Statistical Techniques in Business and Economics https://www.mheducation.com/cover-images/Jpeg_400-high/1260239470.jpeg 18 9781260239478 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.
Statistical Techniques in Business and Economics

Statistical Techniques in Business and Economics

18th Edition
By Douglas Lind and William Marchal and Samuel Wathen
ISBN10: 1260239470
ISBN13: 9781260239478
Copyright: 2021
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09781260239478

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The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

Program Details

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

Appendix:
Data Sets, Tables, Software Commands, Answers