Why is sample size important in research?
Sample size is crucial because it affects the reliability and validity of research results. A larger sample size generally leads to more accurate estimates and reduces the margin of error.
What happens if the sample size is too small?
If the sample size is too small, the results may not be representative of the population, leading to biased conclusions and reduced statistical power.
How do I determine the right sample size for my study?
Determining the right sample size involves considering factors like the population size, the desired confidence level, and the expected effect size. Statistical formulas and software can help with this.
Can you give an example of a study with a small sample size?
Sure! A clinical trial with only 10 participants may struggle to show significant effects, making it hard to generalize findings to a larger population.
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