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Statistics for managers using Microsoft excel

By: Contributor(s): Material type: TextTextPublication details: New Delhi Pearson Education 2005Edition: 4thDescription: xxiii, 886 p.: ill. With CD (Acc. No. CD000815)ISBN:
  • 9788131703847
Subject(s): DDC classification:
  • 519.5 L3S8
Summary: For one- or two-semester business statistics courses. Analyzing the Data Applicable to Business This text is the gold standard for learning how to use Microsoft Excel® in business statistics, helping students gain the understanding they need to be successful in their careers. The authors present statistics in the context of specific business fields; full chapters on business analytics further prepare students for success in their professions. Current data throughout the text lets students practice analyzing the types of data they will see in their professions. The friendly writing style include tips throughout to encourage learning. The book also integrates PHStat, an add-in that bolsters the statistical functions of Excel. Also available with MyStatLab™ MyStatLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. https://www.pearson.com/us/higher-education/program/Levine-Statistics-for-Managers-Using-Microsoft-Excel-8th-Edition/PGM1843760.html
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Books Vikram Sarabhai Library Rack 28-B / Slot 1414 (0 Floor, East Wing) Non-fiction General Stacks 519.5 L3S8 (Browse shelf(Opens below)) Available 161044

Table of Contents

First Things First
USING STATISTICS: “The Price of Admission”
FTF.1 Think Differently About Statistics
FTF.2 Business Analytics: The Changing Face of Statistics
FTF.3 Getting Started Learning Statistics
FTF.4 Preparing to Use Microsoft Excel for Statistics
REFERENCES
KEY TERMS
EXCEL GUIDE
1. Defining and Collecting Data
USING STATISTICS: Defining Moments
1.1 Defining Variables
1.2 Collecting Data
1.3 Types of Sampling Methods
1.4 Data Preparation
1.5 Types of Survey Errors
CONSIDER THIS: New Media Surveys/Old Sampling Problems
SUMMARY
REFERENCES
KEY TERMS
USING STATISTICS: Defining Moments, Revisited
CHECKING YOUR UNDERSTANDING
CHAPTER REVIEW PROBLEMS
CASES FOR CHAPTER
Managing Ashland MultiComm Services
CardioGood Fitness
Clear Mountain State Student Survey
Learning with the Digital Cases
CHAPTER 1 EXCEL GUIDE
2. Organizing and Visualizing Variables
USING STATISTICS: “The Choice is Yours”
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 and Visualizing a Mix of Variables
2.7 The Challenge in Organizing and Visualizing Variables
USING STATISTICS: The Choice is Yours, Revisited
SUMMARY
REFERENCES
KEY EQUATIONS
KEY TERMS

CHECKING YOUR UNDERSTANDING

CHAPTER REVIEW PROBLEMS

CASES FOR CHAPTER

Managing Ashland MultiComm Services

Digital Case

CardioGood Fitness

The Choice is Yours Follow-Up

Clear Mountain State Student Survey

CHAPTER 2 EXCEL GUIDE

3. Numerical Descriptive Measures

USING STATISTICS: More Descriptive Choices

3.1 Central Tendency

3.2 Variation and Shape

3.3 Exploring Numerical Data

3.4 Numerical Descriptive Measures for a Population

3.5 The Covariance and the Coefficient of Correlation

3.6 Statistics: Pitfalls and Ethical Issues

SUMMARY

REFERENCES

KEY EQUATIONS

KEY TERMS

CHECKING YOUR UNDERSTANDING

CHAPTER REVIEW PROBLEMS

CASES FOR CHAPTER

Managing Ashland MultiComm Services

Digital Case

CardioGood Fitness

More Descriptive Choices Follow-up

Clear Mountain State Student Survey

CHAPTER 3 EXCEL GUIDE

4. Basic Probability

USING STATISTICS: Possibilities at M&R Electronics World

4.1 Basic Probability Concepts

4.2 Conditional Probability

4.3 Ethical Issues and Probability

4.4 Bayes’ Theorem

CONSIDER THIS: Divine Providence and Spam

4.5 Counting Rules

USING STATISTICS: Possibilities at M&R Electronics World, Revisited

SUMMARY

REFERENCES

KEY EQUATIONS

KEY TERMS

CHECKING YOUR UNDERSTANDING

CHAPTER REVIEW PROBLEMS

CASES DIGITAL CASE

CardioGood Fitness

The Choice is Yours Follow-Up

Clear Mountain State Student Survey

CHAPTER 4 EXCEL GUIDE

5. Discrete Probability Distributions

USING STATISTICS: Events of Interest at Ricknel Home Centers

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

SUMMARY

REFERENCES

KEY EQUATIONS

KEY TERMS

CHECKING YOUR UNDERSTANDING

CHAPTER REVIEW PROBLEMS

CASES FOR CHAPTER

Managing Ashland MultiComm Services

Digital Case

CHAPTER 5 EXCEL GUIDE

6. The Normal Distribution and Other Continuous Distributions

USING STATISTICS: Normal Load Times at MyTVLab

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

SUMMARY

REFERENCES

KEY EQUATIONS

KEY TERMS

CHECKING YOUR UNDERSTANDING

CHAPTER REVIEW PROBLEMS

CASES FOR CHAPTER

Managing Ashland MultiComm Services

CardioGood Fitness

More Descriptive Choices Follow-up

Clear Mountain State Student Survey

Digital Case

CHAPTER 6 EXCEL GUIDE

7. Sampling Distributions

USING STATISTICS: Sampling Oxford Cereals

7.1 Sampling Distributions

7.2 Sampling Distribution of the Mean

7.3 Sampling Distribution of the Proportion

SUMMARY

KEY EQUATIONS

KEY TERMS

CHECKING YOUR UNDERSTANDING

CHAPTER REVIEW PROBLEMS

CASES FOR CHAPTER

Managing Ashland Multicomm Services

Digital Case

CHAPTER 7 EXCEL GUIDE

8. Confidence Interval Estimation

USING STATISTICS: Getting Estimates at Ricknel Home Centers

8.1 Confidence Interval Estimate for the Mean (Known)

8.2 Confidence Interval Estimate for the Mean (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 Estimation for Finite Populations

8.8 Bootstrapping

USING STATISTICS: Getting Estimates . . . , Revisited

SUMMARY

REFERENCES

KEY EQUATIONS

KEY TERMS

CHECKING YOUR UNDERSTANDING

CHAPTER REVIEW PROBLEMS

CASES FOR CHAPTER

Managing Ashland MultiComm Services

Digital Case

Sure Value Convenience Stores

CardioGood Fitness

More Descriptive Choices Follow-Up

Clear Mountain State Student Survey

CHAPTER 8 EXCEL GUIDE

9. Fundamentals of Hypothesis Testing: One-Sample Tests

USING STATISTICS: Significant Testing at Oxford Cereals

9.1 Fundamentals of Hypothesis-Testing Methodology

9.2 t Test of Hypothesis for the Mean (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

USING STATISTICS: Significant Testing . . ., Revisited

SUMMARY

REFERENCES

KEY EQUATIONS

KEY TERMS

CHECKING YOUR UNDERSTANDING

CHAPTER REVIEW PROBLEMS

CASES FOR CHAPTER

Managing Ashland MultiComm Services

Digital Case

Sure Value Convenience Stores

CHAPTER 9 EXCEL GUIDE

10. Two-Sample Tests

USING STATISTICS: Differing Means for Selling Streaming Media Players at Arlingtons?

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

USING STATISTICS: Differing Means for Selling...Revisited

SUMMARY

REFERENCES

KEY TERMS

CHAPTER REVIEW PROBLEMS

CASES FOR CHAPTER

Managing Ashland MultiComm Services

Digital Case

Sure Value Convenience Stores

CardioGood Fitness

More Descriptive Choices Follow-Up

Clear Mountain State Student Survey

CHAPTER 10 EXCEL GUIDE

11. Analysis of Variance

USING STATISTICS: The Means to Find Differences at Arlingtons

11.1 The Completely Randomized Design: One-Way ANOVA

11.2 The Factorial Design: Two-Way ANOVA

11.3 The Randomized Block Design

11.4 Fixed Effects, Random Effects, and Mixed Effects Models

USING STATISTICS: The Means to Find Differences at Arlingtons Revisited

SUMMARY

REFERENCES

KEY EQUATIONS

KEY TERMS

CHECKING YOUR UNDERSTANDING

CHAPTER REVIEW PROBLEMS

CASES FOR CHAPTER

Managing Ashland MultiComm Services Phase

Phase

Digital Case

Sure Value Convenience Stores

CardioGood Fitness

More Descriptive Choices Follow-Up

Clear Mountain State Student Survey

CHAPTER 11 EXCEL GUIDE

12. Chi-Square and Nonparametric Tests

USING STATISTICS: Avoiding Guesswork about Resort Guests

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: A Nonparametric Method for Two Independent Populations

12.5 Kruskal-Wallis Rank Test: A Nonparametric Method 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

USING STATISTICS: Avoiding Guesswork..., Revisited

SUMMARY

REFERENCES

KEY EQUATIONS

KEY TERMS

CHECKING YOUR UNDERSTANDING

CHAPTER REVIEW PROBLEMS

CASES FOR CHAPTER

Managing Ashland MultiComm Services

Digital Case

Sure Value Convenience Stores

CardioGood Fitness

More Descriptive Choices Follow-Up

Clear Mountain State Student Survey

CHAPTER 12 EXCEL GUIDE

13. Simple Linear Regression

USING STATISTICS: Knowing Customers at Sunflowers Apparel

13.1 Types of 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 Slopeand Correlation Coefficient

13.8 Estimation of Mean Values and Prediction of Individual Values

13.9 Potential Pitfalls in Regression

USING STATISTICS: Knowing Customers...,Revisited

SUMMARY

REFERENCES

KEY EQUATIONS

KEY TERMS

CHECKING YOUR UNDERSTANDING

CHAPTER REVIEW PROBLEMS

CASES FOR CHAPTER

Managing Ashland MultiComm Services

Digital Case

Brynne Packaging

CHAPTER 13 EXCEL GUIDE

14. Introduction to Multiple Regression

USING STATISTICS: The Multiple Effects of OmniPower Bars

14.1 Developing a Multiple Regression Model

14.2 r2, Adjusted r2, and the Overall F Test

14.3 Residual Analysis for the Multiple Regression Model

14.4 Inferences Concerning the Population Regression Coefficients

14.5 Testing Portions of the Multiple Regression Model

14.6 Using Dummy Variables and Interaction Terms in Regression Models

14.7 Logistic Regression

USING STATISTICS: The Multiple Effects . . ., Revisited

SUMMARY

REFERENCES

KEY EQUATIONS

KEY TERMS

CHECKING YOUR UNDERSTANDING

CHAPTER REVIEW PROBLEMS

CASES FOR CHAPTER

Managing Ashland MultiComm Services

Digital Case

CHAPTER 14 EXCEL GUIDE

15. Multiple Regression Model Building

USING STATISTICS: Valuing Parsimony at WSTA-TV

15.1 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

SUMMARY

REFERENCES

KEY EQUATIONS

KEY TERMS
CHECKING YOUR UNDERSTANDING
CHAPTER REVIEW PROBLEMS
CASES FOR CHAPTER
The Mountain States Potato Company
Sure Value Convenience Stores
Digital Case
The Craybill Instrumentation Company Case
More Descriptive Choices Follow-Up
CHAPTER 15 EXCEL GUIDE
16. Time-Series Forecasting
USING STATISTICS: Principled Forecasting
16.1 The Importance of Business Forecasting
16.2 Component Factors of Time-Series Models
16.3 Smoothing an Annual Time Series
16.4 Least-Squares Trend Fitting and Forecasting
16.5 Autoregressive Modeling for Trend Fitting and Forecasting
16.6 Choosing an Appropriate Forecasting Model
16.7 Time-Series Forecasting of Seasonal Data
16.8 Index Numbers
Consider This
USING STATISTICS: Principled Forecasting, Revisited
SUMMARY
REFERENCES
KEY EQUATIONS
KEY TERMS
CHECKING YOUR UNDERSTANDING
CHAPTER REVIEW PROBLEMS
CASES FOR CHAPTER
Managing Ashland MultiComm Services
Digital Case
CHAPTER 16 EXCEL GUIDE
17. Getting Ready to Analyze Data in the Future
USING STATISTICS: Mounting Future Analyses
17.1 Analyzing Numerical Variables
17.2 Analyzing Categorical Variables
17.3 Introduction to Business Analytics
USING STATISTICS: Back to Arlingtons for the Future
17.4 Descriptive Analytics
17.5 Predictive Analytics
USING STATISTICS: The Future to be Visited
REFERENCES
CHAPTER REVIEW PROBLEMS
CHAPTER 17 EXCEL GUIDE
18. Statistical Applications in Quality Management (online)
USING STATISTICS: Finding Quality at the Beachcomber
18.1 The Theory of Control Charts
18.2 Control Chart for the Proportion: The p Chart
18.3 The Red Bead Experiment: Understanding Process Variability
18.4 Control Chart for an Area of Opportunity: The c Chart
18.5 Control Charts for the Range and the Mean
18.6 Process Capability
18.7 Total Quality Managementice
18.8 Six Sigma
USING STATISTICS: Finding Quality at the Beachcomber, Revisited
SUMMARY
REFERENCES
KEY EQUATIONS
KEY TERMS
CHAPTER REVIEW PROBLEMS
THE HARNSWELL SEWING MACHINE COMPANY CASE
MANAGING ASHLAND MULTICOMM SERVICES
CHAPTER 18 EXCEL GUIDE
19. Decision Making (online)
USING STATISTICS: Reliable Decision Making
19.1 Payoff Tables and Decision Trees
19.2 Criteria for Decision Making
19.3 Decision Making with Sample Information
19.4 Utility
CONSIDER THIS: Risky Business
USING STATISTICS: Reliable Decision-Making, Revisited
SUMMARY 19.23
REFERENCES 19.23
KEY EQUATIONS 19.23
KEY TERMS 19.23
CHAPTER 19 EXCEL GUIDE 19.27
Appendices
A. Basic Math Concepts and Symbols
A.1 Rules for Arithmetic Operations
A.2 Rules for Algebra: Exponents and Square Roots
A.3 Rules for Logarithms
A.4 Summation Notation
A.5 Statistical Symbols
A.6 Greek Alphabet
B. Important Excel and Minitab Skills and Concepts
B.1 Which Excel Do You Use?
B.2 Basic Operations
B.2 Formulas and Cell References
B.4 Entering a Formula
B.5 Formatting Cell Contents
B.6 Formatting Charts
B.7 Selecting Cell Ranges for Charts
B.8 Deleting the “Extra” Histogram Bar
B.9 Creating Histograms for Discrete Probability Distributions
C. Online Resources
C.1 About the Online Resources for This Book
C.2 Accessing the Online Resources
C.3 Details Online Resources
C.4 PHStat
D. Configuring Microsoft Excel
D.1 Getting Microsoft Excel Ready for Use
D.2 Checking for the Presence of the Analysis ToolPak or Solver Add-Ins
D.3 Configuring Microsoft Windows Excel Security Settings
D.4 Opening Pearson-Supplied Add-Ins
E. Tables
E.1 Table of Random Numbers
E.2 The Cumulative Standardized Normal Distribution
E.3 Critical Values of t
E.4 Critical Values of
E.5 Critical Values of F
E.6 Lower and Upper Critical Values, T1, of the Wilcoxon Rank Sum Test
E.7 Critical Values of the Studentized Range, Q
E.8 Critical Values, dI and dU, of the Durbin–Watson Statistic, D (Critical Values Are One-Sided)
E.9 Control Chart Factors
E.10 The Standardized Normal Distribution online
F. Useful Excel Knowledge
F.1 Useful Keyboard Shortcuts
F.2 Verifying Formulas and Worksheets
F.3 New Function Names
F.4 Understanding the Nonstatistical Functions
G. Software FAQs
G.1 PHStat FAQs
G.2 Microsoft Excel FAQs
Self-Test Solutions and Answers to Selected Even-Numbered Problems
Index

For one- or two-semester business statistics courses.
Analyzing the Data Applicable to Business
This text is the gold standard for learning how to use Microsoft Excel® in business statistics, helping students gain the understanding they need to be successful in their careers. The authors present statistics in the context of specific business fields; full chapters on business analytics further prepare students for success in their professions. Current data throughout the text lets students practice analyzing the types of data they will see in their professions. The friendly writing style include tips throughout to encourage learning.
The book also integrates PHStat, an add-in that bolsters the statistical functions of Excel.
Also available with MyStatLab™
MyStatLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.

https://www.pearson.com/us/higher-education/program/Levine-Statistics-for-Managers-Using-Microsoft-Excel-8th-Edition/PGM1843760.html

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