Point out the wrong statement.

The correct answer is: A. Variables with character values should be made less descriptive.

Variables with character values should usually be made into factor variables. This is because factor variables are more efficient to store and process than character variables. Additionally, factor variables can be used to perform more sophisticated analyses than character variables.

Common variables are used to apply transforms. This is because common variables are variables that are shared by multiple data sets. By applying a transform to a common variable, the transform can be applied to all of the data sets that share the variable.

Here is a more detailed explanation of each option:

• Option A: Variables with character values should be made less descriptive. This is incorrect because variables with character values should usually be made into factor variables. Factor variables are more efficient to store and process than character variables. Additionally, factor variables can be used to perform more sophisticated analyses than character variables.
• Option B: Variables with character values should usually be made into factor variables. This is correct because factor variables are more efficient to store and process than character variables. Additionally, factor variables can be used to perform more sophisticated analyses than character variables.
• Option C: Common variables are used to apply transforms. This is correct because common variables are variables that are shared by multiple data sets. By applying a transform to a common variable, the transform can be applied to all of the data sets that share the variable.
• Option D: All of the mentioned. This is incorrect because only option A is incorrect.