What does reliable mean in statistics?

A statistical model is said to be reliable if it produces accurate results most of the time. It is not very reliable if there is a high probability of producing an inaccurate result. The reliability of a statistical model is dependent on the quality of your data and analysis.

What does reliable mean in statistics homework?

If you are doing statistics homework in school, reliability refers to the consistency of your data. If your statistics homework has an error, you could end up with an unreliable result. One example of an unreliable statistical result is a sample size that is too small. If the sample size is too small, any result could be wrong. Another example of an unreliable statistical result is when your data is dependent on the experience of your researcher.

What does reliable mean when you say a statistic is reliable?

Statisticians use the term “reliability” to describe the consistency of the results of a survey or other statistical project. If the same questions were asked of 100 people and the results were the same for all of them, then the results would be highly reliable. If there were inconsistencies with the results, then the results would be less reliable.

What does reliable mean in statistics class?

One of statistics' most common usages is to measure the reliability of a sample. A sample is reliable when it accurately reflects the population from which it came. If a sample size is too small, it may not accurately represent the population, resulting in unreliable results.

What does the word reliable mean in statistics?

A reliability diagram is a way of visually illustrating the reliability of statistical data. It shows the number of measurements that are collected that would be expected to fall within a particular range based on the average value. The model for constructing a reliability diagram is shown below.