Course Highlights Exam 1 Fall 2008

Course Highlights Exam 1 Fall 2008 - Some highlights of the...

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Some highlights of the first part of the course: mutually exclusive categories collectively exhaustive categories types of variables: Independent vs. Dependent types of relationships between variables: linear vs. non-linear, positive vs. negative classification schemes for variables: Qualitative vs. Quantitative, Discrete vs. Continuous, NOIR (level of measurement) measures of central tendency: mode, median, mean weighted means advantages and disadvantages of mode, median, and mean outliers and their effect on the mode, median, and mean percentiles and how to find them measures of variation: range, IQR, average deviation, average absolute deviation, variance, std deviation – how to compute them and how to interpret them coefficient of variation: why and when do we use it? how to compute measures of dispersion for raw data and data presented in a frequency distribution making computations when working with a grouped frequency distribution (0-9,
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This note was uploaded on 11/03/2008 for the course MA 12 taught by Professor Margalat during the Fall '08 term at Tufts.

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Course Highlights Exam 1 Fall 2008 - Some highlights of the...

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