What are the effects of sample size on research results?
An example of an AI chatbot conversation about the impact of sample size in research studies.
What are the effects of sample size on research results?
Sample size significantly affects the reliability and validity of research results. A larger sample size generally leads to more accurate estimates of population parameters and reduces the margin of error.
Can you explain why a larger sample size is better?
A larger sample size helps to minimize the impact of random variation and outliers, providing a clearer picture of the true population characteristics.
What happens if the sample size is too small?
If the sample size is too small, the results may be unreliable, leading to greater variability and a higher chance of Type I or Type II errors.
How do I determine the right sample size for my study?
Determining the right sample size involves considering factors like the desired confidence level, margin of error, and the expected effect size.
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