To determine the total sample size required, you need to enter details into the sample size calculator for each stratum one at a time. This means you can be confident that in 95% of samples, the confidence interval will cover the true value of customer satisfaction. You also decide you want your margin of error for each group to be plus/minus 3 percentage points, with 95% confidence. 60% of small size businesses were satisfied 50% of medium size businesses were satisfied 40% of large size businesses were satisfied Your database shows that you have 10,000 large business customers, 20,000 medium business customers, and 8,000 small business customers. You have decided to run a survey and you want to produce estimates for large, medium and small size business customers. You have an allocated budget of $10,000 to determine how satisfied your customers are. For more information on stratification, refer to the Basic Survey Design manual on the ABS website by clicking here. For instance, you may wish to stratify by Geography (eg: state) to ensure a good mix of geographical areas are selected, or to help produce estimates for different geographical areas. Breaking the population up into strata helps ensure a representative mix of units is selected from the population and enough sample is allocated to groups you wish to form estimates about. Stratified random sampling is the technique of breaking the population of interest into groups (called strata) and selecting a random sample from within each of these groups.
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