Final answer:
Daphne uses a table to compress lots of data on monthly average temperatures and rainfall, offering quick comparison. A time series graph could complement the table by visually representing the temperature changes over time. Graphs and tables both have specific uses and advantages in data presentation.
Step-by-step explanation:
Daphne wants to create a word-processing document that lists each month of the year and the average high temperature, low temperature, and rainfall for each month. She decides to place the information into a table to effectively compress lots of data. When studying the temperature range of a region, data can be collected daily and various statistical methods can be employed, such as computing mean, median temperatures, or constructing histograms. However, these methods might not take the full advantage of the data's chronological order, which can be visually represented and easily comprehended through a time series graph.
In a time series graph, the chronology of data points is preserved showing the progression of temperature changes over the month. This graphical representation offers an intuitive sense of the data trends and variations over time. On the other hand, organizing the data in a table can facilitate different statistical calculations, like daily high temperatures, and allows for a quick overview and comparison of data points, for example, by presenting monthly averages over several years.
Regarding the collection and reporting of data, it can vary in format. For example, quiz scores might be recorded in numbers throughout the term but reported categorically as letter grades A, B, C, D, or F at the end of the term. Similarly, Daphne can use tables to summarize the monthly climate data numerically and may choose to add a graphical representation for a more intuitive understanding of the trends.