How do I interpret the results of my statistical analysis?

How do I interpret the results of my statistical analysis?

To interpret your statistical results, start by looking at the p-values and confidence intervals. What specific results do you have?

I have a p-value of 0.03 and a confidence interval of 95%.

A p-value of 0.03 suggests that your results are statistically significant, meaning there's a 3% chance the results are due to random variation. The 95% confidence interval gives you a range where you can be 95% confident the true effect lies.

What does it mean if the confidence interval includes zero?

If the confidence interval includes zero, it indicates that there may be no effect or difference, suggesting that your results may not be statistically significant.

Can you explain the difference between Type I and Type II errors?

Sure! A Type I error occurs when you incorrectly reject a true null hypothesis (false positive), while a Type II error happens when you fail to reject a false null hypothesis (false negative).