Chapter 7: Drawing Conclusions from Data

Learning Objectives

•Apply the core principles of statistical inference, from framing research questions through data collection to statistical inference and interpretation of results.

•Organize the steps involved in data collection and study design.

•Communicate using the specific terminology of statistical inference.

•Analyze data through exploratory techniques as a precursor to inference.

•Choose appropriate methods for drawing conclusions in observational studies.

•Understand false positives and false negatives.

•Use the fundamentals of A/B testing to propose experiments and interpret results.

Google Drive For Chapter 7 Review Questions

Google Drive For Chapter 7 "Try It Yourself" Python Notebooks

Google Drive For Chapter 7 Data Sets

Section 7.1: Introduction to Statistical Inference

Section 7.2: Data Collection and Study Design

Section 7.3: The Language of Statistical Inference

Try It Yourself: Estimate the Probability of an Event

Try It Yourself: Make a Statistical Inference

Section 7.4: Exploratory Data Analysis to Begin Inference

Section 7.5: Drawing Conclusions in an Observational Study

Try It Yourself: Evaluate a Hypothesis

Try It Yourself: Perform a t-Test on Observational Data

Try It Yourself: Perform a t-Test Using a Different Alternative Hypothesis

Try It Yourself: Draw Conclusions from a Correlation

Try It Yourself: Identify Type I and Type II Errors

Section 7.6: A/B Testing as a Case of Experiments

Try It Yourself: Identify an A/B Test’s Null and Alternative Hypotheses

Try It Yourself: Perform t-Tests on A/B Testing Data

Try It Yourself: Identify Type I and Type II Errors in A/B Testing Results