Business Statistics For Dummies 2nd Edition by Alan Anderson ISBN 9781394219926 139421992X

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ISBN 10: 139421992X
ISBN 13: 9781394219926
Author: Alan Anderson

Business Statistics For Dummies helps you understand the core concepts and principles of business statistics, and how they relate to the business world. This book tracks to a typical introductory course offered at the undergraduate, so you know you’ll find all the content you need to pass your class and get your degree. You’ll get an introduction to statistical problems and processes common to the world of global business and economics. Written in clear and simple language, Business Statistics For Dummies gives you an introduction to probability, sampling techniques and distributions, and drawing conclusions from data. You’ll also discover how to use charts and graphs to visualize the most important properties of a data set.

Business Statistics For Dummies 2nd Edition Table of contents:

Part 1: Getting Started with Business Statistics

Chapter 1: The Art and Science of Business Statistics

Representing the Key Properties of Data

Probability: The Foundation of All Statistical Analysis

Using Sampling Techniques and Sampling Distributions

Statistical Inference: Drawing Conclusions from Data

Chapter 2: Pictures Tell the Story: Graphical Representations of Data

Analyzing the Distribution of Data by Class or Category

Histograms: Getting a Picture of Frequency Distributions

Checking Out Other Useful Graphs

Chapter 3: Identifying the Center of a Data Set

Looking at Methods for Finding the Mean

Getting to the Middle of Things: The Median of a Data Set

Determining the Relationship Between the Mean and Median

Discovering the Mode: The Most Frequently Repeated Element

Computing the Mean, Median, and Mode with the TI-84 Plus Calculator

Chapter 4: Measuring Variation in a Data Set

Determining Variance and Standard Deviation

Finding the Relative Position of Data

Measuring Relative Variation

Computing Measures of Dispersion with the TI-84 Plus Calculator

Chapter 5: Measuring How Data Sets Are Related to Each Other

Understanding Covariance and Correlation

Interpreting the Correlation Coefficient

Computing Covariance and Correlation with the TI-84 Plus Calculator

Part 2: Probability Theory and Probability Distributions

Chapter 6: Probability Theory: Measuring the Likelihood of Events

Working with Sets

Betting on Uncertain Outcomes

Looking at Types of Probabilities

Following the Rules: Computing Probabilities

Chapter 7: Probability Distributions and Random Variables

Defining the Role of the Random Variable

Assigning Probabilities to a Random Variable

Characterizing a Probability Distribution with Moments

Chapter 8: The Binomial and Poisson Distributions

Looking at Two Possibilities with the Binomial Distribution

Keeping the Time: The Poisson Distribution

Computing Binomial and Poisson Probabilities with the TI-84 Plus Calculator

Chapter 9: The Normal Distribution: So Many Possibilities!

Comparing Discrete and Continuous Distributions

Understanding the Normal Distribution

Computing Probabilities for the Normal Distribution with the TI-84 Plus Calculator

Chapter 10: Sampling Techniques and Distributions

Sampling Techniques: Choosing Data from a Population

Sampling Distributions

The Central Limit Theorem

Part 3: Drawing Conclusions from Samples

Chapter 11: Confidence Intervals and the Student’s t-Distribution

Almost Normal: The Student’s t-Distribution

Graphing the t-Distribution

Probabilities and the t-Table

Point Estimates vs. Interval Estimates

Estimating Confidence Intervals for the Population Mean

Computing Confidence Intervals for the Population Mean with the TI-84 Plus Calculator

Chapter 12: Testing Hypotheses about the Population Mean

Applying the Key Steps in Hypothesis Testing for a Single Population Mean

Testing Hypotheses About Two Population Means

Testing Hypotheses about Population Means with the TI-84 Plus Calculator

Chapter 13: Applications of the Chi-Square Distribution

Staying Positive with the Chi-Square Distribution

Testing Hypotheses about the Population Variance

Practicing the Goodness of Fit Tests

Conducing a Goodness of Fit Test with the TI-84 Plus Calculator

Chapter 14: Applications of the F-Distribution

Getting to Know the F-Distribution

Testing Hypotheses about the Equality of Two Population Variances

Testing Hypotheses about Two Population Variances with the TI-84 Plus Calculator

Part 4: More Advanced Techniques: Regression Analysis and Spreadsheet Modeling

Chapter 15: Simple Regression Analysis

The Fundamental Assumption: Variables Have a Linear Relationship

Defining the Population Regression Equation

Estimating the Population Regression Equation

Testing the Estimated Regression Equation

Using Statistical Software

Assumptions of Simple Linear Regression

Conducting Simple Regression Analysis with the TI-84 Plus Calculator

Chapter 16: Key Statistical Techniques in Excel

Implementing Excel Functions

Checking Out Excel’s Key Statistical Functions

Going Deeper with the Analysis ToolPak

Part 5: The Part of Tens

Chapter 17: Ten Common Errors That Arise in Statistical Analysis

Designing Misleading Graphs

Drawing the Wrong Conclusion from a Confidence Interval

Misinterpreting the Results of a Hypothesis Test

Placing Too Much Confidence in the Coefficient of Determination ()

Assuming Normality

Thinking Correlation Implies Causality

Drawing Conclusions from a Regression Equation When the Data Do Not Follow the Assumptions

Using Regression Analysis to Make Predictions About Values Outside the Range of Sample Data

Placing Too Much Confidence in Forecasts

Using the Wrong Distribution

Chapter 18: (Almost) Ten Key Categories of Formulas for Business Statistics

Summary Measures of a Population or a Sample

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Confidence Intervals for the Population Mean

Testing Hypotheses about Population Means

Testing Hypotheses about Population Variances

Using Regression Analysis

Index

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Tags: Alan Anderson, Business Statistics, Dummies