Measure A must be a nominal measure with 3 categories containing a total of at least 10 observations (data points). At least one of the categories must require an operational definition. So you need...

Measure A must be a nominal measure with 3 categories containing a total of at least 10 observations (data points). At least one of the categories must require an operational definition. So you need to 1) choose a measure, 2) define your categories, 3) count the number of items in each category, 4) record this information.

You could use articles of clothing (what is the operational definition of a sweater?), items in your pantry (herbs, spices, seasonings - operationally define at least one of those), kitchen items, grooming items/products. The objective of this part of the exercise is to engage your thinking with the process of clearly defining categories. Remember: you need to make sure that the definitions prevent any item from fitting into more than one category. I've provided basic tables for reporting the raw data, but you'll be using this data for next week's exercise in data presentation by tables and graphs.

Measure B is just your heart rate measured 10 times. Count the beats for 30 seconds and multiply that count by 2. Space the readings out over a couple of days and at different times of day. This should be enough to give you some variety in the reading.