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/(6621&5($785()($785(This lesson is comprised of four parts grouped to enable students to gain appreciation of the importance making accurate scientific observations, descriptions, and drawings. Part
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How to fill out how stratified random sampling

01
Identify the population that you want to study.
02
Divide the population into homogeneous subgroups based on a specific characteristic (strata).
03
Determine the appropriate sample size for each stratum.
04
Use a random selection method to choose individuals from each stratum to be included in the sample.
05
Combine all selected individuals from each stratum to form the final stratified random sample.

Who needs how stratified random sampling?

01
Researchers who want to ensure that different subgroups within a population are represented proportionally in their sample.
02
Organizations conducting surveys or studies where certain characteristics of the population are of particular interest.
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Stratified random sampling is a method of sampling that involves dividing a population into distinct subgroups or strata and then randomly selecting samples from each stratum to ensure representation across different segments.
Individuals or organizations conducting research or surveys that require a representative sample from a diverse population may be required to use and file results from stratified random sampling.
To fill out a report on stratified random sampling, identify the strata within your population, gather the relevant data from each stratum, and then present the sampling method, sample size, and demographic breakdown clearly in your documentation.
The purpose of stratified random sampling is to increase the accuracy and representativeness of sample results by ensuring that specific subgroups are included in the sample in proportion to their presence in the population.
Reports on stratified random sampling should include the definitions of each stratum, the method of selection, sample sizes from each stratum, along with any relevant statistical analyses conducted.
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