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Ratio Statistics: Descriptive Statistics for the Ratio of Two Variables, Study notes of Mathematical Statistics

An overview of the ratio statistics procedure in spss, which calculates descriptive statistics for the ratio of two variables. Notations, data requirements, and various statistics such as minimum, maximum, range, median, average absolute deviation, coefficient of dispersion, coefficient of concentration, mean, standard deviation, coefficient of variation, weighted mean, and price related differential. It also explains the concept of assessment regressivity and progressivity, and provides formulas for confidence intervals for the median and mean.

Typology: Study notes

2011/2012

Uploaded on 10/31/2012

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Download Ratio Statistics: Descriptive Statistics for the Ratio of Two Variables and more Study notes Mathematical Statistics in PDF only on Docsity! 1 Ratio Statistics This procedure provides a variety of descriptive statistics for the ratio of two variables. Notations The following notation is used throughout this chapter unless otherwise stated: n Number of observations Ai Numerator of the I-th ratio (i = 1, …, n). This is usually the appraisal roll value. Si Denominator of the i-th ratio (i = 1, …, n). This is usually the sale price. Ri The i-th ratio (i = 1, …, n). Often called the appraisal ratio. fi Case weight associated with the i-th ratio (i = 1, …, n). Data This procedure requires for i = 1, …, n that: • 0>iA , • 0>iS , • 0>if , and • iw is a whole number. If the SPSS Weight variable contains fractional values, then only the integral parts are used. A case is considered valid if it satisfies all four requirements above. This procedure will use only valid cases in computing the requested statistics. Ratio Statistics Ratio R A S i ni i i = =, , ,1 K Minimum The smallest ratio and is denoted by minR . 2 Maximum The largest ratio and is denoted by maxR . Range The difference between the largest and the smallest ratios. It is equal to minmax RR − . Median The middle number of the sorted ratios if n is odd. The mean (average) of the two middle ratios if the n is even. The median is denoted as R ~ . Average Absolute Deviation (AAD) ∑∑ == −= n i i n i ii fRRfAAD 11 ~ Coefficient of Dispersion (COD) R AAD COD ~%100 ×= Coefficient of Concentration (COC) Given a percentage 100% × g, the coefficient of concentration is the percentage of ratios falling within the interval ( ) ( )[ ]RgRg ~1,~1 +− . The higher this coefficient, the better uniformity. Mean ∑∑ == == n i i n i ii fRfRSA 11 Standard Deviation (SD) ( ) ( )∑= − − = n i ii RRfF s 1 2 1 1 where ∑ = = n i ifF 1 .
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