key term - Continuous

Definition

Continuous data can take any value within a given range and is measurable. It contrasts with discrete data, which can only take specific values.

5 Must Know Facts For Your Next Test

1. Continuous data often involves measurements like height, weight, or time.
2. It can be represented on a number line and can take any value within a range.
3. In statistics, continuous variables are typically analyzed using techniques such as histograms and density plots.
4. Examples include temperature readings, lengths of objects, and times to complete a task.
5. The distinction between continuous and discrete data is crucial in determining the appropriate statistical methods for analysis.

Review Questions

Related terms

Discrete Data:

Data that can only take specific values and cannot be made more precise. Examples include the number of students in a class or the result of rolling a die.

Histogram:

A graphical representation used to visualize the distribution of a dataset by showing the frequency of different ranges of continuous data.

Density Plot: A smoothed version of a histogram that estimates the probability density function of continuous data.