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04/04/2023
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Standard deviation or standard error?
Standard deviation (SD) describes the spread/ variability of values in a sample.
Standard error of the mean (SE) is the standard deviation of the sample means, that is the deviation of the sample means from the population mean. You can use the standard error if your data is samples from the same population. It provides an estimate of the precision of a parameter (e.g. mean) and used when one wants to make inferences about data from a sample to relevant population.
References:
https://www.bmj.com/content/331/7521/903.full.pdf+html
https://academic.oup.com/bja/article/90/4/514/274340?login=true
Standard deviations and standard errors The terms “standard error” and “standard deviation” are often confused.1 The contrast between these two terms reflects the important distinction between data description and inference, one that all researchers should appreciate. The standard deviation (often SD) is a measure of variability. ...
09/06/2022
How to choose the right statistical test?
Statistical tests are used in hypothesis testing. They can be used to determine whether an independent variable has a statistically significant relationship with an outcome variable or to estimate the difference between two or more groups.
The selection of statistical test depends upon:
▶️ Research questions / objectives
▶️ Types of variables being analyzed for independent and dependent variables (numerical/ categorical)
The following flowchart could help in choosing the right statistical test 😉
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