How to Determine Sample Size for Research

TL;DR

To accurately determine sample size for research, consider the desired precision, population variability, and confidence level. Using Cochran’s formula for infinite populations or Taro Iman’s formula for finite populations helps ensure that your sample represents the target population effectively.

Transcript

hello everybody and welcome to lesson 11 determining the sample size contents covered in this lesson are the first one is determining the sample size in the case of infinite population using Cochran formula and the second is determining the sample size in the case of finite population using Taro yemada formula if we want to conduct a research on a ... Read More

Key Insights

• 👨‍🔬 Conducting a census is resource-intensive and may be impractical for certain research studies.
• 🎚️ Determining sample size requires considering the margin of error, confidence level, and variability within the population.
• 🉑 Marginal error represents the acceptable variation between sample mean and population mean.
• 🎚️ The confidence level indicates the level of certainty that the confidence interval includes the true population mean.
• ❓ Variability within the population affects the required sample size.
• ❓ Cochran formula is used to determine sample size for infinite populations.
• ❓ Taro Iman formula provides a simplified approach for calculating sample size, assuming 95% confidence and a variability of 0.5.

Summary & Key Takeaways

• Conducting a survey or research study on a population can be resource-intensive or infeasible, so sampling is often used instead.

• Determining the sample size requires knowledge of the desired level of precision, variability within the population, and confidence level.

• Marginal error represents the acceptable variation in sample mean from the population mean, expressed as a percentage, and is determined based on research requirements.