Goodness-of-fit (Distribution Identification)

 Original: English

Label Here you can identify a type of probability distribution that suits properly your data. This is called 'Goodness of Fit Test'. The available version of the test is applicable for continuous variables. Typical applications are:

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You measured the transaction time of your process and now, starting your statistical analysis, you want to know which distribution better fits your set of observations.
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As a supervisor of an administrative process, you have developed a different method to perform a task. Now you wish to confirm statistically if the average time of the new method is better. Prior to that, is your data Normal?
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You measured the interarrival time at a supermarket cashier. Now you wish to know which probability distribution better fits your data and which are the parameters of such distribution.

Label Just follow the steps below. You can hover over the options for additional information.

Step 1) Paste your sample data in the text box.

(up to 2000 numbers separated by at least one space)

Ex: 113.47 86.62 91.99 86.56 111.51 84.44 78.73 111.06 91.53 107.23

 Step 2) I'd like to have 90% 95% 99% confidence level in this statistical test.

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