Solution Manual for Business Statistics in Practice Third Canadian Edition
A solution manual is a useful tool for students and instructors to understand and apply the concepts discussed in a textbook. The solution manual for “Business Law in Canada, Eleventh Canadian Edition” provides step-by-step solutions to the end-of-chapter problems in the textbook.
The 11th edition of “Business Law in Canada” by Yates covers a wide range of topics related to Canadian business law, including contract law, tort law, employment law, and intellectual property law. The solution manual provides a detailed explanation of the solutions to the problems presented in the textbook, giving students a better understanding of the concepts and how to apply them.
The solution manual is organized by chapter, with each chapter containing the solutions to the end-of-chapter problems. The manual provides clear, concise explanations of the steps involved in solving each problem, making it easy for students to follow along and learn the concepts.
In addition to the step-by-step solutions, the solution manual also includes additional resources such as review questions, practice problems, and case studies, allowing students to test their knowledge and apply the concepts in real-world scenarios.
Overall, the solution manual for “Business Law in Canada, Eleventh Canadian Edition” is a valuable resource for students and instructors alike, providing a comprehensive and detailed understanding of the concepts discussed in the textbook.
INSTRUCTOR’S SOLUTION MANUAL
Business Statistics in Practice, Third Canadian Edition
Bowerman, Aitken Schermer, Johnson, & O’Connell
CHAPTER 1: An Introduction to Business Statistics
1.1 [LO 1]
A population is a set of units.
Examples could include surveying consumers utilizing a particular product.
1.2 [LO 1]
Any characteristic of a population unit is called a variable.
Quantitative: values on the real number line.
Qualitative: record unit into categories.
1.3 [S 1.1]
a. Quantitative; dollar amounts correspond to values on the real number line.
b. Quantitative; net profit is a dollar amount.
c. Qualitative; rank is ordinal.
d. Quantitative; national debt is a dollar amount.
e. Qualitative; media is categorized into radio, television, or print.
1.4 [LO 2]
Census: examine all of the population units.
Sample: subset of the units in a population.
1.5 [LO 3]
a. Descriptive statistics: science of describing the important aspects of a set of measurements.
b. Statistical inference: science of using a sample of measurements to make generalizations about the important aspects of a population of measurements.
c. Random sample: selected in a manner so that on each selection from the population every unit remaining in the population on that selection has the same chance of being chosen.
d. Systematic sample: select every nth unit of a population.
1.6 [LO 3]
Choosing the sample without replacement guarantees that all of the units in the sample will be different units.
1.7 [LO 3]
a. First number the stores (and not the headings); total of 38 stores
b. From Table 1.1 (starting in the upper lefthand corner) we obtain the following 2digit random numbers:
33 03 92 85 08 51 60 94 58 09 14 74 24 87 07 85 90 27 20 74 63 44 01
Crossing out numbers greater than and equal to 38 (because there are 38 companies), the sample consists of stores 33 03 08 09 14 24 07 27 20 01. That is:
33 The P.E.I. Co. Store
03 Chameleon’s Hanger
09 Norton’s Jewellers
24 Colleen’s Elite Tailoring
27 Luna Eclectic Emporium
20 Dow’s Men’s Wear
01 Uptown Shoes
1.8 [LO 3]
a. From Table 1.1 (starting in the upper left-hand corner) we obtain 5-digit random numbers:
33276 03427 92737 85689 08178
51259 60268 94904 58586 09998
14346 74103 24200 87308 07351
Crossing out the numbers greater than 73,219 (because there are only 73,219 registration cards), the first ten registration cards in the sample are cards:
33276 03427 08178 51259 60268
58586 09998 14346 24200 07351
b. Most of the scores would fall between 36 and 48 because 36 is the smallest score in the sample and 48 is the largest score in the sample. An estimate of the proportion of scores that would be at least 42 is 46/65=.7077 because 46 of the 65 sample scores are at least 42.
1.9 [S 1.2]
Most waiting times will be from .4 to 11.6 minutes. An estimate of the proportion of waiting times less than 6 minutes is found by counting the number of customers with waiting times less than 6 minutes and dividing by the total of 100 customers.
1.10 [LO 3]
Responses will vary, but two random lists should not be the same (each list should be unique).
1.11 [LO 4]
A process is a sequence of operations that takes inputs and turns them into outputs.
The process of making and packing a product.
1.12 [LO 4]
A process is in statistical control if it does not exhibit any unusual process variation.
1.13 [LO 4]
A runs plot is a graph of individual process measurements versus time. A process in statistical control will have a runs plot with constant variation around a horizontal level.
1.14 [LO 4]
The measurements appear to be in control because there is reasonably constant variation at a horizontal level.
1.15 [LO 4]
a. The process does not seem to be in control because the variation is not constant at a horizontal level.
b. Claims numbered 47–56 correspond to March 2010. The plot shows a sharp increase revealing instability. The ice storm had a significant impact on the time needed to process claims. Improvement is needed.
1.16 [LO 4]
No, the percentages do not seem to be in control. The plot reveals higher percentages early in the week, which is when most business traveling is done.
1.17 [LO 4]
a. Yes, in control. There is constant variation at a horizontal level.
b. Most breaking strengths will be between 21.3kg and 24.5kg.
1.18 [LO 4]
There is reasonably constant variation at a horizontal level.
1.19 [LO 5]