Answer :
The type of data collected in this scenario is Quantitative Continuous Data. Here's why:
1. Quantitative data deals with numerical values that can be measured or counted. In this case, the number of heartbeats per minute is a numerical value that can be measured.
2. Continuous data refers to data that can take on any value within a given range. The heartbeats per minute can vary continuously across a range of values, for example, a person's heart rate can be 70 bpm, 71.5 bpm, 72.3 bpm, and so on, without any specific jumps or gaps in between.
3. By collecting the heartbeats per minute of 40 randomly selected people, we are dealing with a continuous range of numerical values that are not limited to specific discrete points but can take on any value within a certain range.
Therefore, the heartbeats per minute of the 40 randomly selected people represent Quantitative Continuous Data because it involves numerical values that can vary continuously across a range without specific gaps or jumps.
1. Quantitative data deals with numerical values that can be measured or counted. In this case, the number of heartbeats per minute is a numerical value that can be measured.
2. Continuous data refers to data that can take on any value within a given range. The heartbeats per minute can vary continuously across a range of values, for example, a person's heart rate can be 70 bpm, 71.5 bpm, 72.3 bpm, and so on, without any specific jumps or gaps in between.
3. By collecting the heartbeats per minute of 40 randomly selected people, we are dealing with a continuous range of numerical values that are not limited to specific discrete points but can take on any value within a certain range.
Therefore, the heartbeats per minute of the 40 randomly selected people represent Quantitative Continuous Data because it involves numerical values that can vary continuously across a range without specific gaps or jumps.
