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This recap covers the concepts of individuals, variables, categorical and quantitative variables, distributions, skewness, measures of center and spread, graphical procedures, and measures of dispersion. Homework exercises are also provided.
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Math 341 January 24, 2007
Recap • Individuals – are the objects described by a set of data. Individuals may be people, but they may also be animals or things. • Variable – a characteristic of an individual. A variable can take different values for different individuals. • Categorical variable – places an individual into one of several groups or categories. {Gender, Blood Type} • Quantitative variable – takes numerical values for which arithmetic operations such as adding and averaging make sense. {Height, Income, Time, etc.}
Quantitative Variables • Discrete Variables – There is a gap between possible values. • Counts (no. of days, no. of people, etc.) • Age in years • Continuous Variables – Variables that can take on values in an interval. • Survival time, amount of rain in a month, distance, etc.
Distribution - The distribution of a variable tells us what values it takes and how often it takes these values • Categorical Data • Table or Bar Chart • Quantitative Data • Frequency Table • Histogram • Stem-and-leaf plot
Describing a distribution • Skewness • Symmetric • Skewed to the right (positively skewed) • Skewed to the left (negatively skewed) • Center/Spread • No of peaks (modes) • Unimodal, Bimodal, Multimodal. • Outliers • Extreme values.
Graphical Procedures • Categorical Data • Bar Chart • Pie Chart • Quantitative Data • Histogram • Stem-and-leaf plot (stemplot) • Time Plot (Time Series Data) A time plot of a variable plots each observation against the time at which it was measured. • Consider example 1.7 on page 14.
Section 1.3 • Measures of Center • Mean (Average) {2.5, 3.2, 3.2, 3.4, 3.6, 3.7, 3.9, 3.9, 4, 4.2, 4.2} - sensitive to outliers. • Median – middle value • Mode – most frequent occurring value.
Homework Exercises: Sec 1: 4, 7, 8, 9. (pp. 10-11) Sec 2: 10, 11, 15, 18, 20, 25*, 29. (pp.23-28) Sec 3: 34, 36, 41, 42. (pp.34-36)
Section 1.4 • Consider 3 samples • {1,2,5,5,8,9} • {3,4,5,5,6,7} • {5,5,5,5,5,5} • Measures of Dispersion (Spread) • Range • Variance • Standard Deviation • Five-number summary