When dealing with body temperature, especially in Fahrenheit, the appropriate data type to use is a floating-point number (float). Here’s why:
Measurement Precision:
Body temperature can have decimal values, such as 98.6°F.
Integer data types (like B. Integer) cannot represent fractional values.
Floats allow for greater precision and can handle decimal places.
Temperature Scales:
Fahrenheit is a continuous scale, not a discrete set of values.
It includes both positive and negative values (e.g., sub-zero temperatures).
Floats accommodate this range effectively.
Examples:
A person’s body temperature might be 98.6°F (normal) or 101.3°F (fever).
These values require a data type that can handle fractions.
[References:, The normal body temperature varies across different measurement sites (e.g., rectal, tympanic, oral, axillary) but falls within a range. For example:, Rectal: 36.32–37.76°C (97.38–99.97°F), Tympanic: 35.76–37.52°C (96.37–99.54°F), Axillary: 35.01–36.93°C (95.02–98.47°F)1, Using a float allows us to represent these variations accurately., Remember that using a float ensures flexibility and precision when dealing with temperature measurements. Therefore, the correct answer is D. Float. ????️, , ]
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