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Mode: for individual, discrete & continuous series

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  • The mode is a statistical measure that identifies the most frequently occurring value in a dataset.

  • It's particularly useful in pharmaceutical research for identifying common outcomes, such as the most common side effects of a drug, the dosage level most frequently effective, or the most prevalent disease symptoms among patients.

  • Unlike the mean and median, the mode can be used with nominal data (categories) as well as ordinal, interval, and ratio data.

  • Let’s explore how the mode is determined for individual series, discrete series (or ungrouped series), and continuous series, with pharmaceutical examples for each.

Hi! Your clicks on ads help us keep this blog going strong. If you like what you see, please consider clicking on any ads. Thanks for your support!

Hi! Your clicks on ads help us keep this blog going strong. If you like what you see, please consider clicking on any ads. Thanks for your support!

Hi! Your clicks on ads help us keep this blog going strong. If you like what you see, please consider clicking on any ads. Thanks for your support!

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