What Type error is
Type error is a type of error that occurs when a statistical test is incorrectly applied to data. It occurs when the data is not of the right type to be used in the test. For example, if a t-test is used on categorical data, a type error will occur.
Steps for avoiding type errors include:
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Identify the type of data: Determine if the data is categorical or numerical, and decide which type of test is most appropriate for the data.
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Check assumptions: Make sure that the assumptions of the test are met, such as normality and independence.
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Use the correct test: Use the appropriate test for the type of data.
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Check results: Check the results of the test to make sure that they make sense. If they don’t, then a type error may have occurred.
Examples
- Dividing an integer by a non-integer, such as 4/2.5, which would cause a type mismatch error.
- Trying to calculate the mean of a string instead of a numerical set of values.
- Using an incorrect order of operations when performing a calculation such as subtracting before adding.
- Attempting to perform a calculation on two values of different types, such as adding a string to a floating point number.