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Statistics for Business & Economics ,Global Edition 14th Edition

Name: Statistics for Business &amp; Economics ,Global Edition 14th Edition
SKU: EB-36652268
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Statistics for Business & Economics, Global Edition, 14th Edition James T. Mcclave Digital Instant Download

Author(s): James T. McClave, P. George Benson, Terry Sincich

ISBN(s): 9781292413396, 1292413395

Edition: 14

File Details: PDF, 42.79 MB

Year: 2021

Language: English

SKU: EB-36652268 Category: Mathematics - Applied Mathematics Tags: James T. McClave, P. George Benson, Statistics for Business, Terry Sincich

Description

Statistics for Business & Economics ,Global Edition 14th Edition – Ebook Instant Download/Delivery ISBN(s): 9781292413396,1292413395,‎9781292413525

Product details:

ISBN-13 ‏ : ‎9781292413525
Author: James McClave, P. Benson, Terry Sincich

Statistics for Business and Economics introduces statistics in the context of contemporary business. Emphasising statistical literacy in thinking, the text applies its concepts with real data and uses technology to develop a deeper conceptual understanding. Examples, activities, and case studies foster active learning in the classroom while emphasising intuitive concepts of probability and teaching students to make informed business decisions. The 14th Edition continues to highlight the importance of ethical behaviour in collecting, interpreting, and reporting on data, while also providing a wealth of new and updated exercises and case studies.

Table contents:

Chapter 1. Statistics, Data, and Statistical Thinking

Chapter 2. Methods for Describing Sets of Data

Chapter 3. Probability

Chapter 4. Random Variables and Probability Distributions

Chapter 5. Sampling Distributions

Chapter 6. Inferences Based on a Single Sample: Estimation with Confidence Intervals

Chapter 7. Inferences Based on a Single Sample: Tests of Hypotheses

Chapter 8. Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses

Chapter 9. Design of Experiments and Analysis of Variance

Chapter 10. Categorical Data Analysis

Chapter 11. Simple Linear Regression