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SOAN 3120 (35)
Lecture

# Lecture: September 17

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School
University of Guelph
Department
Sociology and Anthropology
Course
SOAN 3120
Professor
Michelle Dumas
Semester
Fall

Description
SOAN 3120: Quantitative Methods        Tuesday, September 17, 2013 Week two: The Normal Distribution  Exploring Quantitative Data  • Plot your data­ make a graph  • Pattern: departures­ outliers, what do they tell us, are they important, was it a  mistake? • Calculate: shape, centre and spread • Large numbers­  Density curves • Histogram­ the height of the bars usually tells us the number or percentage  • Alternative: scale (area)  Total area = 1.0  Proportion  ­ EX: 42/193= .218 ­ Density: .218/10 = 0.0218 Density curve • Quantitative continuous data • Narrow  • The more data you collect the better it is to look at the whole distribution and  better represent your population  Density curves • Properties: • 1) Area =1.0 • 2) Proportion laying between any two values and will always be under 1  • 3) Horizontal axis­ density curve never goes below the horizontal line Density curves • Definition: mean: average of many averages, median and standard deviation  • Median • Mean: balancing point of your density curv, the mean of a density curve is muee  (mi­you) • X bar and mue  Standard deviation ­ average distance to the mean  Normal distributions • Theoretical construct ­ Gaussian distribution • Infe
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