Math

QuestionIs heart rate data qualitative or quantitative? Is it discrete or continuous? What is the highest measurement level: nominal, ordinal, interval, or ratio?

Studdy Solution

STEP 1

Assumptions1. The data collected is the heart beats per minute of40 randomly selected people. . We need to determine the nature of the data - whether it is qualitative or quantitative.
3. We need to determine whether the data is discrete or continuous.
4. We need to determine the highest level of measurement the data possesses.

STEP 2

First, we need to determine whether the data is qualitative or quantitative. Qualitative data is descriptive and involves characteristics that can't be counted. Quantitative data is numerical and involves numbers that can be measured or counted.
In this case, the data is the heart beats per minute of40 randomly selected people, which is a numerical value that can be counted. Therefore, the data is quantitative.

STEP 3

Next, we need to determine whether the data is discrete or continuous. Discrete data can only take particular values whereas continuous data can take any value within a range.
The number of heart beats per minute can only take integer values. Therefore, the data is discrete.

STEP 4

Finally, we need to determine the highest level of measurement the data possesses. There are four levels of measurement nominal, ordinal, interval, and ratio.
The data collected, heart beats per minute, is a ratio level of measurement because it has a clear definition of zero (no heart beats) and the difference between two values is meaningful.
So, the data is quantitative, discrete, and has a ratio level of measurement.

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