Final answer:
The statement is true; histograms use one measurement variable, while a time series plot uses two, including time. Histograms display frequency distribution, whereas time series show how a variable changes over time, revealing trends and patterns.
Step-by-step explanation:
The statement that a histogram displays one measurement variable, but a time series plot displays data with two measurement variables, with time being one of them, is True. A histogram is used to represent the frequency distribution of a single quantitative variable, where bars of equal width correspond to intervals of the variable, and their height represents the frequency of values within each interval. It is good for visualizing the distribution of large data sets. On the other hand, a time series graph illustrates how a single variable changes over time and requires two variables: the time intervals (usually plotted on the x-axis) and the corresponding values of the variable being measured (plotted on the y-axis).
Time series graphs are particularly effective for showing patterns and trends over time, hence why they are commonly used in various fields, including science and economics. For instance, they can graphically display how the unemployment rate has changed over several years or how a physical quantity, such as distance, changes as time progresses.