
inferences about a larger population are made in this case.
objective:
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) dcova framework.
c) operational definition.
d) descriptive statistics.
ANS:>a)
this example involves inferential statistics because the average expenditure on food of a
sample is used to estimate the average expenditure for the entire population. it makes a
prediction or generalization based on sample data.
objective:
5) which of the following is not an element of descriptive statistical problems?
a) tables, graphs, or numerical summary tools.
b) an inference made about the population based on the sample.
BASIC BUSINESS STATISTICS 15TH EDITION, (2024)
BY MARK L. BERENSON; DAVID M. LEVINE; KATHRYN A. SZABAT; DAVID F. STEPHAN
ALL CHAPTER 1-20| LATEST VERSION WITH VERIFIED ANSWERS| RATED A+
15th edition
chapter: ftf first things first _____________________________________________________ 3
,chapter 1: defining and collecting data___________________________________________ 18
chapter 2: tabular and visual summarization of variables ____________________________ 73
chapter 3: numerical descriptive measures_______________________________________ 148
chapter 4: basic probability ___________________________________________________ 200
chapter 5: discrete probability distributions ______________________________________ 253
chapter 6: the normal distribution and other continuous distributions ________________ 303
chapter 7: sampling distributions ______________________________________________ 348
chapter 8: confidence interval estimation _______________________________________ 384
chapter 9: fundamentals of hypothesis testing: one-sample tests ____________________ 441
chapter 10: two-sample tests _________________________________________________ 506
chapter 11: analysis of variance _______________________________________________ 592
chapter 12: chi-square and nonparametric tests __________________________________ 663
chapter 13: simple linear regression ____________________________________________ 733
chapter 14: introduction to multiple regression ___________________________________ 858
chapter 15: more complex multiple regression models ____________________________ 1008
chapter 16: time-series forecasting ____________________________________________ 1057
chapter 17: business analytics ________________________________________________ 1092
chapter 18: getting ready to analyze data in the future ___________________________ 1221
chapter 19: statistical applications in quality management (online) _________________ 1286
chapter 20: decision making (online) __________________________________________ 1325
,chapter: ftf first things first
mark l. berenson: basic business statistics 15th edition, (2024) test bank
multiple choice. choose the one alternative that best completes the statement or answers the
question.
1) the process of using data collected from a small group to reach conclusions about a
large group is called:
a) dcova framework.
b) descriptive statistics.
c) statistical inference.
d) operational definition.
ANS:>c)
the process described here is statistical inference, which uses sample data to make
generalizations or predictions about a larger population. it involves drawing conclusions
or making decisions based on data from a smaller group, known as a sample, to infer
characteristics about the larger population.
objective:
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) dcova framework.
b) statistical inference.
c) descriptive statistics.
d) operational definition.
ANS:>c)
descriptive statistics refers to methods for organizing, displaying, and summarizing data.
this includes tables, charts, and numerical measures that describe the main features of a
data set, such as mean, median, and mode, without making inferences or predictions.
, objective:
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) dcova framework.
c) operational definition.
d) descriptive statistics.
ANS:>d)
this is an example of descriptive statistics because it involves the summarization and
description of data related to the characteristics of employees. no predictions or
inferences about a larger population are made in this case.
objective:
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) dcova framework.
c) operational definition.
d) descriptive statistics.
ANS:>a)
this example involves inferential statistics because the average expenditure on food of a
sample is used to estimate the average expenditure for the entire population. it makes a
prediction or generalization based on sample data.
objective:
5) which of the following is not an element of descriptive statistical problems?
a) tables, graphs, or numerical summary tools.
b) an inference made about the population based on the sample.
