AI generatedStatisticsGCSE Foundation / IGCSE Core

Simple random sampling

Simple random sampling.

  • Start with a complete list. Give every member a unique number.
  • Select distinct numbers at random, without replacement, until the sample is complete.
  • Each possible sample of the chosen size should have the same chance. Random does not mean guaranteed representative.

Example 1

A club has 60 members. Describe how to select a simple random sample of 6 different members.

Number every member from 1 to 60. Generate random integers from 1 to 60, ignoring repeats, until 6 distinct numbers have been chosen. Survey those members.

Use the complete membership list. Every possible set of 6 members should have the same chance.

Example 2

Members are numbered 1–30. A random digit table gives 08, 08, 34, 12, 27, 03. Select 4 different members.

Choose 8, 12, 27 and 3.

Ignore the repeated 08 and the out-of-range 34; continue until 4 distinct valid numbers are selected.

Your turn

Question 1

A librarian wants a simple random sample of 5 books from 200. Describe a method.

Check answer
Number all 200 books from 1 to 200. Select 5 distinct numbers using a random number generator and inspect the corresponding books.

Do not restrict the selection to one shelf.

Question 2

A teacher selects the first 8 names on an alphabetical class list. Is this a simple random sample?

Check answer
No. Use a random number generator on uniquely numbered names instead.

The same first 8 students are always selected; other sets of 8 have no chance.

Question 3

Twenty identical folded slips each contain a different student’s name. Describe how to sample 4 students at random.

Check answer
Mix all slips thoroughly, then draw 4 without looking and without putting slips back.

Identical slips and random mixing avoid favouring particular students; no replacement prevents repeats.

Question 4

A random generator selects 14, 06, 14, 29 and 11 from a list of 30. A sample of 4 different students is needed. What should be kept?

Check answer
Keep 14, 6, 29 and 11.

Discard the repeated 14. Repeated draws do not count as additional people in the sample.

Question 5

A school randomly chooses 20 students from a complete list. Must the sample contain the same proportion from each year as the school?

Check answer
No. A simple random sample can differ from the population by chance.

Random selection gives an unbiased selection procedure; it does not guarantee exact group proportions in the resulting sample.