Statistics for Managers Using Microsoft Excel, 9th edition

  • David M. Levine, 
  • David F. Stephan, 
  • Kathryn A. Szabat

Choose the option that's right for you


$9.99 / mo

4-month minimum term for $39.96

  • Access this eText title
  • Up to 2 devices
  • Discounted tutor access


$14.99 / mo

4-month minimum term for $59.96

  • Access over 1,500 titles
  • Up to 2 devices
  • Discounted tutor access

Learn more, spend less

  • Learn anytime, anywhere

    Get the app to access your eText whenever you need it

  • Make it your own

    Your notes. Your highlights. Your eText

  • Find it fast

    Quickly navigate your eText with search

  • Stay organized

    Access all your eTexts in one place

  • Easily continue access

    Keep learning with auto-renew


Statistics for Managers Using Microsoft® Excel® presents statistics in the context of specific business fields to help you develop the Excel knowledge needed in your career.

Published by Pearson (March 15th 2021) - Copyright © 2021

ISBN-13: 9780136880981

Subject: Business Math & Statistics

Category: Business Statistics

Table of contents


First Things First

FTF.1 Think Differently About Statistics
FTF.2 Business Analytics: The Changing Face of Statistics
FTF.3 Starting Point for Learning Statistics
FTF.4 Starting Point for Using Software
FTF.5 Starting Point for Using Microsoft Excel

1. Defining and Collecting Data

1.1 Defining Variables
1.2 Collecting Data
1.3 Types of Sampling Methods
1.4 Data Cleaning
1.5 Other Data Preprocessing Tasks
1.6 Types of Survey Errors

2. Organizing and Visualizing Variables

2.1 Organizing Categorical Variables
2.2 Organizing Numerical Variables
2.3 Visualizing Categorical Variables
2.4 Visualizing Numerical Variables
2.5 Visualizing Two Numerical Variables
2.6 Organizing a Mix of Variables
2.7 Visualizing a Mix of Variables
2.8 Filtering and Querying Data 73
2.9 Pitfalls in Organizing and Visualizing Variables

3. Numerical Descriptive Measures

3.1 Measures of Central Tendency
3.2 Measures of Variation and Shape
3.3 Exploring Numerical Variables
3.4 Numerical Descriptive Measures for a Population
3.5 The Covariance and the Coefficient of Correlation
3.6 Descriptive Statistics: Pitfalls and Ethical Issues

4. Basic Probability

4.1 Basic Probability Concepts
4.2 Conditional Probability
4.3 Ethical Issues and Probability
4.4 Bayes' Theorem
4.5 Counting Rules

5. Discrete Probability Distributions

5.1 The Probability Distribution for a Discrete Variable
5.2 Binomial Distribution
5.3 Poisson Distribution
5.4 Covariance of a Probability Distribution and Its Application in Finance
5.5 Hypergeometric Distribution

6. The Normal Distribution and Other Continuous Distributions

6.1 Continuous Probability Distributions
6.2 The Normal Distribution
6.3 Evaluating Normality
6.4 The Uniform Distribution
6.5 The Exponential Distribution
6.6 The Normal Approximation to the Binomial Distribution

7. Sampling Distributions

7.1 Sampling Distributions
7.2 Sampling Distribution of the Mean
7.3 Sampling Distribution of the Proportion
7.4 Sampling from Finite Populations

8. Confidence Interval Estimation

8.1 Confidence Interval Estimate for the Mean (σ Known)
8.2 Confidence Interval Estimate for the Mean (σ Unknown)
8.3 Confidence Interval Estimate for the Proportion
8.4 Determining Sample Size
8.5 Confidence Interval Estimation and Ethical Issues
8.6 Application of Confidence Interval Estimation in Auditing
8.7 Estimation and Sample Size Determination for Finite Populations
8.8 Bootstrapping

9. Fundamentals of Hypothesis Testing: One-Sample Tests

9.1 Fundamentals of Hypothesis Testing
9.2 t Test of Hypothesis for the Mean (σ Unknown)
9.3 One-Tail Tests
9.4 Z Test of Hypothesis for the Proportion
9.5 Potential Hypothesis-Testing Pitfalls and Ethical Issues
9.6 Power of the Test

10. Two-Sample Tests

10.1 Comparing the Means of Two Independent Populations
10.2 Comparing the Means of Two Related Populations
10.3 Comparing the Proportions of Two Independent Populations
10.4 F Test for the Ratio of Two Variances
10.5 Effect Size

11. Analysis of Variance

11.1 One-Way ANOVA
11.2 Two-Way ANOVA
11.3 The Randomized Block Design
11.4 Fixed Effects, Random Effects, and Mixed Effects Models

12. Chi-Square and Nonparametric Tests

12.1 Chi-Square Test for the Difference Between Two Proportions
12.2 Chi-Square Test for Differences Among More Than Two Proportions
12.3 Chi-Square Test of Independence
12.4 Wilcoxon Rank Sum Test for Two Independent Populations
12.5 Kruskal-Wallis Rank Test for the One-Way ANOVA
12.6 McNemar Test for the Difference Between Two Proportions (Related Samples)
12.7 Chi-Square Test for the Variance or Standard Deviation
12.8 Wilcoxon Signed Ranks Test for Two Related Populations

13. Simple Linear Regression

13.1 Simple Linear Regression Models
13.2 Determining the Simple Linear Regression Equation
13.3 Measures of Variation
13.4 Assumptions of Regression
13.5 Residual Analysis
13.6 Measuring Autocorrelation: The Durbin-Watson Statistic
13.7 Inferences About the Slope and Correlation Coefficient
13.8 Estimation of Mean Values and Prediction of Individual Values
13.9 Potential Pitfalls in Regression

14. Introduction to Multiple Regression

14.1 Developing a Multiple Regression Model
14.2 Evaluating Multiple Regression Models
14.3 Multiple Regression Residual Analysis
14.4 Inferences About the Population Regression Coefficients
14.5 Testing Portions of the Multiple Regression Model
14.6 Using Dummy Variables and Interaction Terms
14.7 Logistic Regression
14.8 Cross-Validation

15. Multiple Regression Model Building

15.1 The Quadratic Regression Model
15.2 Using Transformations in Regression Models
15.3 Collinearity
15.4 Model Building
15.5 Pitfalls in Multiple Regression and Ethical Issues

16. Time-Series Forecasting

16.1 Time-Series Component Factors
16.2 Smoothing an Annual Time Series
16.3 Least-Squares Trend Fitting and Forecasting
16.4 Autoregressive Modeling for Trend Fitting and Forecasting
16.5 Choosing an Appropriate Forecasting Model
16.6 Time-Series Forecasting of Seasonal Data
16.7 Index Numbers

17. Business Analytics

17.1 Business Analytics Overview
17.2 Descriptive Analytics
17.3 Decision Trees
17.4 Clustering
17.5 Association Analysis
17.6 Text Analytics
17.7 Prescriptive Analytics

18. Getting Ready to Analyze Data in the Future

18.1 Analyzing Numerical Variables
18.2 Analyzing Categorical Variables

19. Statistical Applications in Quality Management (online)

19.1 The Theory of Control Charts
19.2 Control Chart for the Proportion: The p Chart
19.3 The Red Bead Experiment: Understanding Process Variability
19.4 Control Chart for an Area of Opportunity: The c Chart
19.5 Control Charts for the Range and the Mean
19.6 Process Capability
19.7 Total Quality Management
19.8 Six Sigma

20. Decision Making

20.1 Payoff Tables and Decision Trees
20.2 Criteria for Decision Making
20.3 Decision Making with Sample Information
20.4 Utility

Your questions answered

Introducing Pearson+. Reimagined learning, designed for you. Choose from one eText or over 1,500 eTexts and study tools, all in one place, for one low monthly subscription. A new way to buy books that fits your budget. Make the most of your study time with offline access, enhanced search, notes and flashcards — to get organized, get the work done quicker and get results. Plus, with the app, put textbooks in your pocket and learn wherever. It's time to upgrade the textbook and simplify learning, so you can have time to live too.

Pearson eText is an easy-to-use digital textbook available from Pearson+. Make it your own by adding notes and highlights. Download the Pearson+ mobile app to learn on the go, even offline. Listen on the go with our new audiobook feature, available for most titles.

When you choose a plan, you're signing up for a 4-month 'term'. We will charge your payment method each month until your 4-month term has ended. You can turn on auto-renew in My account at any time to continue your subscription before your 4-month term has ended.

When you purchase a Pearson+ subscription, it will last 4 months. Before your initial 4-month term ends, you can extend your subscription by turning auto-renew on in My account. If you turn auto-renew on, we’ll automatically renew your subscription and charge you every month until you turn off auto-renew.

To avoid the next payment charge, make sure you turn auto renewal off 1 day before the auto renewal date. You can subscribe again after auto-renew has been turned off by purchasing another Pearson+ subscription. We use your credit card to renew your subscription automatically. To make sure your learning is uninterrupted, please check your card details before your first monthly payment.

With a Multi Pearson+ subscription plan, you can download up to 5 titles on the Pearson+ app from My list on each of your authorized devices every month.

When you're using your Multi Pearson+ subscription plan in a browser, you can select and read from as many titles as you like.