Episode Synopsis "Inference for Regression"

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More episodes of the podcast Significant Statistics

• Assessing Normality Visually
• The Exponential Distribution
• Measures of General Continuous Random Variables
• Advanced Probability
• One-Way ANOVA
• "Pooled" Inference for Two Independent Sample Means
• The Poisson Distribution
• Cautions About Regression
• Modeling Linear Trends
• Measures of Association
• Introduction to Bivariate Data and Scatterplots
• Inference for Two Sample Proportions
• Inference for Two Independent Sample Means
• Inference for Two Dependent Samples (Matched pairs)
• Hypothesis Testing In-Depth
• Intro to Hypothesis Testing
• Behavior of Confidence Intervals for the Sample Mean
• Intro to Confidence Intervals
• Behavior of Confidence Intervals for a Proportion
• Inference for One Sample Proportions
• The Sampling Distribution of the Sample Proportion
• Inference for One Sample Means in Practice
• The Sampling Distribution of the Sample Mean (Sigma UnKnown)
• Normal Approximation
• The Sampling Distribution of the Sample Mean (Sigma Known)
• Point Estimation and Sampling Distributions
• The Normal Distribution
• Introduction to Continuous Random Variables and the Uniform Distribution
• The Binomial Distribution
• Measures of General DRVs
• Introduction to Discrete Random Variables and Notation
• Compound Events
• Getting Started
• Visualizing Probabilities
• Introduction to Probability and Terminology
• Measures of Spread
• Measures of Center
• Measures of Location and Outliers
• Describing Quantitative Distributions
• Displaying Quantitative Data
• Displaying and Describing Categorical Data
• Introduction to Descriptive Statistics and Frequency Tables
• Sampling Techniques and Ethics
• Designed Experiments
• Data Collection and Observational Studies
• Data Basics
• Introduction to Statistics and Key Terms
• Types of Two-Way Table Tests (Independence vs. Homogeneity)
• Tests for Two-Way Tables
• More Goodness Of Fit Tests
• Goodness Of Fit Tests
• Inference for Regression
• Simple Linear Regression
• Intro to Inference and the Central Limit Theorem