Business Statistics and Analytics in Practice
9th Edition by Bruce L. Bowerman
Complete Chapter Solutions Manual
are included (Ch 1 to 20)
** Immediate Download
** Swift Response
** All Chapters included
,Chapter 1 - An Introduction to Business Statistics and Analytics
CHAPTER 1—An Introduction to Business Statistics and Analytics
§1.1, 1.2 CONCEPTS
1.1 Any characteristic of a population element is called a variable.
Quantitative: we record numeric measurements that represent quantities.
Qualitative: we record which of several categories the element falls into.
LO1-1, LO1-2
1.2 a. Quantitative; dollar amounts correspond to values on the real number line.
b. Quantitative; net profit is a dollar amount.
c. Qualitative; which stock exchange is a category.
d. Quantitative; national debt is a dollar amount.
e. Qualitative; which type of medium is a category.
LO1-2
1.3 (1) Cross-sectional data are collected at approximately the same point in time whereas time series
data are collected over different time periods.
(2) The numbers of cars sold in 2017 by 10 different sales people are cross-sectional data.
(3) The numbers of cars sold by a particular sales person for the years 2013 – 2017 are time series
data.
LO1-3
1.4 (1) The response variable is whether or not the person has lung cancer.
(2) The factors are age, sex, occupation, and number of cigarettes smoked per day.
(3) This is an observational study.
LO1-5
1.5 A data warehouse is a central repository of an organization’s data where the data can be retrieved,
managed, and analyzed. Big data refers to the massive amounts of data, often collected in real time,
that sometimes need quick preliminary analysis for effective business decision making.
LO1-6
§1.1, 1.2 METHODS AND APPLICATIONS
1.6 $398,000 for a Ruby model on a treed lot
LO1-1
1.7 $494,000 for a Diamond model on a lake lot; $447,000 for a Ruby model on a lake lot
LO1-1
1.8
1-1
, Chapter 1 - An Introduction to Business Statistics and Analytics
This chart shows that sales are increasing over time.
LO1-4
§1.3, 1.4 CONCEPTS
1.9 (1) A population is the set of all elements about which we wish to draw conclusions.
(2) You might study the population of all purchasers of a particular laundry detergent.
(3) A census is the examination of all of the population measurements. A sample is a subset of the
elements in a population.
LO1-7
1.10 a. Descriptive statistics is the science of describing the important aspects of a set of
measurements.
b. Statistical inference is the science of using a sample of measurements to make generalizations
about the important aspects of a population of measurements.
c. A random sample is a subset of size 𝑛 chosen from a population in such a way that every
possible set of elements of size 𝑛 has the same chance of being chosen. Briefly, the sample is
chosen fairly, with no favoritism or prejudice.
d. A process is a sequence of operations that takes input(s) and generates output(s).
LO1-8, LO1-9
1.11 When we choose a sample of size 𝑛 without replacement, all 𝑛 elements selected are different.
However, when selecting with replacement, we might choose some elements multiple times. We
tend to get a more complete picture of the population when we sample without replacement.
LO1-9
§1.3, 1.4 METHODS AND APPLICATIONS
1.12 We would select companies 3, 8, 9, 14, and 7, so our random sample would contain Coca-Cola,
Coca-Cola Enterprises, Reynolds American, Pepsi Bottling Group, and Sara Lee.
LO1-9
1-2
9th Edition by Bruce L. Bowerman
Complete Chapter Solutions Manual
are included (Ch 1 to 20)
** Immediate Download
** Swift Response
** All Chapters included
,Chapter 1 - An Introduction to Business Statistics and Analytics
CHAPTER 1—An Introduction to Business Statistics and Analytics
§1.1, 1.2 CONCEPTS
1.1 Any characteristic of a population element is called a variable.
Quantitative: we record numeric measurements that represent quantities.
Qualitative: we record which of several categories the element falls into.
LO1-1, LO1-2
1.2 a. Quantitative; dollar amounts correspond to values on the real number line.
b. Quantitative; net profit is a dollar amount.
c. Qualitative; which stock exchange is a category.
d. Quantitative; national debt is a dollar amount.
e. Qualitative; which type of medium is a category.
LO1-2
1.3 (1) Cross-sectional data are collected at approximately the same point in time whereas time series
data are collected over different time periods.
(2) The numbers of cars sold in 2017 by 10 different sales people are cross-sectional data.
(3) The numbers of cars sold by a particular sales person for the years 2013 – 2017 are time series
data.
LO1-3
1.4 (1) The response variable is whether or not the person has lung cancer.
(2) The factors are age, sex, occupation, and number of cigarettes smoked per day.
(3) This is an observational study.
LO1-5
1.5 A data warehouse is a central repository of an organization’s data where the data can be retrieved,
managed, and analyzed. Big data refers to the massive amounts of data, often collected in real time,
that sometimes need quick preliminary analysis for effective business decision making.
LO1-6
§1.1, 1.2 METHODS AND APPLICATIONS
1.6 $398,000 for a Ruby model on a treed lot
LO1-1
1.7 $494,000 for a Diamond model on a lake lot; $447,000 for a Ruby model on a lake lot
LO1-1
1.8
1-1
, Chapter 1 - An Introduction to Business Statistics and Analytics
This chart shows that sales are increasing over time.
LO1-4
§1.3, 1.4 CONCEPTS
1.9 (1) A population is the set of all elements about which we wish to draw conclusions.
(2) You might study the population of all purchasers of a particular laundry detergent.
(3) A census is the examination of all of the population measurements. A sample is a subset of the
elements in a population.
LO1-7
1.10 a. Descriptive statistics is the science of describing the important aspects of a set of
measurements.
b. Statistical inference is the science of using a sample of measurements to make generalizations
about the important aspects of a population of measurements.
c. A random sample is a subset of size 𝑛 chosen from a population in such a way that every
possible set of elements of size 𝑛 has the same chance of being chosen. Briefly, the sample is
chosen fairly, with no favoritism or prejudice.
d. A process is a sequence of operations that takes input(s) and generates output(s).
LO1-8, LO1-9
1.11 When we choose a sample of size 𝑛 without replacement, all 𝑛 elements selected are different.
However, when selecting with replacement, we might choose some elements multiple times. We
tend to get a more complete picture of the population when we sample without replacement.
LO1-9
§1.3, 1.4 METHODS AND APPLICATIONS
1.12 We would select companies 3, 8, 9, 14, and 7, so our random sample would contain Coca-Cola,
Coca-Cola Enterprises, Reynolds American, Pepsi Bottling Group, and Sara Lee.
LO1-9
1-2
