1. Categorization of the perceived learning variable into a new variable called “perceived” so that students who rated their learning 9 and below are classified as low and those who rated their learning 10 and above are classified as high.

1. Categorization of the perceived learning variable into a new variable called “perceived” so that students who rated their learning 9 and below are classified as low and those who rated their learning 10 and above are classified as high. (Adjust the properties so that the data set displays low or high depending upon the assigned numerical value.)
2. The creation of a new variables named “z learn” transformed into z scores.

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