Tools › Statistics › Descriptive and Outliers › Data Summary and Outliers › Example
Grubbs 1950: residuals of the semi-diameter of Venus (NIST 1.3.5.17.2)
| Tool | Data Summary and Outliers |
| Source | Grubbs, F. E. (1950). "Sample Criteria for Testing Outlying Observations." Annals of Mathematical Statistics, Vol. 21, No. 1, pp. 27–58. Venus data, as reproduced in NIST/SEMATECH e-Handbook Section 1.3.5.17.2. |
| Level | Undergraduate |
Problem
Fifteen residuals of Lieutenant Herndon's observations of the semi-diameter of Venus are −1.40, −0.44, −0.30, −0.24, −0.22, −0.13, −0.05, 0.06, 0.10, 0.18, 0.20, 0.39, 0.48, 0.63 and 1.01. Is the value −1.40 an outlier at the 5 % level?
Inputs to Enter
- One column of the fifteen residuals; outlier level α = 0.05
Answers
- Grubbs G = 2.5737 at −1.40 against the two-sided 5 % critical value 2.5483: −1.40 is flagged
- Tukey inner fence −1.0175 with one value outside; generalized ESD finds 1 outlier
Notes
Paste the fifteen values in place of the default columns.
More Examples for This Tool
- NIST e-Handbook 1.4.2.8.3: heat flow meter calibration data (ZARR13), summary and tests
- NIST e-Handbook 1.3.5.17.1: Grubbs' test on the Tietjen–Moore uranium data
- NIST e-Handbook 1.3.5.17.3: Rosner's generalized ESD test on 54 values
- Shapiro and Wilk 1965: W test on the weights of eleven men
- Anscombe 1973: the quartet, four data sets with the same summary statistics