That was pure statistics (data science).

Notice that, wrongly rejecting a true H0 (also called a Type-I error) is just one type of error; there can be another type as well; that is, accepting an untrue H0 (also called Type-II error). (..more on this in the next article).
Decoding Statistical Significance: A Marketer’s Guide
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Deepak Chopra | Talking Data Science
Miller Bolo
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Nov 1, 2023
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That was pure statistics (data science). I got lost somewhere in the middle. However, this is a rich and informative content that can help a lot of marketers,
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Written by Miller Bolo972 Followers
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| Digital Marketer| Startup Enthusiast| Social Media Manager | I help brands grow their online presence through digital marketing.
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