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Levels of measurement refer to the different ways data can be categorized and quantified. The four primary levels are nominal, ordinal, interval, and ratio. Each level has specific characteristics that determine how data can be analyzed and interpreted. Understanding these levels is crucial for selecting appropriate statistical methods and accurately interpreting results.

Bar graphs are visual representations of categorical data, where each category is represented by a bar whose length corresponds to the value it represents. In this case, the horizontal axis represents years, while the vertical axis shows the number of fatalities in thousands. Bar graphs are useful for comparing quantities across different categories and can help identify trends over time.

Descriptive statistics summarize and describe the main features of a dataset. This includes measures such as mean, median, mode, and range, which provide insights into the central tendency and variability of the data. In the context of the bar graph, descriptive statistics can help analyze trends in motor vehicle fatalities over the years, allowing for a clearer understanding of the data presented.