MEDRADSC 3X03 Lecture Notes - Lecture 16: Categorical Variable, Frequency Distribution, Vertical Bar

• School: McMaster University
• Department: Medical Radiation Sciences
• Course: MEDRADSC 3X03
• Professor: Deana Moscu

Document Summary

Highlight the most important facts facilitate understanding of the data. Complements or demonstrates arguments presented in the text. Shows data without altering the message of the data. Clearly shows any trends or differences in the data. Types of graphs: pictographs, tally charts, bar graphs, histograms; There are too few data (one, two or three data points) Ask yourself the following questions to help you understand more about your audience and what their needs are: Ask yourself the following questions to figure out what your message is and why it is important: Experiment with different types of graphs and select the most appropriate. Horizontal bar graph (comparison of items and relationships, time series); Vertical bar graph (comparison of items and relationships, time series, frequency distribution); Line graph (time series and frequency distribution); The greater their length or height, the greater their value; Present categorical and numeric variables grouped in class intervals; Make bars and columns wider than the space between them;