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Data type

Data for hypothesis tests can be Quantitative or Qualitative.

Quantitative

Quantitative data has quantity or can be expressed in a range of magnitudes. Examples: temperature, pressure, humidity, length, weight, and volume.

The values between measurements have meaning. For example, the length between 30 meters and 31 meters has meaning and is therefore Quantitative.

Some of the hypothesis tests that analyze quantitative data are t-test, F-test, Mood's Median test, ...

Qualitative

Qualitative data is based on a quality, often pass/fail. Examples include # of tests that pass, # of failures per minute, and # of red cars. Values between measurements have no meaning. For example if a test is either pass or fail, a measurement between pass and fail would have no meaning.

Hypothesis tests supported in Quantum XL that analyze qualitative data are One proportion test, Two proportion test and Chi-Squared test.