lec04 - STATISTICS 13 Lecture 4 Oct 1, 2010 Graphical...

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STATISTICS 13 Lecture 4 Oct 1, 2010
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Reivew Graphical description of quantitative data – Line chart (for time series) – Bar and Pie charts (for categorized quantitative variables) – Dotplot – (Relative) frequency histogram
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Example: Weights Weights of 200 individuals: 100 men and 100 women Data is Bimodal: two local peaks Why? Histogram of x x Frequency 80 100 120 140 160 180 0 10 20 30 40
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What You Should Learn Being able to draw pie charts, bar charts, line charts, dotplots and histograms for small data sets You are encouraged to learn how to draw graphs of larger data sets with software. Read your textbook for the software minitab . Being able to “read” and interpret the graphs
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Summarize Data with Numerical Measures Graphical measures are good visually, but not sufficient for analysis or summary Numerical measures can be computed for both population and sample – a parameter is a numerical measure computed for a population, which is usually unknown – a statistic is a numerical measure computed for a sample
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This note was uploaded on 10/06/2010 for the course NUT 10 taught by Professor Lizapplegates during the Fall '10 term at UC Merced.

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lec04 - STATISTICS 13 Lecture 4 Oct 1, 2010 Graphical...

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