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2021 Cost Share Project Ranking Form Name: Project Year: Representative Name (if different from above): Lake: Erosion Intensity Score: 48 (1) if greater than 48(For Office Use only)THIS PROJECT: is
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01
Simple random sampling: Every individual in the population has an equal chance of being selected.
02
Systematic sampling: Selecting every nth individual from the population after random selection of a starting point.
03
Stratified sampling: Dividing the population into homogenous groups and then selecting a proportional number from each group.
04
Cluster sampling: Dividing the population into clusters and randomly selecting a few clusters for sampling.
05
Convenience sampling: Selecting individuals who are easily accessible or readily available.
06
Judgmental sampling: Handpicking individuals based on the researcher's judgment and expertise.

Who needs 6 sampling techniques how?

01
Researchers and statisticians who want to collect unbiased data and make accurate generalizations about a population need to understand and utilize different sampling techniques. These techniques help in ensuring representative samples and reducing bias in the collected data.
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6 sampling techniques are methods used to select a subset of data from a larger dataset in order to make inferences about the larger dataset as a whole.
Anyone conducting a study or analysis that requires sampling may need to use sampling techniques.
To fill out 6 sampling techniques, one must first determine the appropriate sampling method to use, then select the sample size, collect the data from the sample, and analyze the results.
The purpose of 6 sampling techniques is to gather a representative sample of data from a larger population in order to draw conclusions or make predictions about the population.
The information reported on 6 sampling techniques may include the sampling method used, the sample size, the data collected, and the results of the analysis.
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