Hypothesis Testing in Python

Open to
Government analysts
Training category
Analytical
Type of training
Online
Length
Four to six hours
Organiser
Analysis Function Capability Team
Provider
Analysis Function Capability Team
Location
London, Newport, Titchfield

Description

This is a short self-study course on hypothesis testing, it mainly covers the type of errors while conducting a hypothesis test, calculating the probability of those errors, conducting a power analysis to find the power and sample size of a test.

The prerequisite of this course is the Introduction to python course. Also, the knowledge of statistical tests (such as t-test and chi-square test) is desirable.

Learning outcomes

By the end of the session, participants will:

  • understand what Type I and Type II errors are
  • know the relationship between alpha and Type I error and calculate the probability of Type I error
  • know why effect size is required and calculate the effect size
  • know the relationship between Beta and Type II error
  • calculate the power of the test and calculate the probability of Type II error
  • calculate the sample size given alpha, power and effect size

How to book

Please use your Learning Hub account to access the course on-line. Alternatively, please contact gss.capability@statistics.gov.uk.

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