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Colchester Community Survey (Visitors and Residents) Report of Findings September 2020Prepared by:On behalf of:1Colchester Community Thant Visitor SurveySurvey Report of Findings Introduction Introduction
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How to fill out stratified simple random sampling

01
Determine the total sample size needed for the study.
02
Divide the population into distinct strata based on a relevant characteristic (e.g. age, income level, geographical location).
03
Calculate the proportion of the total sample size that each stratum should represent.
04
Use simple random sampling within each stratum to select the required number of samples.
05
Combine the samples from each stratum to create the final stratified sample.

Who needs stratified simple random sampling?

01
Researchers conducting studies on populations with distinct subgroups that may have varying characteristics or behaviors.
02
Individuals or organizations looking to ensure representation of different segments of a population in their sample.
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Stratified simple random sampling is a method of sampling where the population is divided into different groups (strata) and simple random samples are taken from each group.
Organizations or researchers conducting surveys or studies that require sampling from different subgroups within a population may be required to use stratified simple random sampling.
To fill out stratified simple random sampling, first identify the different subgroups within the population, then randomly select samples from each subgroup according to the desired proportion.
The purpose of stratified simple random sampling is to ensure that each subgroup within the population is represented proportionally in the sample, thus providing more accurate and reliable results.
The information that must be reported on stratified simple random sampling includes the number of subgroups, the sample size from each subgroup, and any relevant demographic or other characteristics of the population.
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