MKT 300 Lecture 23: MKT 300 Lecture 23
Document Summary
The first step in any analysis is summarising and presenting the data in such a way that key features of the data can be identified. Two useful techniques for exploratory data analysis are graphical presentation and numerical summaries of data. Continuous data are usually present as histograms and categorical data as bar charts or pie graphs: frequency distribution: Raw data data that have not been summarised in any way ungrouped data. Frequency distribution a summary of the data presented as non-overlapping class intervals covering the entire range of data and their corresponding frequencies grouped data. The range the difference between the largest and smallest data values. Decide how many class intervals to use will determine the shape of the frequency distribution. Too many class intervals will fragment the data too much and produce a distribution with too many gaps, while too few class intervals will hide any structure in the data. Decide the width of each class interval.
