Data set from the Statistical Reference Datasets.
File Name: numacc4.dat File Format: ASCII Header : lines 1 to 60 (= 60) Certified Values: lines 41 to 43 (= 3) Data : lines 61 to 1061 (= 1001) Dataset Name: Numerical-Accuracy-4 Description: This is a constructed/fabricated data set to test accuracy in summary statistic calculations. The numbers are 9-digit floating point values and differ only in the last decimal place. sample mean = 10000000.2 (exact) sample standard dev. = 0.1 (exact) sample autocorr. coef. = -0.999 (exact) Stat Category: Univariate Reference: Simon, Stephen D. and Lesage, James P. (1989). Assessing the Accuracy of ANOVA Calculations in Statistical Software", Computational Statistics & data Analysis, 8, pp. 325-332. Data: Constructed 1 Response : y 0 Predictors 1001 Observations Model: Higher Level of Difficulty 2 Parameters : mu, sigma 1 Response Variable : y 0 Predictor Variables y = mu + e Certified Values Sample Mean ybar: 10000000.2 (exact) Sample Standard Deviation (denom. = n-1) s: 0.1 (exact) Sample Autocorrelation Coefficient (lag 1) r(1): -0.999 (exact) Number of Observations: 1001 Data: Y -------------- 10000000.2 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3 10000000.1 10000000.3