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Levels of measurement refer to the different ways data can be categorized and quantified. There are four primary levels: nominal, ordinal, interval, and ratio. Each level has distinct characteristics, with ratio being the highest, allowing for meaningful comparisons and the presence of a true zero. Understanding these levels is crucial for determining appropriate statistical analyses.

Ratio level data is a type of quantitative data that possesses all the properties of interval data, but also includes a true zero point, which allows for the comparison of absolute magnitudes. In the context of the lengths of Ford automobiles, the measurements in centimeters can be compared meaningfully, and a length of zero centimeters indicates the absence of length, making it a ratio level measurement.

Data interpretation involves analyzing and making sense of collected data to draw conclusions or inform decisions. In this case, interpreting the lengths of the Ford automobiles requires understanding the context of the measurements and recognizing that they represent continuous numerical data, which can be summarized using statistical measures such as mean, median, and range.