1.4 Graphs for Quantitative Data Chapter 1 (Page 17)

Quantitative variables – measure an amount or quantity on each experimental unit. Discrete variable – can take finite or countable number of values. Continuous variable – assume an infinite number of values. Pie Chart – displays how the total quantity is distributed among the categories. Bar Chart – uses the height of the bar to display the amount in a particular category.

(Page 18) Take up:Example 1.5 Figure 1.6 Figure 1.7 Both graphs show that the largest amounts of money were spent on personnel and operations. You are free to rearrange the bars or sectors of the graphs in any way you like.

(Page 19) Line Chart – is used when a quantitative variable is recorded over time at variable is recorded over time at equally spaced intervals which is equally spaced intervals which is called time-series. called time-series. It shows a pattern or trend that will likely to continue in the future.

(Page 19) Take up:Example 1.6 Table 1.6 Figure 1.8

(Page 20) Stem and Leaf Plots – presents a graphical display of the data suing the actual numerical values of each data point. How to Construct a Stem and Leaf Plot 1. Divide each measurement into two parts: the stem and the leaf. 2. List the stem in a column, with a vertical line to their right. 3. For each measurement, record the leaf portion in the same row as its corresponding stem. 4. Order the leaves from lowest to highest in each stem. 5. Provide a key to your stem and leaf coding so that the reader can re-create the actual measurements if necessary.

(Page 20 – 22) Take up:Example 1.7 Table 1.7 Figure 1.10 Example 1.8 Figure 1.11

(Page 30) Answer Exercises: 1.20, 1.23, 1.27