(eBook PDF) Business Statistics A First Course First Canadian Edition – Digital Ebook – Instant Delivery Download

Product details:

• ISBN-10 ‏ : ‎ 0321824830
• ISBN-13 ‏ : ‎ 978-0321824837
• Author: Norean Radke Sharpe 

Business Statistics: A First Course, First Canadian Edition, recognizes both the changing curriculum and the changing pedagogy for teaching introductory statistics. It focuses on application, streamlines and reorganizes topics, sheds unneeded theoretical details, and recognizes learning styles of the current generation of students, making it an attractive choice for one-semester Business Statistics courses at Canadian universitites and colleges.

The Canadian edition uses illustrative case studies and chapter exercises that focus on business and management of Canadian companies, large and small. The writing has Canadian style, perspective, and sensibility, not just changes to spelling and metric measurements. The book recognizes that Canada has public policy, governmental structure and mandate (federal, provincial, and municipal), economic systems (banking and finance), social services, health care, sports and entertainment are different from the United States. While the book is indeed Canadian, it also shows how statistics has no geographical borders, and is a vital part of building and enhancing the global community.

Table contents:

Part 1 Exploring and Collecting Data

1 Statistics, Data, and Decisions

2 Displaying and Describing Categorical Data

3 Displaying and Describing Quantitative Data

4 Correlation and Linear Regression

Part 2 Modelling with Probability

5 Randomness and Probability

6 Random Variables and Probability Models

7 The Normal and Other Continuous Distributions

8 Surveys and Sampling

9 Sampling Distributions and Confidence Intervals for Proportions

Part 3 Inference for Decision-Making

10 Testing Hypotheses About Proportions

11 Confidence Intervals and Hypothesis Tests for Means

12 Comparing Two Groups

13 Inference for Counts: Chi-Square Tests

Part 4 Models for Decision-Making

14 Inference for Regression

15 Multiple Regression

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