What are some alternatives to p-values in statistical analysis?

What are some alternatives to p-values in statistical analysis?

There are several alternatives to p-values, such as confidence intervals, effect sizes, and Bayesian methods. Would you like to know more about any specific alternative?

Can you explain confidence intervals?

Sure! A confidence interval provides a range of values that is likely to contain the true parameter of interest. It gives you an idea of the uncertainty around your estimate.

How do effect sizes differ from p-values?

Effect sizes measure the magnitude of a phenomenon, while p-values indicate the probability of observing the data if the null hypothesis is true. Effect sizes provide more information about the practical significance of results.

What are Bayesian methods?

Bayesian methods incorporate prior beliefs and evidence to update the probability of a hypothesis. They provide a more intuitive framework for statistical inference compared to traditional methods.

Which alternative is the most widely accepted?

It depends on the context, but effect sizes and confidence intervals are widely accepted in many fields as they provide more informative insights than p-values alone.