Statistical Hypothesis Testing
Explore the foundational concepts of statistical hypothesis testing to evaluate assumptions about datasets. Understand null and alternative hypotheses, Type 1 and Type 2 errors, degrees of freedom, and various testing methods like p-value and critical-value approaches. This lesson guides you through one-tailed and two-tailed tests and introduces practical application using t-tests, enabling you to confidently analyze data-driven questions.
We'll cover the following...
We'll cover the following...
Statistical hypothesis testing
What is a hypothesis?
A hypothesis is a testable statement, which is tested using some investigation or experimentation. We make specific assumptions about the dataset which is called the hypothesis and they are further accepted or rejected using some methods.
Hypothesis testing
Hypothesis testing is a statistical analysis that uses sample ...