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Full Description
This package includes MyLab. For 2-semester courses in Introductory Business Statistics. This package includes MyLab Statistics. Gain an edge in today's workplace by applying statistical analysis skills to real-world decision-making. Business Statistics: A Decision Making Approach provides students with an introduction to business statistics and to the analysis skills and techniques needed to make successful real-world business decisions. Written for students of all mathematical skill levels, the authors present concepts in a systematic and ordered way, drawing from their own experience as educators and consultants. Rooted in the theme that data are the starting point, Business Statistics champions the need to use and understand different types of data and data sources to be effective decision makers. This new edition integrates Microsoft Excel throughout as a way to work with statistical concepts and give students a resource that can be used in both their academic and professional careers. This package includes MyLabTM Statistics, an online homework, tutorial, and assessment program designed to work with this text to personalize learning and improve results.
With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts. MyLab should only be purchased when required by an instructor. Please be sure you have the correct ISBN and Course ID. Instructors, contact your Pearson rep for more information.
Contents
The Where, Why, and How of Data Collection
Graphs, Charts, and Tables-Describing Your Data
Describing Data Using Numerical Measures
Introduction to Probability
Discrete Probability Distributions
Introduction to Continuous Probability Distributions
Introduction to Sampling Distributions
Estimating Single Population Parameters
Introduction to Hypothesis Testing
Estimation and Hypothesis Testing for Two Population Parameters
Hypothesis Tests and Estimation for Population Variances
Analysis of Variance
Goodness-of-Fit Tests and Contingency Analysis
Introduction to Linear Regression and Correlation Analysis
Multiple Regression Analysis and Model Building
Analyzing and Forecasting Time-Series Data
Introduction to Nonparametric Statistics
Introducing Business Analytics
