Stratified Sampling Flashcards

GCSE Mathematics (Edexcel) 1MA1

Stratified Sampling

A sampling method where the population is divided into groups (strata) and a proportional sample is taken from each group.

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Terms in this set (10)

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Stratified Sampling

A sampling method where the population is divided into groups (strata) and a proportional sample is taken from each group.

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Strata

Subgroups within a population that share a common characteristic, such as age, gender, or income.

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Purpose of Stratified Sampling

To ensure that the sample accurately represents the population by including all key subgroups.

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Proportional Sampling

The process of selecting a sample size from each stratum in proportion to its size in the population.

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Formula for Sample Size from a Stratum

(Size of stratum ÷ Total population size) × Total sample size.

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Advantages of Stratified Sampling

It provides a more representative sample and reduces bias compared to simple random sampling.

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Disadvantages of Stratified Sampling

It can be time-consuming and requires detailed knowledge of the population to divide it into strata.

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Example of a Stratum

In a school, year groups (e.g., Year 7, Year 8) can be considered as strata.

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Steps in Stratified Sampling

1. Divide the population into strata. 2. Calculate the proportion of each stratum. 3. Select a proportional sample from each stratum.

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When to Use Stratified Sampling

When the population has distinct subgroups that need to be represented in the sample.

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