Exam 1 Review

Exam 1 Review - 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: · putting the mean and standard deviation together (Section 3.6 handout) – The Empirical Rule and Chebyshev’s Inequality. Chapter 4 – Skipped Sections 4.7, 4.8, and 4.9 · Four components of a time series (seasonality, trend, cycles, noise). · Annual data do not have a seasonal component, only the remaining three. · Finding the trend line using annual data (b = …, b 1 = …). · b is the intercept and b 1 is the slope. · Measuring cyclic activity with annual data (the t t y y ˆ values). · Types of seasonal variation (additive vs. multiplicative). · Multiplicative seasonality is the usual situation and is assumed in the KPK macros. Example in Section 4.5 (PowerPoint lecture, Chapter 4 – Part 2) · Finding the seasonal indexes. · Determining the deseasonalized data. · Determining all four components with quarterly or monthly data. · Section 4.10 Index Numbers (review Laspeyres Index and Paasche index)...
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Exam 1 Review - putting the mean and standard deviation...

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