Overview
Statistical significance is a fundamental concept in statistics that helps researchers determine whether their findings are likely due to chance or represent a true effect. It is primarily assessed using p-values, which indicate the probability of observing the data under the null hypothesis. A low ...
Key Terms
Example: A p-value of 0.03 indicates a 3% chance of observing the data if the null hypothesis is true.
Example: The null hypothesis might state that a new drug has no effect on patients.
Example: The alternative hypothesis states that the new drug does have an effect on patients.
Example: A 95% confidence interval for a mean might be (10, 15), suggesting the true mean is likely between these values.
Example: Concluding a drug is effective when it is not is a Type I error.
Example: Not detecting an effect of a drug when it actually works is a Type II error.