What does rigorous mean in statistics?

There are many different ways to be rigorous about statistics. One of the most important, and one that is often overlooked, is making sure that your methods and research design are logical. If you are trying to prove that a certain drug works better than a placebo, for example, you wouldn’t want to compare the two groups based on the color of their capsules. If you do, there’s a good chance you’ll arrive at the wrong conclusions.

What does rigorous mean in statistics analysis?

In rigorous statistics, there is consistency between the results of one statistical test and another. For example, the results of a statistical analysis are unlikely to be the same if you calculate the population mean based on the results of a sample of 55 people drawn from a population of 300. If you do the same for a set of 30 people drawn from a population of 1,000, you’ll likely get a different population mean.

What does rigorously mean in statistics therapy?

The word rigorous means strict, thorough, and methodical. Statistics is a method that uses numbers to analyze and understand a specific problem. Statistics, as a field of study, is rigorous because it uses the most reliable and valid statistical techniques to analyze data.

What does rigorous mean in statistics work?

In statistics, rigorous means that a method is methodically done. There are rules for each step so that you know the results you can trust. If you do not follow the rules, your results are not reliable.

What does rigorous mean in statistics education?

Rigorous statistics education is about developing and strengthening your critical thinking skills and using them to analyze the information you have. Statistics is a quantitative field, so learning to think about data in a logical, clear manner is essential. Being rigorous involves asking questions, looking at the data from all angles, and making sure you know what the data actually says.