Slovin's Formula Notes
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Uploaded by AttractiveSard9716
Malabon National High School
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Summary
This document outlines Slovin's formula for calculating sample size in surveys. The formula accounts for population size and desired margin of error to determine the appropriate sample size. Important notes on applying the formula and considering population variability are also included.
Full Transcript
**Slovin\'s Formula Notes** **Purpose:** - Used to estimate the minimum sample size required for a survey or study. - Based on the desired margin of error and confidence level. **Formula:** n = N / (1 + Ne\^2) where: - n = sample size - N = population size - e = desired margin...
**Slovin\'s Formula Notes** **Purpose:** - Used to estimate the minimum sample size required for a survey or study. - Based on the desired margin of error and confidence level. **Formula:** n = N / (1 + Ne\^2) where: - n = sample size - N = population size - e = desired margin of error (expressed as a decimal) **Steps to Use:** 1. **Determine population size (N):** This is the total number of individuals in the population you want to study. 2. **Set the desired margin of error (e):** A smaller margin of error will require a larger sample size. Common values are 0.05 (5%) or 0.03 (3%). 3. **Calculate sample size (n):** Plug the values of N and e into the formula and solve for n. **Example:** If you have a population of 1000 people and want a margin of error of 5%, you would calculate the sample size as follows: n = 1000 / (1 + 1000 \* 0.05\^2) n ≈ 286 Therefore, a sample size of approximately 286 would be needed to achieve a margin of error of 5% in this population. **Important Notes:** - Slovin\'s formula is a simple and widely used method for estimating sample size. - It assumes a simple random sampling method. - For more complex sampling methods or specific study requirements, other formulas or statistical techniques may be more appropriate. - It\'s essential to consider factors like the variability of the population and the desired level of precision when determining the sample size.