Published Jul 8, 2016

Multiple Comparisons and Conversion Optimization

Explore conversion rate optimization with Chris Stucchio and Kyle Polich as they delve into the nuances of statistical analysis, A/B testing, and the ethical handling of data to combat p-hacking, ensuring effective and truthful decision-making strategies.

Episode Highlights

Topics covered

Episode Highlights

Related Episodes

Bayesian A/B Testing
Answers 383 questions
Networks for AB Testing
Answers 383 questions
The Experimental Design of Paranormal Claims
Answers 383 questions
[MINI] Exponential Time Algorithms
Answers 383 questions
Data Science at eHarmony
Answers 383 questions
[MINI] The T-Test
Answers 383 questions
Visualization and Interpretability
Answers 383 questions
Evolutionary Computation
Answers 383 questions
Flesch Kincaid Readability Tests
Answers 383 questions
Data Skeptic: Ad Tech
Answers 383 questions
[MINI] The Chi-Squared Test
Answers 383 questions
Social Networks
Answers 383 questions
Machine Learning Done Wrong
Answers 383 questions
False Discovery Rates
Answers 383 questions
4 out of 5 Data Scientists Agree
Answers 383 questions

Dexa/Kyle Polich

Multiple Comparisons and Conversion Optimization

Topics covered

Popular Clips

The Slicing Dilemma

High Frequency Trading Insights

Increasing Conversion Rates

Hierarchical Models in Conversion Rate Optimization

Testing Methodologies

Avoiding False Positives

A/B Testing Basics

Optimizing A/B Tests

Time Series Analysis

P Hacking Exposed

Understanding Network Effects

Uncertainty in Conversion Rates

Understanding A/B Testing

Episode Highlights

Conversion Optimization

Advanced Statistical Techniques

A/B Testing Practices

Addressing P-Hacking

Related Episodes

Bayesian A/B Testing

Networks for AB Testing

The Experimental Design of Paranormal Claims

[MINI] Exponential Time Algorithms

Data Science at eHarmony

[MINI] The T-Test

Visualization and Interpretability

Evolutionary Computation

Flesch Kincaid Readability Tests

Data Skeptic: Ad Tech

[MINI] The Chi-Squared Test

Social Networks

Machine Learning Done Wrong

False Discovery Rates

4 out of 5 Data Scientists Agree

Multiple Comparisons and Conversion Optimization

Topics covered

Popular Clips

Episode Highlights

Conversion OptimizationChris Stucchio joins Kyle Polich to explore conversion rate optimization and the importance of accurate statistical analysis. They discuss user research techniques and the distinction between empirical and true conversion rates.

Conversion Optimization

Advanced Statistical Techniques

A/B Testing PracticesThe discussion shifts to the intricacies of A/B testing, a critical method for optimizing web pages. Chris Stucchio shares insights on the importance of proper statistical interpretation and the challenges of running tests under varying conditions.

A/B Testing Practices

Addressing P-Hacking

Related Episodes