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Created 4 years ago
Inferential Statistics Ib - Frequentism
Learning objectives
This assignment takes you on a brief journey through frequentist statistics. You will explore
- the z-statistic
- the t-statistic
- the difference and relationship between the two
- the Central Limit Theorem, its assumptions and consequences
- how to estimate the population mean and standard deviation from a sample
- the concept of a sampling distribution of a test statistic, particularly for the mean
- how to combine these concepts to calculate confidence intervals and p-values
- how those confidence intervals and p-values allow you to perform hypothesis (or A/B) tests
Prerequisites
For working through this notebook, you are expected to have an understanding of:
- the idea of a random variable
- what a probability density function (pdf) is
- and the cumulative density function
- what the Normal distribution is at a high level
It will be helpful if you are familiar with the concept of a sampling distribution, but this assignment will introduce this and give you hands on experience. As such, this notebook will take you from a basic understanding of random variables, and probability and bridge the gap to applying it in Python before moving on to a real world application.