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Oct 7, 2024 · T-Test. Example: Compare average test scores of two different high-school classes. Justification: The t-test evaluates if there is a statistically significant difference between the means of two independent groups. Paired T-Test. Example: Measure glucose levels before and after treatment in the same group of patients.
- What Does A Statistical Test do?
- When to Perform A Statistical Test
- Choosing A Parametric Test: Regression, Comparison, Or Correlation
- Choosing A Nonparametric Test
- Flowchart: Choosing A Statistical Test
- Other Interesting Articles
Statistical tests work by calculating a test statistic – a number that describes how much the relationship between variables in your test differs from the null hypothesis of no relationship. It then calculates a p value (probability value). The p-value estimates how likely it is that you would see the difference described by the test statistic if t...
You can perform statistical tests on data that have been collected in a statistically valid manner – either through an experiment, or through observations made using probability sampling methods. For a statistical test to be valid, your sample size needs to be large enough to approximate the true distribution of the population being studied. To det...
Parametric tests usually have stricter requirements than nonparametric tests, and are able to make stronger inferences from the data. They can only be conducted with data that adheres to the common assumptions of statistical tests. The most common types of parametric test include regression tests, comparison tests, and correlation tests.
Non-parametric tests don’t make as many assumptions about the data, and are useful when one or more of the common statistical assumptions are violated. However, the inferences they make aren’t as strong as with parametric tests.
This flowchart helps you choose among parametric tests. For nonparametric alternatives, check the table above.
If you want to know more about statistics, methodology, or research bias, make sure to check out some of our other articles with explanations and examples.
The researcher makes no attempt to alter the variables or assign causation between them. ... A professor tests whether students perform better on a multiple‐choice ...
Jan 8, 2024 · There are two tutors for the class, Anastasia and Bernadette. There are N 1 =15 students in Anastasia’s tutorials, and N 2 =18 in Bernadette’s tutorials. The research question I’m interested in is whether Anastasia or Bernadette is a better tutor, or if it doesn’t make much of a difference.
Nov 8, 2019 · Hypothesis testing example. You want to test whether there is a relationship between gender and height. Based on your knowledge of human physiology, you formulate a hypothesis that men are, on average, taller than women. To test this hypothesis, you restate it as: H 0: Men are, on average, not taller than women. H a: Men are, on average, taller ...
Jan 8, 2024 · This takes us out of the dreary domain of the z-test, and into the magical kingdom of the t-test, with unicorns and fairies and leprechauns, and um… This page titled 13.1: The one-sample z-test is shared under a CC BY-SA 4.0 license and was authored, remixed, and/or curated by Danielle Navarro via source content that was edited to the style and standards of the LibreTexts platform.
Oct 17, 2021 · If you want to compare the means of two groups then the right tests to choose between are the z-test and the t-test. One-sample (one-sample z-test or a one-sample t-test): one group will be a sample and the second group will be the population. So you’re basically comparing a sample with a standard value from the population.
