The Impact of Outliers on Smaller Data Sets: A Statistical Analysis - Prof. Timothy M. Bea, Study notes of Data Analysis & Statistical Methods

Download The Impact of Outliers on Smaller Data Sets: A Statistical Analysis - Prof. Timothy M. Bea and more Study notes Data Analysis & Statistical Methods in PDF only on Docsity! The Influence of Outliers on Smaller Samples BST 622 (Beasley) A B C D 1 36 36 36 36 A B C D 2 57 45 57 45 Mean 38.01 41.45 45.69 47.88 3 53 42 53 42 Var 146.63 97.78 579.29 401.28 4 21 41 21 41 SD 12.11 9.89 24.07 20.03 5 44 26 44 26 Skew 0.14 0.28 1.05 1.55 6 24 27 24 27 Kurt -0.86 -0.40 1.74 1.83 7 48 42 48 42 8 61 61 61 61 Q3 48.00 45.00 52.50 53.50 9 30 43 30 43 Med 38.00 42.00 40.00 42.00 10 52 42 52 42 Q1 29.00 36.00 31.00 36.00 11 38 42 38 42 SIQR 9.50 4.50 10.75 8.75 12 25 33 25 33 13 40 59 40 59 Pearson 14 45 36 45 36 Corr A B C D 15 38 41 38 41 A 1.000 .484 1.000 .484 16 20 27 20 27 B .484 1.000 .484 1.000 17 22 30 22 30 C 1.000 .484 1.000 .886 18 36 55 36 55 D .484 1.000 .886 1.000 19 48 52 48 52 Spearman 20 32 51 32 51 Corr A B C D 21 29 45 29 45 A 1.000 .448 1.000 .448 22 41 36 41 36 B .448 1.000 .448 1.000 23 . . 100 97 C 1.000 .448 1.000 .622 24 . . 101 95 D .448 1.000 .622 1.000 25 . . 105 93 1.000 .448 1.000 .448 A 0 20 40 60 80 100 120 C 0 20 40 60 80 100 120 23 24 25 The Influence of Outliers on Smaller Samples BST 622 (Beasley) B 20 40 60 80 100 13 8 D 20 40 60 80 100 25 24 23 20 40 60 80 100 B 0 20 40 60 80 100 120 A R Sq Linear = 0.235 20 40 60 80 100 D 0 20 40 60 80 100 120 C R Sq Linear = 0.785