The post explains the concept of hypothesis testing and how to perform an independent sample t-test using Python and Scipy. It discusses the null and alternate hypotheses, significance levels, and critical values. The example case involves testing the claim that a score of 98 is significantly higher than the average score. The results are interpreted based on the chosen significance level.
Table of contents
StorytimeOkay, so what are the Null & Alternate Hypotheses?How do we test our claim & reject his statement?What is an Independent Sample t-test?But how far above should our value be from the mean, to prove our friend wrong?Hypothesis testing (Python & Scipy)LibrariesData/SamplesVisualizeLooking at the histogram, how many std. dev away, do you think our score of 98 is?Choosing Alpha & the Test TypeInterpreting the ResultsConclusionInterpreting the ResultsConclusionThat’s all for this post!Langchain x OpenAI x Streamlit — Rap Song GeneratorAfter reviewing tons of resources, here is — How To Make Your Python Code Run Faster15 Impressions