Business Statistics Canadian 3rd Edition Sharpe Solutions Manual

Roll over image to zoom in
Click to open expanded view

$26.99$50.00 (-46%)

In stock

Business Statistics Canadian 3rd Edition Sharpe Solutions Manual.

Download sample

Categories: , , Tags: , , , , , , ,

You may also like

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:

  1. CHAPTER 1: Introduction to Statistics and Business Analytics
  2. Introduction
  3. 1.1 Basic Statistical Concepts
  4. 1.2 Variables, Data, and Data Measurement
  5. 1.3 Big Data
  6. 1.4 Business Analytics
  7. 1.5 Data Mining and Data Visualization
  8. End-of-Chapter Review
  9. CHAPTER 2: Visualizing Data with Charts and Graphs
  10. Introduction
  11. 2.1 Frequency Distributions
  12. 2.2 Quantitative Data Graphs
  13. 2.3 Qualitative Data Graphs
  14. 2.4 Charts and Graphs for Two Variables
  15. 2.5 Visualizing Time-Series Data
  16. End-of-Chapter Review
  17. CHAPTER 3: Descriptive Statistics
  18. Introduction
  19. 3.1 Measures of Central Tendency
  20. 3.2 Measures of Variability
  21. 3.3 Measures of Shape
  22. 3.4 Business Analytics Using Descriptive Statistics
  23. End-of-Chapter Review
  24. CHAPTER 4: Probability
  25. Introduction
  26. 4.1 Introduction to Probability
  27. 4.2 Structure of Probability
  28. 4.3 Marginal, Union, Joint, and Conditional Probabilities
  29. 4.4 Addition Laws
  30. 4.5 Multiplication Laws
  31. 4.6 Conditional Probability
  32. 4.7 Revision of Probabilities: Bayes’ Rule
  33. End-of-Chapter Review
  34. CHAPTER 5: Discrete Distributions
  35. Introduction
  36. 5.1 Discrete Versus Continuous Distributions
  37. 5.2 Describing a Discrete Distribution
  38. 5.3 Binomial Distribution
  39. 5.4 Poisson Distribution
  40. 5.5 Hypergeometric Distribution
  41. End-of-Chapter Review
  42. CHAPTER 6: Continuous Distributions
  43. Introduction
  44. 6.1 Uniform Distribution
  45. 6.2 Normal Distribution
  46. 6.3 Using the Normal Curve to Approximate Binomial Distribution Problems
  47. 6.4 Exponential Distribution
  48. End-of-Chapter Review
  49. CHAPTER 7: Sampling and Sampling Distributions
  50. Introduction
  51. 7.1 Sampling
  52. 7.2 Sampling Distribution of x¯
  53. 7.3 Sampling Distribution of pˆ
  54. End-of-Chapter Review
  55. CHAPTER 8: Statistical Inference: Estimation for Single Populations
  56. Introduction
  57. 8.1 Estimating the Population Mean Using the z Statistic (σ Known)
  58. 8.2 Estimating the Population Mean Using the t Statistic (σ Unknown)
  59. 8.3 Estimating the Population Proportion
  60. 8.4 Estimating the Population Variance
  61. 8.5 Estimating Sample Size
  62. End-of-Chapter Review
  63. CHAPTER 9: Statistical Inference: Hypothesis Testing for Single Populations
  64. Introduction
  65. 9.1 Introduction to Hypothesis Testing
  66. 9.2 Testing Hypotheses About a Population Mean Using the z Statistic (σ Known)
  67. 9.3 Testing Hypotheses About a Population Mean Using the t Statistic (σ Unknown)
  68. 9.4 Testing Hypotheses About a Proportion
  69. 9.5 Testing Hypotheses About a Variance
  70. 9.6 Solving for Type II Errors
  71. End-of-Chapter Review
  72. CHAPTER 10: Statistical Inferences About Two Populations
  73. Introduction
  74. 10.1 Hypothesis Testing and Confidence Intervals About the Difference in Two Means Using the z Statistic: Population Variances Known
  75. 10.2 Hypothesis Testing and Confidence Intervals About the Difference in Two Means Using the t Statistic: Independent Samples with Population Variances Unknown
  76. 10.3 Statistical Inferences for Two Related Populations
  77. 10.4 Statistical Inferences About TwoPopulation Proportions, p1 − p2
  78. 10.5 Testing Hypotheses About Two Population Variances
  79. End-of-Chapter Review
  80. CHAPTER 11: Analysis of Variance and Design of Experiments
  81. Introduction
  82. 11.1 Introduction to Design of Experiments
  83. 11.2 The Completely Randomized Design (One-Way ANOVA)
  84. 11.3 Multiple Comparison Tests
  85. 11.4 The Randomized Block Design
  86. 11.5 A Factorial Design (Two-Way ANOVA)
  87. End-of-Chapter Review
  88. CHAPTER 12: Correlation and Simple Regression Analysis
  89. Introduction
  90. 12.1 Correlation
  91. 12.2 Introduction to Simple Regression Analysis
  92. 12.3 Determining the Equation of the Regression Line
  93. 12.4 Residual Analysis
  94. 12.5 Standard Error of the Estimate
  95. 12.6 Coefficient of Determination
  96. 12.7 Hypothesis Tests for the Slope of the Regression Model and for the Overall Model
  97. 12.8 Estimation
  98. 12.9 Using Regression to Develop a Forecasting Trend Line
  99. End-of-Chapter Review
  100. CHAPTER 13: Multiple Regression Analysis
  101. Introduction
  102. 13.1 The Multiple Regression Model
  103. 13.2 Significance Tests of the Regression Model and Its Coefficients
  104. 13.3 Residuals, Standard Error of the Estimate, and R2
  105. 13.4 Interpreting Multiple Regression Computer Output
  106. 13.5 Using Regression Analysis: Some Caveats
  107. End-of-Chapter Review
  108. CHAPTER 14: Building Multiple Regression Models
  109. 14.1 Nonlinear Models: Mathematical Transformation
  110. 14.2 Indicator (Dummy) Variables
  111. 14.3 Model Building: Search procedures
  112. 14.4 Multicollinearity
  113. 14.5 Logistic Regression
  114. End-of-Chapter Review
  115. CHAPTER 15: Time-Series Forecasting and Index Numbers
  116. Introduction
  117. 15.1 Introduction to Forecasting
  118. 15.2 Smoothing Techniques
  119. 15.3 Trend Analysis
  120. 15.4 Seasonal Effects
  121. 15.5 Autocorrelation and Autoregression
  122. 15.6 Index Numbers
  123. End-of-Chapter Review
  124. CHAPTER 16: Analysis of Categorical Data
  125. Introduction
  126. 16.1 Chi-Square Goodness-of-Fit Test
  127. 16.2 Contingency Analysis: Chi-Square Test of Independence
  128. End-of-Chapter Review
  129. CHAPTER 17: Nonparametric Statistics
  130. Introduction
  131. 17.1 Runs Test
  132. 17.2 Mann-Whitney U Test
  133. 17.3 Wilcoxon Matched-Pairs Signed Rank Test
  134. 17.4 Kruskal-Wallis Test
  135. 17.5 Friedman Test
  136. 17.6 Spearman’s Rank Correlation
  137. End-of-Chapter Review
  138. CHAPTER 18: Statistical Quality Control
  139. Introduction
  140. 18.1 Introduction to Quality Control
  141. 18.2 Process Analysis
  142. 18.3 Control Charts
  143. End-of-Chapter Review
  144. CHAPTER 19: Decision Analysis
  145. Introduction
  146. 19.1 The Decision Table and Decision-Making Under Certainty
  147. 19.2 Decision-Making Under Uncertainty
  148. 19.3 Decision-Making Under Risk
  149. 19.4 Revising Probabilities in Light of Sample Information
  150. End-of-Chapter Review
  151. Appendix A: Tables
  152. Appendix B: Making Inferences About Population Parameters: A Brief Summary
  153. Appendix C: Answers to Selected Odd-Numbered Quantitative Problems
  154. Glossary
  155. Index
  156. End User License Agreement

People also search:

business statistics 4th edition sharpe pdf

business statistics sharpe 4th edition

business statistics 3rd edition

business statistics sharpe

business statistics third canadian edition

Instant download after Payment is complete

Related products

Main Menu