2. Visual representation of data should:  Show the data  Encourage the reader/viewer to think about the substance of the graph, not the design  Avoid distorting what the data has to say When given a large amount of quantitative data, it is most useful to organize it into smaller groups, or classes. One way to do this is to create a Frequency Table

3.  Partitions the information into smaller groups (classes) and shows how many data values are in each  Classes are constructed so that each data value only falls into one group

4.  Class width  determines how the classes are organized  the difference between the lower class limit of one class and the lower class limit of the next class To compute the class width: largest data value — smallest data value desired number of classes then increase the value computed to the next highest whole number

5.  Class limits  lower class limit lowest data value that fits in a class  upper class limit highest data value that fits in a class one less than the lower class limit of the next class  Class frequency  the number of tally marks corresponding to that class  Class midpoint (class mark)  the center of each class; find the average (lower + upper/2)

9. p. 43 – 44 #2 (use 6 classes) and #5 (use 5 classes) Do parts a, b, & c for both