Exam 1 Review

# Exam 1 Review - Â putting the mean and standard deviation...

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Exam 1 Review Chapter 1 - Skipped Section 1.7 1.4 Definitions (review). 1.5 Discrete (no decimals – counting) vs. continuous (has decimals – measuring) data 1.6 Level of measurement (NOIR). Qualitative Data · Nominal data · Ordinal data Quantitative Data · Interval data · Ratio data Chapter 2 - Skipped Section 2.7 Class Frequency Rel. Freq. · frequency distributions Example: 10 and under 20 6 .06 20 and under 30 12 .12 30 and under 40 22 .22 etc. Graphs for quantitative data · histogram · frequency polygon · stem-and-leaf diagram · ogive Graphs for qualitative data · bar chart · pie chart Chapter 3 Skipped Sections 3.7 and 3.8 Measures for quantitative data · measures of central tendency (mean, median, midrange, mode). · measures of variation (range, variance, standard deviation, CV). · measures of position (percentiles, quartiles, z-scores). · measures of shape [skewness – use Sk = 3(mean – median)/(standard deviation)].

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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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Exam 1 Review - Â putting the mean and standard deviation...

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