What is the main difference between discrete and continuous data? Discrete data can be counted, while continuous data can be measured Discrete data is always qualitative, while continuous data is quantitative Discrete data has gaps, while continuous data does not Discrete data is always numerical, while continuous data is not
Question
What is the main difference between discrete and continuous data? Discrete data can be counted, while continuous data can be measured Discrete data is always qualitative, while continuous data is quantitative Discrete data has gaps, while continuous data does not Discrete data is always numerical, while continuous data is not
Solution
The main difference between discrete and continuous data is that discrete data can be counted, while continuous data can be measured. Discrete data has gaps or distinct values, while continuous data does not have gaps and can take on any value within a certain range. It's not accurate to say that discrete data is always qualitative or always numerical, as it can be either. Similarly, continuous data can be quantitative, but it's not necessarily always so.
Similar Questions
Which of the following best describes discrete data?*2 pointsA. Data that can take any real number value within a given range.B. Data that can only take on specific, distinct values with no intermediate values.C. Data that is continuous and unbounded.D. Data that can be measured with high precision.
continuous data used discretely
What is the main difference between qualitative and quantitative data?Group of answer choicesQualitative data is objective, while quantitative data is subjective.Qualitative data is collected through surveys, while quantitative data is collected through experiments.Qualitative data is descriptive, while quantitative data is measured using numbers.Qualitative data is measured using numbers, while quantitative data is descriptive.
Which of the following is an example of continuous data?*2 pointsA. Number of cars in a parking lotB. Number of books on a shelfC. Temperature in degrees CelsiusD. Number of computers in a lab
A discrete quantitative variable is one that can assume values only at specific points on an interval of values, with inevitable gaps between them.
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