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Unformatted text preview: Â· putting the mean and standard deviation together (Section 3.6 handout) â€“ The Empirical Rule and Chebyshevâ€™s Inequality. Chapter 4 â€“ Skipped Sections 4.7, 4.8, and 4.9 Â· Four components of a time series (seasonality, trend, cycles, noise). Â· Annual data do not have a seasonal component, only the remaining three. Â· Finding the trend line using annual data (b = â€¦, b 1 = â€¦). Â· b is the intercept and b 1 is the slope. Â· Measuring cyclic activity with annual data (the t t y y Ë† values). Â· Types of seasonal variation (additive vs. multiplicative). Â· Multiplicative seasonality is the usual situation and is assumed in the KPK macros. Example in Section 4.5 (PowerPoint lecture, Chapter 4 â€“ Part 2) Â· Finding the seasonal indexes. Â· Determining the deseasonalized data. Â· Determining all four components with quarterly or monthly data. Â· Section 4.10 Index Numbers (review Laspeyres Index and Paasche index)...
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This note was uploaded on 01/13/2012 for the course DCSI 3710 taught by Professor Pavur during the Fall '11 term at North Texas.
- Fall '11