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Solutions Manual — Business Statistics: For Contemporary Decision Making, 11th Edition — Ken Black — ISBN 9781119905448 — Latest Update 2025/2026 — (All Chapters Covered 1–19)

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This Solutions Manual for Business Statistics: For Contemporary Decision Making (11th Edition) by Ken Black (ISBN 9781119905448) provides comprehensive, step-by-step solutions aligned with the textbook’s full structure. Designed to support instructors and students in business analytics and applied statistics, this resource corresponds to every chapter of the Wiley-published edition and is ideal for quantitative reasoning, data analysis, and evidence-based decision-making coursework. The official chapter sequence begins with Chapter 1: Introduction to Statistics and Business Analytics, followed by Chapter 2: Visualizing Data with Charts and Graphs, Chapter 3: Descriptive Statistics, Chapter 4: Probability, Chapter 5: Discrete Distributions, and Chapter 6: Continuous Distributions. It continues with Chapter 7: Sampling and Sampling Distributions, Chapter 8: Statistical Inference: Estimation for Single Populations, Chapter 9: Statistical Inference: Hypothesis Testing for Single Populations, and Chapter 10: Statistical Inferences About Two Populations. The advanced topics include Chapter 11: Analysis of Variance and Design of Experiments, Chapter 12: Simple Regression Analysis and Correlation, Chapter 13: Multiple Regression Analysis, Chapter 14: Building Multiple Regression Models, Chapter 15: Time-Series Forecasting and Index Numbers, Chapter 16: Analysis of Categorical Data, Chapter 17: Nonparametric Statistics, Chapter 18: Statistical Quality Control, and concludes with Chapter 19: Decision Analysis. This metadata entry is for academic listing and cataloguing only and does not include or distribute protected publisher content.

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Aantal pagina's
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2025/2026
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Business Statistics
ST

11th Edition
UV

SOLUTIONS
IA
?_

MANUAL
AP

Thomas A. Black
PR
OV

Comprehensive Solutions Manual for

Instructors and Students
ED

© Thomas A. Black. All rights reserved. Reproduction or distribution without permission is
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prohibited.




©DREAMSHUB

, Business Statistics: For Contemporary Decision Making – 11th Edition
(ISBN 9781119905448 – Verified)
Ken Black
ST

TABLE OF CONTENTS

Chapter 1. Introduction to Statistics and Business Analytics
UV

Chapter 2. Visualizing Data with Charts and Graphs
Chapter 3. Descriptive Statistics
Chapter 4. Probability
Chapter 5. Discrete Distributions
Chapter 6. Continuous Distributions
IA

Chapter 7. Sampling and Sampling Distributions
Chapter 8. Statistical Inference: Estimation for Single Populations
Chapter 9. Statistical Inference: Hypothesis Testing for Single Populations
?_

Chapter 10. Statistical Inferences About Two Populations
Chapter 11. Analysis of Variance and Design of Experiments
Chapter 12. Simple Regression Analysis and Correlation
Chapter 13. Multiple Regression Analysis
AP

Chapter 14. Building Multiple Regression Models
Chapter 15. Time-Series Forecasting and Index Numbers
Chapter 16. Analysis of Categorical Data
Chapter 17. Nonparametric Statistics
PR
Chapter 18. Statistical Quality Control
Chapter 19. Decision Analysis
OV
ED
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©DREAMSHUB

, Black, Bayley, Castillo: Business Statistics, Fourth Canadian Edition




SOLUTIONS TO PROBLEMS IN
CHAPTER 1: INTRODUCTION TO STATISTICS
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1.1 Examples of data in business disciplines:

accounting – revenue/sales, cost of goods, salary expense, depreciation,
utility costs, taxes, equipment inventory, etc.
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finance - World bank bond rates, number of failed savings and loans
companies, measured risk of common stocks, stock dividends, foreign
exchange rate, liquidity rates for a single-family, etc.

human resources - salaries, size of engineering staff, years’ experience,
IA
age of employees, years of education, etc.

marketing - number of units sold, dollar sales volume, forecast sales, size
of sales force, market share, measurement of consumer motivation,
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measurement of consumer frustration, measurement of brand preference,
attitude measurement, measurement of consumer risk, etc.

operations and supply chain management - the number, location, and
AP
network missions of suppliers, production facilities, distribution centers,
warehouses, cross-docks, and customers; the quantity and location of
inventory, including raw materials, work in process (WIP), and finished
goods, etc.
PR
information systems - CPU time, size of memory, number of workstations,
storage capacity, percent of professionals who are connected to a
computer network, dollar assets of company computing, number of “hits”
on the Internet, time spent on the Internet per day, percentage of people
who use the Internet, retail dollars spent in e-commerce, etc.
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production - number of production runs per day, weight of a product;
assembly time, number of defects per run, temperature in the plant,
amount of inventory, turnaround time, etc.

management - measurement of union participation, measurement of
ED
employer support, measurement of tendency to control, number of
subordinates reporting to a manager, measurement of leadership style, etc.

1.2 Examples of data that can be gathered for decision-making purposes in
business industries:
??

Solutions Manual 1-1 Chapter 1
Copyright © 2023 John Wiley & Sons Canada, Ltd. Unauthorized copying, distribution, or transmission of this page is
strictly prohibited.

, Black, Bayley, Castillo: Business Statistics, Fourth Canadian Edition


manufacturing - size of punched hole, number of rejects, amount of
inventory, amount of production, number of production workers, etc.
ST
insurance - number of claims per month, average amount of life insurance
per family head, life expectancy, cost of repairs for major auto collision,
average medical costs incurred for a single female over 45 years of age,
etc.
UV
travel - cost of airfare, number of miles traveled for ground transported
vacations, number of nights away from home, size of traveling party,
amount spent per day on vacation besides lodging, etc.

retailing - inventory turnover ratio, sales volume, size of sales force,
number of competitors within 2 miles of retail outlet, area of store, number
IA
of sales people, etc.

communications - cost per minute, number of phones per office, miles of
cable per customer headquarters, minutes per day of long distance usage,
?_
number of operators, time between calls, etc.

computing - age of company hardware, cost of software, number of
CAD/CAM stations, age of computer operators, measure to evaluate
AP
competing software packages, size of data base, etc.

agriculture - number of farms per county, farm income, number of acres of
corn per farm, wholesale price of a gallon of milk, number of livestock,
grain storage capacity, etc.
PR
banking - size of deposit, number of failed banks, amount loaned to
foreign banks, number of tellers per drive-in facility, average amount of
withdrawal from automatic teller machine, federal reserve discount rate,
etc.
OV
healthcare - number of patients per physician per day, average cost of
hospital stay, average daily census of hospital, time spent waiting to see a
physician, patient satisfaction, number of blood tests done per week.

1.3 Descriptive statistics in recorded music industry :
ED
1) RCA total sales of compact discs this week, number of artists
under contract to a company at a given time.

2) total dollars spent on advertising last month to promote an album.
??
3) number of units produced in a day.


Solutions Manual 1-2 Chapter 1
Copyright © 2023 John Wiley & Sons Canada, Ltd. Unauthorized copying, distribution, or transmission of this page is
strictly prohibited.

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