Interpreting and Evaluating Statistical Results

Probability and Expected Frequencies

• 3.5.1 Probability Comparisons
• 3.5.2 Expected Frequencies
• 3.5.3 Relative and Absolute Risks

Experimental and Theoretical Probability

• 3.5.4 Bias Identification
• 3.5.5 Probability Convergence
• 3.5.6 Probability Diagrams

Comparing Data Sets

• 3.5.7 Central Tendency Comparisons
• 3.5.8 Spread Comparisons
• 3.5.9 Sample and Population Comparisons
• 3.5.10 Tabular Data Interpretation

Formal Probability Notation

• 3.5.11 Independent Events Notation
• 3.5.12 Conditional Probability Notation

Skewness and Outliers

• 3.5.13 Skewness Interpretation
• 3.5.14 Outlier Interpretation

• 3.5.15 Seasonal and Cyclic Trends

Rates of Change and Index Numbers

• 3.5.16 Rates of Change Interpretations
• 3.5.17 Rates of Change Calculations
• 3.5.18 Index Numbers

Correlation

• 3.5.19 Correlation Vocabulary
• 3.5.20 Correlation Strength
• 3.5.21 Correlation Versus Causation

Correlation Coefficients

• 3.5.22 Spearman's Rank Interpretation
• 3.5.23 Pearson's Correlation Coefficient
• 3.5.24 Correlation Coefficient Comparisons

Binomial Distribution and Bias

• 3.5.25 Bias Analysis
• 3.5.26 Binomial Distribution Characteristics

Normal Distribution and Quality Assurance

• 3.5.27 Normal Distribution Properties
• 3.5.28 Normal Distribution Probabilities
• 3.5.29 Quality Assurance Lines
• 3.5.30 Standardised Sample Data

Estimating Population Characteristics

• 3.5.31 Population Characteristic Estimates
• 3.5.32 Population Mean Estimates
• 3.5.33 Population Proportion Predictions
• 3.5.34 Capture and Recapture Method

Sample Size and Reliability

• 3.5.35 Sample Size Impacts
• 3.5.36 Sample Mean Distributions