Contents
This sample demonstrates the use of the Spotfire Streaming Single Sample T-test operator.
The provided StreamBase module uses the randomly generated data set including columns Var1 and Var2. Var1 is generated with uniform distribution ranging from 0 to 100 with mean value = 50. Var2 is generated with uniform distribution ranging from 0 to 60 with mean value = 30. Data is fed into the Matrix operator to be collected and emitted every 50 rows.
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In StreamBase Studio, import this sample with the following steps:
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                           From the top-level menu, click >. 
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                           In the search field, type singlesamplettestto narrow the list of options.
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                           Select Single Sample T-test operator from the Streaming Datascience Operators category. 
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                           Click . 
StreamBase Studio creates a single project containing the sample files.
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                           In the Project Explorer view, expand the sample_datascience_singlesamplettestproject and double-click to open theSingleSampleTTest.sbappapplication.
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                           Click the Run button. This opens the SB Test/Debug perspective and starts the application. 
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                           Click on the Feed Simulations tab, click the singlesamplettest.sbfs, then click the Run button to start feeding the data.
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                           The Single Sample T-test operator starts taking data from the feed simulation and emitting the results after 50 rows collected. 
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                           When done, press F9 or click the Stop Running Application button. 

