ONE of the following can be classified as Discrete and Quantitative data.
The acceleration of your car as you drive to school.
The different colors of the eyes of your classmates.
The number of students in your school.
The height of all the people in your neighborhood.
http://pages.csam.montclair.edu/~mcdougal/SCP/D_types.htm
What do you think?
the height of people in the neighborhood
Right.
To determine which of the options can be classified as discrete and quantitative data, we need to understand the characteristics of each type of data.
Discrete data is data that can only take on specific values and cannot be measured on a continuous scale. It consists of distinct, separate, and countable values.
Quantitative data is numerical data that can be measured and expressed as quantities. It involves a numerical scale that represents a specific quantity or magnitude.
Now, let's analyze each option:
1. The acceleration of your car as you drive to school: This data is continuous and can be measured on a continuous scale. Acceleration can take on any value within a range, making it a continuous and quantitative data.
2. The different colors of the eyes of your classmates: This data is categorical, as it represents different categories or classifications (eye colors). It is distinct and separate, but not quantitative. Therefore, it is not discrete and quantitative data.
3. The number of students in your school: This data is countable and represents a specific quantity. It is discrete and can only take on whole number values, making it both discrete and quantitative data.
4. The height of all the people in your neighborhood: This data is continuous, as height can take on any value within a range. It can be measured on a continuous scale, so it is not discrete. However, it is quantitative because it represents a numerical value.
Based on the explanations above, the number of students in your school is the only option that can be classified as both discrete and quantitative data.