What is the importance of statistical significance in research?
Statistical significance helps determine if results are likely due to chance or if they reflect true effects.
How do researchers determine if a result is statistically significant?
Researchers typically use a p-value threshold, often set at 0.05, to assess significance.
Can you explain what a p-value is?
A p-value measures the probability of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.
What happens if a result is not statistically significant?
If a result is not statistically significant, it suggests that the evidence is not strong enough to support a claim.
Why is statistical significance important in decision-making?
It helps ensure that decisions are based on reliable evidence rather than random chance, reducing the risk of errors.
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