توضیحاتی در مورد کتاب McGraw-Hill Ryerson Mathematics of Data Management, Solutions
نام کتاب : McGraw-Hill Ryerson Mathematics of Data Management, Solutions
عنوان ترجمه شده به فارسی : McGraw-Hill Ryerson ریاضیات مدیریت داده، راه حل
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ناشر :
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تعداد صفحات : 202
ISBN (شابک) : 0075608138
زبان کتاب : English
فرمت کتاب : pdf
حجم کتاب : 5 مگابایت
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McGraw-Hill Ryerson Mathematics of Data Management, Solutions
Table of Contents
Using McGraw-Hill Ryerson Mathematics of Data Management, Solutions
1 Tools for Data Management
1.1 The Iterative Process
1.2 Data Management Software
1.3 Databases
1.4 Simulations
1.5 Graph Theory
1.6 Modelling With Matrices
1.7 Problem Solving With Matrices
Review of Key Concepts
Chapter Test
2 Statistics of One Variable
2.1 Data Analysis With Graphs
2.2 Indices
2.3 Sampling Techniques
2.4 Bias in Surveys
2.5 Measures of Central Tendency
2.6 Measures of Spread
Review of Key Concepts
Chapter Test
3 Statistics of Two Variables
3.1 Scatter Plots and Linear Correlation
3.2 Linear Regression
3.3 Non-Linear Regression
3.4 Cause and Effect
3.5 Critical Analysis
Review of Key Concepts
Chapter Test
Cumulative Review: Chapters 1 to 3
4 Permutations and Organized Counting
4.1 Organized Counting
4.2 Factorials and Permutations
4.3 Permutations With Some Identical Items
4.4 Pascal\'s Triangle
4.5 Applying Pascal\'s Method
Review of Key Concepts
Chapter Test
5 Combinations and the Binomial Theorem
5.1 Organized Counting With Venn Diagrams
5.2 Combinations
5.3 Problem Solving With Combinations
5.4 The Binomial Theorem
Review of Key Concepts
Chapter Test
6 Introduction to Probability
6.1 Basic Probability Concepts
6.2 Odds
6.3 Probabilities Using Counting Techniques
6.4 Dependent and Independent Events
6.5 Mutually Exclusive Events
6.6 Applying Matrices to Probability Problems
Review of Key Concepts
Chapter Test
Cumulative Review: Chapters 4 to 6
7 Probability Distributions
7.1 Probability Distributions
7.2 Binomial Distributions
7.3 Geometric Distributions
7.4 Hypergeometric Distributions
Review of Key Concepts
Chapter Test
8 The Normal Distribution
8.1 Continuous Probability Distributions
8.2 Properties of the Normal Distribution
8.3 Normal Sampling and Modelling
8.4 Normal Approximation to the Binomial Distribution
8.5 Repeated Sampling and Hypothesis Testing
8.6 Confidence Intervals
Review of Key Concepts
Chapter Test
Cumulative Review: Chapters 7 and 8
Course Review