Summary

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Key takeaways

This chapter has demonstrated the types of questions an analyst could ask about a continuous random variable and answer using statistical inference. It provides conceptual preparation for understanding statistical inference, demonstrates how to get data ready for analysis in R, and then illustrates how to conduct two types of statistical inferences:

Null hypothesis testing
Confidence interval construction

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Introduction to the course

Getting Started with R

Get Data Ready: Import, Inspect, and Prepare Data

One-sample and Difference-of-Means Tests

Covariance and Correlation

Regression Analysis

Regression Diagnostics and Sensitivity Analysis

Replication of Findings in Published Analyses

Conclusion

Appendix-A

Appendix-B

Summary