What is the interpretation of Q-Q plot? How it is different from a P-P plot?
Both are displays that show how well your data fit a particular distribution. Q-Q plots are more sensitive that P-P plots to lack of fit in the tails of the data, so tend to be more often used, as lack of fit in the tails can signal the presence of some process that is driving the extreme values.
Both are displays that show how well your data fit a particular distribution. Q-Q plots are more sensitive that P-P plots to lack of fit in the tails of the data, so tend to be more often used, as lack of fit in the tails can signal the presence of some process that is driving the extreme values.
Hello
P-P plot and Q-Q plot are another way of identifying data types. In this way, the more dots the line draws, the more the data distribution gets closer to the normal distribution.
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