To determine which option is an example of discrete data, let's first define discrete and continuous data.
Discrete Data: This type of data can take specific and fixed values, often counted in whole numbers. Discrete data is often the result of counting, such as the number of cars, books, or scores on a test.
Continuous Data: This type of data can take any value within a range. Continuous data is the result of measuring, such as time, weight, or temperature.
Now, let's evaluate each option:
Hemoglobin level in blood: This is a continuous variable as it represents measurements that can take any value within a range.
Age in years: Although age in years initially seems discrete because it's often expressed as whole numbers, it is typically considered continuous in statistical contexts as it can be subdivided into fractions (like days or hours).
Temperature in degrees Fahrenheit: This is also a continuous variable, as temperature can take any value within a range and can be measured very precisely.
DMFT total score: This stands for Decayed, Missing, and Filled Teeth score, which is calculated by counting the number of decayed, missing, and filled teeth. It's expressed in whole numbers, thereby making it discrete data.
Given these observations, the correct answer is the DMFT total score, as it is an example of discrete data.