What is the impact of sample size on the reliability of research findings?

What is the impact of sample size on the reliability of research findings?

The sample size significantly affects the reliability of research findings. Larger sample sizes tend to provide more accurate estimates of the population parameters, reducing the margin of error and increasing the confidence in the results.

Can you explain why larger sample sizes are more reliable?

Certainly! Larger sample sizes help to minimize the effects of random variation and outliers, leading to results that are more representative of the entire population. This reduces the likelihood of Type I and Type II errors.

What is a good sample size for a survey?

A good sample size depends on various factors, including the population size, the desired confidence level, and the margin of error. Generally, a sample size of at least 30 is recommended for basic statistical analysis, but larger sizes are better for more accurate results.

How does sample size affect statistical power?

Sample size directly influences statistical power, which is the probability of correctly rejecting a false null hypothesis. Larger sample sizes increase power, making it easier to detect true effects.