/Hypothesis-Testing

A Python based implementation of t-test to find relative effect of recession on university and non-university US regions.

Primary LanguageJupyter NotebookMIT LicenseMIT

Hypothesis Testing - Null Hypothesis

Objective: Implement a null hypothesis test to study the relative effect on house prices of university and non-university regions of USA in recession.

Hypothesis: University towns have their mean housing prices less effected by recessions. Run a t-test to compare the ratio of the mean price of houses in university towns the quarter before the recession starts compared to the recession bottom. (price_ratio=quarter_before_recession/recession_bottom)

Conclusion: Since the p-value is less then the threshold p-value of 0.01, so we reject the null hypothesis and concludes that University towns have their mean housing prices less effected by recessions.