Can I read Private Hypothesis Testing for Social Sciences on EtoBox?

Private Hypothesis Testing for Social Sciences by Mulay, Ajinkya K; Lane, Sean; Hennes, Erin is a scholarly article available to read on EtoBox.

What is Private Hypothesis Testing for Social Sciences about?

While running any experiment, we often have to consider the statistical power to ensure an effective study. Statistical power or power ensures that we can observe an effect with high probability if such a true effect exists. However, several studies lack the appropriate planning for determining the optimal sample size to ensure adequate power. Thus, careful planning ensures that the power remains high even under high measurement errors while keeping the type 1 error constrained. We study the impact of differential privacy on experiments and theoretically analyze the change in sample size required due to the Gaussian mechanisms. Further, we provide an empirical method to improve the accuracy of private statistics with simple bootstrapping.

Author

Mulay, Ajinkya K; Lane, Sean; Hennes, Erin

Published

2022

Language

EN