Completely Randomized Design (College Board AP® Statistics)

Study Guide

Mark Curtis

Written by: Mark Curtis

Reviewed by: Dan Finlay

Completely randomized design

What is a completely randomized design?

  • An experiment that has a completely randomized design is one in which all the experimental units are randomly assigned the different treatments

    • This creates treatment groups that are as similar as possible

    • This can also help to balance out any effects of confounding variables across the groups

  • Completely randomized designs can be used for two or more treatment groups

How do I randomly assign treatments?

  • To randomly assign two different treatments to, say, 100 experimental units

    • Label the experimental units from 1 to 100

    • Use a random number generator to generate random numbers between 1 and 100 until 50 unique numbers are obtained

      • Note how this is half of the sample size

      • Unique means no duplicate numbers (repeats)

    • Assign the experimental units who have those 50 unique numbers the first treatment and the remaining 50 receive the second treatment

Examiner Tips and Tricks

When describing how to randomly assign treatments to experimental units in the exam, it is important to highlight that you want unique numbers from a random number generator (no duplicates)!

How do I randomly assign treatments when there are more than two treatments?

  • This is most easily shown through an example

  • To randomly assign four different treatments to, say, 100 experimental units

    • Label the experimental units from 1 to 100

    • Use a random number generator to generate random numbers between 1 and 100 until 75 unique numbers are obtained

      • Note how this is three-quarters of the sample size

    • Assign the experimental units who have

      • the first 25 unique numbers the first treatment

      • the second 25 unique numbers the second treatment

      • the third 25 unique numbers the third treatment

      • then the remaining 25 the fourth treatment

Examiner Tips and Tricks

Whilst there are other methods for generating random numbers, it is easy to lose points in the exam when trying to describe them. It is often safer to talk about random number generators instead!

Worked Example

A medical researcher is conducting an experiment using a completely randomized design with 50 patients. The patients will be split into two equal groups, with one group taking a new medical drug and the other group taking a placebo.

Describe a method that the medical researcher can use to randomly assign the new medical drug and the placebo to all fifty patients.

Answer:

Number the patients from 1 to 50

Use a random number generator to generate random numbers between 1 and 50 until 25 unique numbers are obtained

Assign the patients who have those 25 unique numbers the new medical drug and assign the remaining patients the placebo

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Mark Curtis

Author: Mark Curtis

Expertise: Maths

Mark graduated twice from the University of Oxford: once in 2009 with a First in Mathematics, then again in 2013 with a PhD (DPhil) in Mathematics. He has had nine successful years as a secondary school teacher, specialising in A-Level Further Maths and running extension classes for Oxbridge Maths applicants. Alongside his teaching, he has written five internal textbooks, introduced new spiralling school curriculums and trained other Maths teachers through outreach programmes.

Dan Finlay

Author: Dan Finlay

Expertise: Maths Lead

Dan graduated from the University of Oxford with a First class degree in mathematics. As well as teaching maths for over 8 years, Dan has marked a range of exams for Edexcel, tutored students and taught A Level Accounting. Dan has a keen interest in statistics and probability and their real-life applications.