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Why is it important to test heteroskedasticity in a dataset?

By Riya Jain and Priya Chetty on March 23, 2020 2 Comments

Heteroskedasticity refers to the state of systematic changes in the spread of residuals or the error term of the model. The presence of heteroskedasticity leads to violation of the assumption of the ordinary least square.

 research methodology, research reliability

How to test normality statistically?

By Riya Jain and Priya Chetty on March 16, 2020 No Comments

Data scientists strictly prefer to test normality and work on normally distributed data because of its benefits.

 research methodology, research reliability

How to graphically test normality?

By Priya Chetty and Riya Jain on March 12, 2020 No Comments

Normality test identifies the nature of the distribution of data of a given variable. Normal distribution of data refers to the closeness of every observation in a dataset to its mean score.

 research methodology, research reliability
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