Describe the Procedures for Conducting a Simple Random Sample

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The Answer is Conducting a simple random sample involves several key steps to ensure that every individual in the population has an equal chance of being selected. Here's a detailed description of the procedures:

1. **Define the Population**: Clearly define the population from which you want to draw a sample. The population should be homogenous where each member has similar characteristics relevant to the study.

2. **Create a Sampling Frame**: List every member of the population in a sampling frame. This list should be exhaustive and exclusive, meaning that every member appears once and only once.

3. **Assign Identifiers**: Assign a unique identifier to each member of the population. This could be a number or code that is used to select the sample.

4. **Determine Sample Size**: Decide on the sample size needed for the study. This can be based on statistical formulas that take into account the desired level of precision, confidence level, and the variability of the population.

5. **Random Selection**: Use a random method to select members from the population. This can be done using random number tables, a random number generator, or software designed for statistical sampling. Ensure that the method used does not introduce any bias.

6. **Draw the Sample**: Match the randomly generated numbers with the identifiers assigned to the population members. The individuals whose identifiers correspond to the random numbers form the sample.

7. **Check for Adequacy**: Review the sample to ensure it is representative of the population. If the sample appears to be biased or not representative, you may need to draw a new sample.

8. **Collect Data**: Once the sample is finalized, proceed with data collection according to the research design.

9. **Analyze and Infer**: Analyze the data collected from the sample. Since the sample is randomly selected, you can infer the results back to the entire population within the margin of error and confidence level.

10. **Document the Process**: Record all steps taken during the sampling process. This includes how the population was defined, how the sample was drawn, and any difficulties encountered. This documentation is crucial for the transparency and reproducibility of the study.

Simple random sampling is a fundamental method in statistics that, when executed correctly, allows for the collection of unbiased data that can be generalized to the larger population.

Describe the Procedures for Conducting a Simple Random Sample

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