Sampling data - Intermediate & Higher tier - WJECStratified sampling

Sampling helps estimate the characteristics of a large population through the use of a smaller representative group. This can be useful in market research, medical testing, and product development.

Part ofMaths Numeracy (WJEC)Statistics

Stratified sampling

Stratified sampling is used to select a sample that is representative of different groups.

If the groups are of different sizes, the number of items selected from each group will be proportional to the number of items in that group.

Example

Billy wants to survey 25 customers of a restaurant to find out which dessert they prefer. He decides to use a stratified sampling technique to work out how many people of each age group he should select.

The table below shows how many customers attended the restaurant in the last week. This is the total population. The sample size is the number of customers Billy wants to survey, 25 in this example.The strata size is the number of people in each group, 12, 34, 48, 21 and 3 in this example.

Age groupNumber of customers
11-2012
21-3034
31-4048
41-5021
51+3
Age group11-20
Number of customers12
Age group21-30
Number of customers34
Age group31-40
Number of customers48
Age group41-50
Number of customers21
Age group51+
Number of customers3

The total number of customers = 12 + 34 + 48 + 21 + 3 = 118.

He then uses the equation:

\(Number~selected~from~each~strata~=~(\frac{strata~size}{total~population})~\times~sample~size\)

Age groupNumber in sample
11-20(\(\frac{12}{118}\)) x 25 = 2.54 (3 customers)
21-30(\(\frac{34}{118}\)) x 25 = 7.20 (7 customers)
31-40(\(\frac{48}{118}\)) x 25 = 10.17 (10 customers)
41-50(\(\frac{21}{118}\)) x 25 = 4.45 (4 customers)
51+(\(\frac{3}{118}\)) x 25 = 0.63 (1 customer)
Age group11-20
Number in sample(\(\frac{12}{118}\)) x 25 = 2.54 (3 customers)
Age group21-30
Number in sample(\(\frac{34}{118}\)) x 25 = 7.20 (7 customers)
Age group31-40
Number in sample(\(\frac{48}{118}\)) x 25 = 10.17 (10 customers)
Age group41-50
Number in sample(\(\frac{21}{118}\)) x 25 = 4.45 (4 customers)
Age group51+
Number in sample(\(\frac{3}{118}\)) x 25 = 0.63 (1 customer)

It is possible to end up with a different number of items than you intended. If this happens you may have to add or take away one item from a specific group. You can select the appropriate group by looking at which calculation has been most affected by rounding.

Question

A toy store has staff from several different countries in the UK (as shown by the table below). The organisation wants to create a focus group of 50 staff to represent the four different countries.

If company bosses decide to use a stratified sampling methodology, how many people from each country should make up the focus group?

CountryNumber of staff members
Wales563
England1408
Scotland425
Northern Ireland211
CountryWales
Number of staff members563
CountryEngland
Number of staff members1408
CountryScotland
Number of staff members425
CountryNorthern Ireland
Number of staff members211