Discrete data refers to countable, distinct values that cannot be subdivided meaningfully. These values are often whole numbers representing items that can be counted individually.

Option A:The number of employees at a company

Rationale:This represents discrete data because employees can be counted as individual units. You cannot have a fraction of an employee; thus, the data is countable and discrete.

Option B:The amount of rain that falls in a storm

Rationale:This represents continuous data, as rainfall can be measured in infinitely fine increments (e.g., millimeters, inches). The amount can take any value within a range.

Option C:The temperature at a weather station

Rationale:Temperature is continuous data because it can vary smoothly over a range and can be measured with fine precision (e.g., degrees Celsius or Fahrenheit).

Option D:The power consumption in a building

Rationale:Power consumption is continuous data, as it can be measured in units that allow for fractional values (e.g., kilowatt-hours) and can vary continuously over time.