Why is statistical significance important in research?
Statistical significance helps determine if results are likely due to chance or if they reflect true effects in the population.
Can you explain how it's measured?
It's typically measured using a p-value, which indicates the probability of observing the results if the null hypothesis is true.
What p-value is considered statistically significant?
A p-value of less than 0.05 is commonly used as a threshold for statistical significance, indicating strong evidence against the null hypothesis.
Are there limitations to relying on p-values?
Yes, p-values can be misleading. They don't measure the size of an effect or its practical significance, and they can be influenced by sample size.
What should researchers consider beyond p-values?
Researchers should also consider effect sizes, confidence intervals, and the context of the research to draw meaningful conclusions.
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