When constructing histograms, the statistical software being used will commonly determine how the graph looks. In Example 3.2, histograms were developed to summarize diversion rates in New York City (Figure 3.6). The required steps and output to get a histogram summarizing the same data using Minitab can be found in Figure 3.24. Why does the resulting histogram have a different shape than the ones seen in Figure 3.6?

Example 3.2

Figure 3.6 presents a histogram of 2018 recycling diversion rates (total recycling / total waste × 100) for several New York City zones8 in terms of frequencies (left) and relative frequencies (right).

Transcribed Image Text:

Frequency 150 100- 50- Relative frequency 0.25- 0.20 0.15 0.10 0.05 0.00 T 40 50 60 70 80 90 40 50 60 70 80 90 Figure 3.6 Frequency histogram (left) and relative frequency histogram (right) for recycling diversion rate data in New York City for 2018 fiscal year.