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Testing For Normality - Clearly Explained

✉️ Join my newsletter https://steven-bradburn.beehiiv.com/s... In this video, I will provide a clear overview of normality testing data. Testing for normality is an important procedure to determine if your data has been sampled from a normal (Gaussian) distribution. There are two main ways that are commonly used to deduce whether data have been sampled from a normal distribution: analysis of graphs (eg, Q-Q plots and frequency distributions) and performing normality tests (eg, Shapiro-Wilk test). HOW I CREATED THIS TUTORIAL (AFFILIATE LINKS) Laptop https://amzn.to/38bB7JG Microphone https://amzn.to/2OFn1sd Screen recorder & editor https://techsmith.z6rjha.net/BQQkL YouTube SEO https://www.tubebuddy.com/SHTeach Software (Microsoft PowerPoint 365 ProPlus) FOLLOW US Website https://toptipbio.com/ Facebook   / toptipbio   Twitter   / toptipbio   AFFILIATE DISCLAIMER Top Tip Bio is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to www.amazon.com. We will earn a commission from Amazon if a purchase is made through the affiliate links.