To check that data follows a continuous distribution using the goodness-of-fit procedure you can change the continuous variable into categorical.
In this question we need to describe how would the goodness-of-fit procedure be modified to check that data follows a continuous distribution.
We know that the Chi - square goodness of fit test can be applied to discrete distributions such as binomial, Poisson, etc.
For continuous distributions we can use Kolmogriv - Smirnov test, t-test ( the single-sample, paired t-test, and the two-sample, unpaired t-test)
A goodness-of-fit test is concerned with the question whether a data set may have been generated by a certain distribution.
Therefore, to check that data follows a continuous distribution we need to change the continuous variable into categorical.
Learn more about continuous distribution here:
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