CCT226H5 Chapter Notes - Chapter 3: Squared Deviations From The Mean, Multimodal Distribution, Standard Deviation

• School: UTM
• Department: Communication, Culture and Technology
• Course: CCT226H5
• Professor: Lee Bailey

Document Summary

Numerical ways of describing data, called measures of central location and measures of dispersion. The purpose of central location is to pinpoint the centre of a set of values. Average is a measure of location that shows the central value of the data. If we consider only the measures of location in a set of data, or if we compare several sets of data using central values, we may draw an erroneous conclusion. In addition to the measures of location we should consider the dispersion often called the variation or spread in the data. To describe the dispersion we will consider the range, the mean deviation, the variance, and the standard deviation. There are many measures of location, 5 will be discussed: the arithmetic mean, the weighted mean, the median, the mode, and the geometric mean. The arithmetic mean is the most widely used and widely reported measure of location.