Introduction to Sampling (College Board AP® Statistics)

Revision Note

Mark Curtis

Expertise

Maths

Introduction to Sampling

What are populations and samples?

  • A population is the set of all the possible elements (items / subjects / individuals) that you could study

  • A sample is a smaller subset of the population that you choose to study

    • This means the sample size, n, is smaller than the population size, N

  • You can use a sample to try to learn about the population

    • This is called generalizing

What does sampling with or without replacement mean?

  • When selecting elements from the population to use in a sample

    • sampling with replacement means elements can be selected more than once

    • sampling without replacement means elements can only be selected once

What does it mean for a sample to be representative?

  • A sample is representative of its population if the elements in it reflect similar patterns and behaviors to the population

    • One way to make a sample representative is to randomly select its elements from the population

What is a census?

  • A census is when you study the entire population

Advantages

Disadvantages

Census

  • Gives fully accurate results

  • Time consuming

  • Expensive to run

  • Impractical

  • May destroy elements (e.g. testing fireworks)

Sample

  • Quicker

  • Cheaper

  • Less data to analyze

  • May not be representative of the population

When can I use samples to make conclusions about populations?

  • You can only generalize conclusions from samples to their populations if the sample has been randomly selected

    • or the sample is representative in some other way

Worked Example

Twenty students will be randomly selected from a school of 800 students and asked if they are left-handed or not.

(a) What is the sample size?

Answer:

20

(b) Should sampling with replacement or sampling without replacement be used? Justify your answer.

Answer:

Sampling without replacement should be used, otherwise the same student could be asked twice

(c) Explain the significance of the sample being randomly selected when drawing conclusions from this study.

Answer:

The sample being randomly selected means that any conclusions drawn from the sample of 20 students can be generalized to the whole school of 800 students

For example, the proportion of left-handed students in the sample of size 20 can be used as an estimate for the proportion of left-handed students in the school of 800

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Mark Curtis

Author: Mark Curtis

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.