STAT151 Lecture Notes - Lecture 4: Bar Chart

• School: University of Alberta
• Department: Statistics
• Course: STAT151
• Professor: John Fedoruk

Document Summary

Idea: you can never get close enough to a value; there is always some number. Depending on the number of observations, we may want to group values with similar values. Each interval in limit grouping has a lower & upper limit. Ex2. 3) suppose we collect data for 2 different variables: the number of tvs in a household (1 to 10 tvs) and the combined number of minutes tvs are turned on each day in a household (0-3000 minutes). Group each of these variables into 5 bins, provide the lower and upper cutpoint or limits, as well as the value with which each bin is marked. 5 bins: {1-2},{3-4}, {5-6}, {7-8}, {9-10} discrete numerical data. Difference: (1) for quantitative data and, (2) bars touch. In a histogram, you can"t shuffle the values like you can in a bar chart. Ex2. 4) returning to ex2. 3, suppose 10 households were surveyed.