9781266283536 Lind

(Connect Access Code Only) Statistical Techniques in Business and Economics 19th edition (12 Months Digital Access)- Lind


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Statistical Techniques in Business and Economics, 18e is a best seller, originally published in 1967 to provide students majoring in management, marketing, finance, accounting, economics, and other fields of business administration with an introductory survey of descriptive and inferential statistics. Its hallmark presentation boasts a step by step approach that was written so clearly that any student can learn and succeed in Business Statistics. Its simple language and use of multiple examples focus on business applications, but also relate to the current world of the college student.   This step-by-step approach enhances performance, accelerates preparedness, and significantly improves motivation. Lind’s real-world examples, comprehensive coverage, and superior pedagogy that now includes data analytics coverage, combined with a complete digital solution help students achieve higher outcomes in the course.

Table of Content

This is a Digital Product – Please take note of the access platform and access period.

You are buying the McGraw Hill’s CONNECT product which consist of Connect Access Code standalone only (with 12 months access of e-book)
Product Details:
– Digital access to a comprehensive online learning platform
– Includes homework, study tools, eBook, and adaptive assignments
– Download the free ReadAnywhere app to access the eBook offline

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1 What Is Statistics?
2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
3 Describing Data: Numerical Measures
4 Describing Data: Displaying and Exploring Data
5 A Survey of Probability Concepts
6 Discrete Probability Distributions
7 Continuous Probability Distributions
8 Sampling, Sampling Methods, and the Central Limit Theorem
9 Estimation and Confidence Intervals
10 One-Sample Tests of Hypothesis
11 Two-Sample Tests of Hypothesis
12 Analysis of Variance
13 Correlation and Linear Regression
14 Multiple Regression Analysis
15 Nonparametric Methods Nominal Level Hypothesis Tests
16 Nonparametric Methods: Analysis of Ordinal Data
17 Index Numbers
18 Forecasting with Time Series Analysis
19 Statistical Process Control and Quality Management
20 An Introduction to Decision Theory (Online Only)
Appendixes, Data Sets, Tables, Software Commands, Answers