The type of data, categorical or measurement is not an important consideration when selecting a statistical procedure.

Question

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The type of data (categorical or measurement) is an important consideration when selecting a statistical procedure. Different statistical procedures are designed to handle different types of data. For example, a chi-squared test is appropriate for categorical data, while a t-test is appropriate for numerical data. Choosing the wrong statistical procedure based on the type of data could lead to inaccurate results.

The Type of Data, Categorical or Measurement Is Not an Important