Continuous

Definition

Continuous data are quantitative data that can take on any value within a given range. These values are often measured and can include fractions or decimals.

5 Must Know Facts For Your Next Test

1. Continuous data can take on an infinite number of values within a given interval.
2. Measurements like height, weight, and temperature are examples of continuous data.
3. Continuous variables are typically represented using histograms or line graphs in statistical analysis.
4. The distinction between continuous and discrete data is crucial for selecting the appropriate statistical tests and graphical representations.
5. In sampling, continuous data often require more sophisticated methods for accurate analysis, such as random sampling techniques to ensure representativeness.

Review Questions

• What distinguishes continuous data from discrete data?
• Give three examples of continuous variables commonly used in business statistics.
• Why is it important to use specific graphical representations for continuous data?

Related terms

Discrete Data: Quantitative data that can only take on specific values and cannot be made more precise; often counted in whole numbers.

Histogram:

A graphical representation of the distribution of numerical data, where the data is divided into bins or intervals.

Random Sampling:

A sampling method where each member of a population has an equal chance of being selected, ensuring that the sample represents the population.