Results 211 to 220 of about 3,166,032 (228)

Multivariate statistical interpretation of coastal sediment monitoring data

Fresenius' Journal of Analytical Chemistry, 2001
Multivariate statistical analysis of sediment data (input matrix 122 x 15) collected from 122 sampling sites from the western coastline of the USA and analyzed for 15 analytes indicates that the data structure could be explained by four latent factors. These factors are conditionally named "anthropogenic", "organic", "natural", and "hot spots".
Ivana Stanimirova, Stefan Tsakovski, Vasil Simeonov   +2 more
openaire   +3 more sources

Is statistical significance testing useful in interpreting data?

Reproductive Toxicology, 1993
Although P values and statistical significance testing have become entrenched in the practice of biomedical research, their usefulness and drawbacks should be reconsidered, particularly in observational epidemiology. The central role for the null hypothesis, assuming an infinite number of replications, and the dichotomization of results as positive or ...
openaire   +2 more sources

Statistics and Society: Data Collection and Interpretation

International Statistical Review / Revue Internationale de Statistique, 1975
D. J. Finney, Walter T. Federer
openaire   +2 more sources

Clinical data and statistical interpretation [PDF]

BMJ, 1969
openaire   +1 more source

Interpreting Data: A First Course in Statistics.

Biometrics, 1990
A. J. B. Anderson, S. Loukas
openaire   +2 more sources

Data Reduction: Analysing and Interpreting Statistical Data. [PDF]

Journal of the Royal Statistical Society. Series A (General), 1976
W. A. P. Pridmore, A. S. C. Ehrenberg
openaire   +1 more source

Statistical Interpretation of Data

2012
Charles E. McCulloch, Thomas B. Newman
openaire   +2 more sources

Data Reduction. Analysing and Interpreting Statistical Data

Technometrics, 1977
Terry G. Vavra, Andrew Ehrenberg
openaire   +4 more sources

Statistics and Society: Data Collection and Interpretation.

The Statistician, 1976
Walter T. Federer, D. A. Preece
openaire   +1 more source

Data: presentation, interpretation, and basic statistics

This chapter explores the graphical presentation of data and how such graphs are used to mathematically represent the data. Although linear relationships are easy to represent with straight-line plots, not all data will fit such plots. It outlines methods to plot data forming a straight line, which are applied to considering the stability of medicines.
Chris Langley, Yvonne Perrie
openaire   +1 more source