Essentials of Modern Business Statistics with Microsoft Excel 5th Edition by David R Anderson, Dennis J Sweeney, Thomas A Williams ISBN 0840062389 9780840062383

Essentials of Modern Business Statistics with Microsoft Excel 5th Edition by David R Anderson, Dennis J Sweeney, Thomas A Williams – Ebook PDF Instant Download/Delivery: 0840062389, 9780840062383
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Product details:

ISBN 10: 0840062389 
ISBN 13: 9780840062383
Author: David R Anderson, Dennis J Sweeney, Thomas A Williams

Essentials of Modern Business Statistics with Microsoft Excel 5th Table of contents:

• Chapter 1: Organizing and Visualizing Data

  • Types of Data: Categorical and Quantitative

  • Frequency Distributions and Histograms

  • Measures of Central Tendency: Mean, Median, Mode

  • Measures of Variability: Range, Variance, Standard Deviation

  • Visualizing Data with Excel: Charts and Graphs

• Chapter 2: Descriptive Statistics

  • Summarizing Data with Measures of Central Tendency

  • Measures of Dispersion: Range, Variance, and Standard Deviation

  • Skewness and Kurtosis

  • Using Excel for Descriptive Statistics

  • Applying Descriptive Statistics to Business Data

• Chapter 3: Probability Concepts

  • The Basics of Probability

  • Conditional Probability and Bayes’ Theorem

  • Probability Distributions: Binomial and Normal

  • Using Excel to Calculate Probabilities

• Chapter 4: The Normal Distribution

  • Characteristics of the Normal Distribution

  • Standard Normal Distribution and Z-scores

  • The Empirical Rule and Normal Approximation

  • Applications of the Normal Distribution in Business

  • Excel Functions for the Normal Distribution

• Chapter 5: Sampling and Sampling Distributions

  • Sampling Techniques: Random, Stratified, Systematic

  • The Concept of Sampling Distribution

  • The Central Limit Theorem

  • Confidence Intervals for Population Means and Proportions

  • Using Excel for Sampling and Confidence Intervals

• Chapter 6: Hypothesis Testing

  • The Logic of Hypothesis Testing

  • Type I and Type II Errors

  • Testing Hypotheses for Population Means and Proportions

  • P-values and Significance Levels

  • Conducting Hypothesis Tests in Excel

• Chapter 7: Inferences About Two Populations

  • Comparing Two Population Means: Independent and Paired Samples

  • Hypothesis Tests for Two Population Proportions

  • Confidence Intervals for Differences Between Means and Proportions

  • Using Excel for Two-Sample Inferences

• Chapter 8: Analysis of Variance (ANOVA)

  • Introduction to ANOVA: One-Way and Two-Way ANOVA

  • Assumptions of ANOVA and Hypothesis Testing

  • Post-Hoc Tests and Pairwise Comparisons

  • Applications of ANOVA in Business

  • Conducting ANOVA in Excel

• Chapter 9: Regression Analysis

  • Simple Linear Regression: Model and Assumptions

  • Least Squares Method and the Line of Best Fit

  • Multiple Linear Regression: Theory and Interpretation

  • Model Diagnostics: Residual Analysis

  • Using Excel for Regression Analysis

• Chapter 10: Correlation and Causality

  • The Concept of Correlation

  • Pearson’s Correlation Coefficient

  • Causality vs. Correlation in Business Analysis

  • Using Excel to Calculate and Interpret Correlation

• Chapter 11: Time Series Analysis

  • Time Series Data and Components: Trend, Seasonal, Cyclical, and Irregular

  • Methods for Forecasting: Moving Averages and Exponential Smoothing

  • Time Series Decomposition and Seasonal Adjustments

  • Forecasting in Excel

• Chapter 12: Chi-Square Tests

  • The Chi-Square Test for Goodness of Fit

  • The Chi-Square Test for Independence

  • Expected Frequencies and Assumptions

  • Applications in Business Decision Making

  • Conducting Chi-Square Tests in Excel

• Chapter 13: Nonparametric Methods

  • The Role of Nonparametric Methods in Business Statistics

  • Sign Test, Wilcoxon Signed-Rank Test, and Kruskal-Wallis Test

  • When to Use Nonparametric Tests

  • Performing Nonparametric Tests in Excel

• Chapter 14: Statistical Process Control

  • Introduction to Quality Control and Process Monitoring

  • Control Charts for Variables and Attributes

  • Process Capability Analysis

  • Using Excel for Statistical Process Control

• Chapter 15: Decision Analysis and Risk Management

  • Decision Trees and Payoff Matrices

  • Decision Analysis Under Uncertainty

  • Monte Carlo Simulation and Risk Analysis

  • Using Excel for Decision Models and Risk Analysis

• Chapter 16: Multiple Regression and Model Building

  • Introduction to Multiple Regression Models

  • Model Selection and Variable Inclusion

  • Interaction Effects and Multicollinearity

  • Building and Interpreting Multiple Regression Models in Excel

• Chapter 17: Bayesian Analysis

  • Basics of Bayesian Statistics

  • Bayesian Inference and Updating Beliefs

  • Bayesian Decision Making in Business

  • Applying Bayesian Methods in Excel

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Tags: David R Anderson, Dennis J Sweeney, Thomas A Williams, Essentials, Business Statistics, Microsoft Excel