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esources ort Services tions/Assistance Accessibility ore > Moving to another question will save this response. Question 8 of 170 Question 8 3 points Saved In statistics analysis, one important assumption people always make is normality. Which of the followings about normality is NOT true? O People make assumption of normality since many but not all continuous distributions are normal. There are may different ways to evaluate normality such as constructing a Quanie-Quantile (Qa) normal probabily plot In real-ife, majority of the phenomena should follow normal distribution, it may not be necessary to worry about its normality O Normality can also be evaluated by observing th e distributio n of the data set by constructing charts and graphs and compute descriptive measures. Moving to another question will save this response

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Solution:- In real life, majority of the phenomenon should follow normal distribution, it may not be neccesary to worry about its normality.

Variable that is expected to follow normal distribution should essentially be continuous in nature.

Normal distribution should not be considered a default distribution. This may lead to incorrect inferences. Usually the experimenter has an idea of what kind of data they are measuring and what distribution is the data likely to follow. If you are unsure of the underlying distribution then you not go for normal distribution.

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