Statistics in Context
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Statistics in Context
Blatchley
Oxford University Press Inc
01/2018
696
Dura
Inglês
9780190278953
15 a 20 dias
Descrição não disponível.
Chapter 1 Introduction: Statistics--Who Needs Them?
Chapter 2 Types of Data
Chapter 3 A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics
Chapter 4 Measures of Central Tendency: What's So Average about the Mean?
Chapter 5 Variability: The "Law of Life"
Chapter 6 Where Am I? Normal Distributions and Standard Scores
Chapter 7 Basic Probability Theory
Chapter 8 The Central Limit Theorem and Hypothesis Testing
Chapter 9 The z-Test
Chapter 10 The t-Test
Chapter 11 Analysis of Variance
Chapter 12 Confidence Intervals and Effect Size: Building a Better Mousetrap
Chapter 13 Correlation and Regression: Are We Related?
Chapter 14 The Chi-Square Test
Chapter 15 Non-parametric Tests
Chapter 16 Which Test Should I Use and Why?
Chapter 2 Types of Data
Chapter 3 A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics
Chapter 4 Measures of Central Tendency: What's So Average about the Mean?
Chapter 5 Variability: The "Law of Life"
Chapter 6 Where Am I? Normal Distributions and Standard Scores
Chapter 7 Basic Probability Theory
Chapter 8 The Central Limit Theorem and Hypothesis Testing
Chapter 9 The z-Test
Chapter 10 The t-Test
Chapter 11 Analysis of Variance
Chapter 12 Confidence Intervals and Effect Size: Building a Better Mousetrap
Chapter 13 Correlation and Regression: Are We Related?
Chapter 14 The Chi-Square Test
Chapter 15 Non-parametric Tests
Chapter 16 Which Test Should I Use and Why?
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Chapter 1 Introduction: Statistics--Who Needs Them?
Chapter 2 Types of Data
Chapter 3 A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics
Chapter 4 Measures of Central Tendency: What's So Average about the Mean?
Chapter 5 Variability: The "Law of Life"
Chapter 6 Where Am I? Normal Distributions and Standard Scores
Chapter 7 Basic Probability Theory
Chapter 8 The Central Limit Theorem and Hypothesis Testing
Chapter 9 The z-Test
Chapter 10 The t-Test
Chapter 11 Analysis of Variance
Chapter 12 Confidence Intervals and Effect Size: Building a Better Mousetrap
Chapter 13 Correlation and Regression: Are We Related?
Chapter 14 The Chi-Square Test
Chapter 15 Non-parametric Tests
Chapter 16 Which Test Should I Use and Why?
Chapter 2 Types of Data
Chapter 3 A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics
Chapter 4 Measures of Central Tendency: What's So Average about the Mean?
Chapter 5 Variability: The "Law of Life"
Chapter 6 Where Am I? Normal Distributions and Standard Scores
Chapter 7 Basic Probability Theory
Chapter 8 The Central Limit Theorem and Hypothesis Testing
Chapter 9 The z-Test
Chapter 10 The t-Test
Chapter 11 Analysis of Variance
Chapter 12 Confidence Intervals and Effect Size: Building a Better Mousetrap
Chapter 13 Correlation and Regression: Are We Related?
Chapter 14 The Chi-Square Test
Chapter 15 Non-parametric Tests
Chapter 16 Which Test Should I Use and Why?
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.