What are common mistakes in determining sample size?

What are common mistakes in determining sample size?

Some common mistakes include not considering the population size, using an inappropriate confidence level, and ignoring variability.

How does population size affect sample size?

Population size can influence the required sample size, especially in smaller populations where a larger proportion is needed for accuracy.

What is the impact of confidence level on sample size?

A higher confidence level requires a larger sample size to ensure that the results are reliable and representative.

Can you explain the concept of variability?

Variability refers to how much the data points differ from each other. Higher variability means you need a larger sample size to capture that diversity.

What tools can I use to calculate sample size?

You can use statistical software like R, Python libraries, or online calculators specifically designed for sample size determination.