Business Statistics Canadian 3rd Edition Sharpe Solutions Manual

Product details:

ISBN-10 ‏ : ‎ 0133899128
ISBN-13 ‏ : ‎ 978-0133899122
Author: Norean Radke Sharpe

Conceptual and applied, with emphasis on analyzing and interpreting Canadian data to make informed business decisions. The book draws students in using a conversational writing style and delivers content with a fresh, exciting approach that reflects the authors’ blend of teaching, consulting, and entrepreneurial experiences.

Table contents:

CHAPTER 1: Introduction to Statistics and Business Analytics
Introduction
1.1 Basic Statistical Concepts
1.2 Variables, Data, and Data Measurement
1.3 Big Data
1.4 Business Analytics
1.5 Data Mining and Data Visualization
End-of-Chapter Review
CHAPTER 2: Visualizing Data with Charts and Graphs
Introduction
2.1 Frequency Distributions
2.2 Quantitative Data Graphs
2.3 Qualitative Data Graphs
2.4 Charts and Graphs for Two Variables
2.5 Visualizing Time-Series Data
End-of-Chapter Review
CHAPTER 3: Descriptive Statistics
Introduction
3.1 Measures of Central Tendency
3.2 Measures of Variability
3.3 Measures of Shape
3.4 Business Analytics Using Descriptive Statistics
End-of-Chapter Review
CHAPTER 4: Probability
Introduction
4.1 Introduction to Probability
4.2 Structure of Probability
4.3 Marginal, Union, Joint, and Conditional Probabilities
4.4 Addition Laws
4.5 Multiplication Laws
4.6 Conditional Probability
4.7 Revision of Probabilities: Bayes’ Rule
End-of-Chapter Review
CHAPTER 5: Discrete Distributions
Introduction
5.1 Discrete Versus Continuous Distributions
5.2 Describing a Discrete Distribution
5.3 Binomial Distribution
5.4 Poisson Distribution
5.5 Hypergeometric Distribution
End-of-Chapter Review
CHAPTER 6: Continuous Distributions
Introduction
6.1 Uniform Distribution
6.2 Normal Distribution
6.3 Using the Normal Curve to Approximate Binomial Distribution Problems
6.4 Exponential Distribution
End-of-Chapter Review
CHAPTER 7: Sampling and Sampling Distributions
Introduction
7.1 Sampling
7.2 Sampling Distribution of x¯
7.3 Sampling Distribution of pˆ
End-of-Chapter Review
CHAPTER 8: Statistical Inference: Estimation for Single Populations
Introduction
8.1 Estimating the Population Mean Using the z Statistic (σ Known)
8.2 Estimating the Population Mean Using the t Statistic (σ Unknown)
8.3 Estimating the Population Proportion
8.4 Estimating the Population Variance
8.5 Estimating Sample Size
End-of-Chapter Review
CHAPTER 9: Statistical Inference: Hypothesis Testing for Single Populations
Introduction
9.1 Introduction to Hypothesis Testing
9.2 Testing Hypotheses About a Population Mean Using the z Statistic (σ Known)
9.3 Testing Hypotheses About a Population Mean Using the t Statistic (σ Unknown)
9.4 Testing Hypotheses About a Proportion
9.5 Testing Hypotheses About a Variance
9.6 Solving for Type II Errors
End-of-Chapter Review
CHAPTER 10: Statistical Inferences About Two Populations
Introduction
10.1 Hypothesis Testing and Confidence Intervals About the Difference in Two Means Using the z Statistic: Population Variances Known
10.2 Hypothesis Testing and Confidence Intervals About the Difference in Two Means Using the t Statistic: Independent Samples with Population Variances Unknown
10.3 Statistical Inferences for Two Related Populations
10.4 Statistical Inferences About TwoPopulation Proportions, p1 − p2
10.5 Testing Hypotheses About Two Population Variances
End-of-Chapter Review
CHAPTER 11: Analysis of Variance and Design of Experiments
Introduction
11.1 Introduction to Design of Experiments
11.2 The Completely Randomized Design (One-Way ANOVA)
11.3 Multiple Comparison Tests
11.4 The Randomized Block Design
11.5 A Factorial Design (Two-Way ANOVA)
End-of-Chapter Review
CHAPTER 12: Correlation and Simple Regression Analysis
Introduction
12.1 Correlation
12.2 Introduction to Simple Regression Analysis
12.3 Determining the Equation of the Regression Line
12.4 Residual Analysis
12.5 Standard Error of the Estimate
12.6 Coefficient of Determination
12.7 Hypothesis Tests for the Slope of the Regression Model and for the Overall Model
12.8 Estimation
12.9 Using Regression to Develop a Forecasting Trend Line
End-of-Chapter Review
CHAPTER 13: Multiple Regression Analysis
Introduction
13.1 The Multiple Regression Model
13.2 Significance Tests of the Regression Model and Its Coefficients
13.3 Residuals, Standard Error of the Estimate, and R2
13.4 Interpreting Multiple Regression Computer Output
13.5 Using Regression Analysis: Some Caveats
End-of-Chapter Review
CHAPTER 14: Building Multiple Regression Models
14.1 Nonlinear Models: Mathematical Transformation
14.2 Indicator (Dummy) Variables
14.3 Model Building: Search procedures
14.4 Multicollinearity
14.5 Logistic Regression
End-of-Chapter Review
CHAPTER 15: Time-Series Forecasting and Index Numbers
Introduction
15.1 Introduction to Forecasting
15.2 Smoothing Techniques
15.3 Trend Analysis
15.4 Seasonal Effects
15.5 Autocorrelation and Autoregression
15.6 Index Numbers
End-of-Chapter Review
CHAPTER 16: Analysis of Categorical Data
Introduction
16.1 Chi-Square Goodness-of-Fit Test
16.2 Contingency Analysis: Chi-Square Test of Independence
End-of-Chapter Review
CHAPTER 17: Nonparametric Statistics
Introduction
17.1 Runs Test
17.2 Mann-Whitney U Test
17.3 Wilcoxon Matched-Pairs Signed Rank Test
17.4 Kruskal-Wallis Test
17.5 Friedman Test
17.6 Spearman’s Rank Correlation
End-of-Chapter Review
CHAPTER 18: Statistical Quality Control
Introduction
18.1 Introduction to Quality Control
18.2 Process Analysis
18.3 Control Charts
End-of-Chapter Review
CHAPTER 19: Decision Analysis
Introduction
19.1 The Decision Table and Decision-Making Under Certainty
19.2 Decision-Making Under Uncertainty
19.3 Decision-Making Under Risk
19.4 Revising Probabilities in Light of Sample Information
End-of-Chapter Review
Appendix A: Tables
Appendix B: Making Inferences About Population Parameters: A Brief Summary
Appendix C: Answers to Selected Odd-Numbered Quantitative Problems
Glossary
Index
End User License Agreement

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