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Chapter 5Stratified Sampling 5.1IntroductionStratified sampling refers to the sampling designs where the finite population is partitioned into several subpopulations, called strata, and sample draws

How to fill out stratified sampling - jkim

How to fill out stratified sampling?

1. Identify the population: Begin by determining the overall population you want to study or sample from. This could be a group of people, objects, or events.
2. Divide the population into strata: Divide the population into distinct and non-overlapping subgroups called strata. Each stratum should be internally homogeneous and collectively heterogeneous. For example, if you're studying customer preferences in a retail store, you could divide the population into strata such as age groups (18-25, 26-35, 36-45), gender (male, female), or income levels (low, medium, high).
3. Determine the sample size: Decide on the sample size you want for each stratum. The sample size should be representative enough to draw accurate conclusions about the entire population. Consider using appropriate statistical techniques to determine the sample size for each stratum.
4. Randomly select samples from each stratum: Within each stratum, use a random sampling method to select samples. This ensures that every item or individual within the population has an equal chance of being chosen for the sample. You can use methods like simple random sampling or systematic random sampling to select the samples from each stratum.
5. Combine the samples from each stratum: Once you have samples from each stratum, combine them to form the final stratified sample. This combined sample should represent the diversity and characteristics of the entire population accurately.

Who needs stratified sampling?

1. Researchers conducting surveys or studies: Stratified sampling is particularly useful when researchers want to study specific subgroups within a larger population. By dividing the population into strata and sampling from each stratum, researchers can ensure that their findings are representative of various groups within the population.
2. Organizations performing market research: Businesses often utilize stratified sampling to gather data about their target market. By segmenting the population based on relevant characteristics like age, income, or geographic location, organizations can obtain insights into different customer segments and tailor their marketing strategies accordingly.
3. Governments or policymakers: Stratified sampling can be used by governments or policymakers to collect data for social or economic policies. By stratifying the population into relevant groups, policymakers can understand the unique needs and preferences of different segments, allowing them to make informed decisions and allocate resources effectively.

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What is stratified sampling?

Stratified sampling is a sampling method used in statistics where the population is divided into subgroups or strata before taking samples.

Who is required to file stratified sampling?

Researchers, statisticians, and data analysts may use stratified sampling in their studies or surveys.

How to fill out stratified sampling?

To fill out stratified sampling, you need to first divide the population into homogeneous subgroups, then take samples from each subgroup, and finally combine the results.

What is the purpose of stratified sampling?

The purpose of stratified sampling is to ensure that each subgroup in the population is represented in the sample, thus providing more accurate and reliable results.

What information must be reported on stratified sampling?

The information reported on stratified sampling includes the sampling method used, the characteristics of each subgroup, and the results obtained from each subgroup.