Solution Manual For Business Statistics A First Course 6th Edition David Levine Timothy Krehbiel

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Solution Manual For Business Statistics A First Course 6th Edition David Levine Timothy Krehbiel

Solution Manual For Business Statistics A First Course 6th Edition David Levine Timothy Krehbiel

For one semester courses in business statistics.

A student-friendly approach that shows how statistics work in each area of business.

Students need a frame of reference when learning statistics, especially when it’s not their major. Business Statistics: A First Course teaches students how statistics are used in each functional area of business in a briefer, one-semester format.

The sixth edition has been updated to reflect the latest data and information, and now includes a new problem-solving framework to help guide students through the material.

 

Table of Contents

1. Introduction
1.1 Reading, Writing and Statistics?
1.2 Statistics: Fundamental for Business
1.3 Data and Variables
1.4 Basic Vocabulary of Statistics
1.5 Statistical Applications for Desktop Computing
1.6 How to Use This Book
2. Organizing and Visualizing Data
2.1 Data Collection
2.2 Organizing Categorical Data
2.3 Organizing Numerical Data
2.4 Visualizing Categorical Data
2.5 Visualizing Numerical Data
2.6 Visualizing Two Numerical Variables
2.7 Organizing Multidimensional Data
2.8 Misuses and Common Errors in Visualizing Data
 
3. Numerical Descriptive Measures
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 Descriptive Statistics: Pitfalls and Ethical Issues
4. Basic Probability
4.1 Basic Probability Concepts
4.2 Conditional Probability
4.3 Bayes’ Theorem
4.4 Counting Rules
4.5 Ethical Issues and Probability
5. Discrete Probability Distributions
5.1 The Probability Distribution for a Discrete Random Variable
5.2 Binomial Distribution
5.3 Poisson Distribution
6. The Normal Distribution
6.1 Continuous Probability Distributions
6.2 The Normal Distribution
6.3 Evaluating Normality
7. Sampling and Sampling Distributions
7.1 Types of Sampling Methods
7.2 Evaluating Survey Worthiness
7.3 Sampling Distributions
7.4 Sampling Distribution of the Mean
7.5 Sampling Distribution of the Proportion
8. Confidence Interval Estimation
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 the Sample Size
8.5 Confidence Interval Estimation and Ethical Issues
9. Fundamentals of Hypothesis Testing: One-Sample Tests
9.1 Fundamentals of Hypothesis-Testing Methodology
9.2 Test of Hypothesis for the Mean (`Unknown)
9.3 One-Tail Tests
9.4 Test of Hypothesis for the Proportion
9.5 Potential Hypothesis-Testing Pitfalls and Ethical Issues
10. Two-Sample Tests and One-Way ANOVA
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 Test for the Ratio of Two Variances
10.5 One-Way Analysis of Variance
11. Chi-Square Tests
11.1 Chi-Square Test for the Difference Between Two Proportions
11.2 Chi-Square Test for Differences Among More Than Two Proportions
11.3 Chi-Square Test of Independence
12. Simple Linear Regression
12.1 Types of Regression Models
12.2 Determining the Simple Linear Regression Equation
12.3 Measures of Variation
12.4 Assumptions
12.5 Residual Analysis
12.6 Measuring Autocorrelation: The Durbin-Watson Statistic
12.7 Inferences About the Slope and Correlation Coefficient
12.8 Estimation of Mean Values and Prediction of Individual Values
12.9 Pitfalls in Regression
13. Multiple Regression
13.1 Developing a Multiple Regression Model
13.2 r2, Adjusted r2, and the Overall F Test
13.3 Residual Analysis for the Multiple Regression Model
13.4 Inferences Concerning the Population Regression Coefficients
13.5 Using Dummy Variables and Interaction Terms in Regression Models
14. Statistical Applications in Quality Management (Online Chapter)
14.1 The Theory of Control Charts
14.2 Control Chart for the Proportion: The Chart
14.3 The Read Bead Experiment: Understanding Process Variability
14.4 Control Charts for the Range and the Mean
14.5 Total Quality Management
14.6 Six Sigma
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Solution Manual For Business Statistics A First Course 6th Edition David Levine Timothy Krehbiel