Quantitative continuous data

Definition

Quantitative continuous data consists of numerical values that can take any value within a given range, including fractions and decimals. These values are often measurements of physical quantities like height, weight, or time.

5 Must Know Facts For Your Next Test

1. Quantitative continuous data can take on infinitely many values within a specified range.
2. Common examples include measurements such as temperature, length, and time.
3. This type of data is typically represented using histograms or box plots in graphical form.
4. Statistical analysis often involves measures like mean, median, standard deviation, and variance.
5. Continuous data requires precise measurement tools to capture the true value accurately.

Review Questions

Related terms

Quantitative Discrete Data: Quantitative discrete data consists of numerical values that can only take specific, distinct values often resulting from counts (e.g., number of students in a class).

Histogram:

A histogram is a graphical representation used to display the distribution of a dataset by dividing it into bins or intervals.

Box Plot:

A box plot is a standardized way of displaying the distribution of data based on five summary statistics: minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum.