Results 241 to 250 of about 3,372,497 (294)

Statistics and Society. Data Collection and Interpretation.

Journal of the Royal Statistical Society. Series A (General), 1974
Revised and updated (first edition, 1972) textbook for an introductory undergraduate course for non-mathematics majors illustrates how statistics and society interact, as well as statistics' relationship to mathematics and computer science.
D. Holt, Walter T. Federer
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Statistics in the interpretation of geochemical data [PDF]

New Zealand Journal of Geology and Geophysics, 1967
Abstract A statistical method of determining the threshold concentration in geochemical exploration is described. Examples are presented of its use in prospecting surveys at Parakao, Northland; Shotover River, Moke Creek, and Waitahuna, Otago; and the Longwood Range, Southland.
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A Statistical Interpretive Method for Neuropsychological Test Data

Neuropsychology Review, 2001
The accurate interpretation of large numbers of neuropsychological tests within a flexible battery approach is a difficult and sometimes controversial process. We present a statistically based method of interpretation (Rohling's Interpretive Method or RIM) and evaluation of neuropsychological data that allows for varying numbers of tests along a ...
Martin L. Rohling, Miller Ls
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STATISTICAL MODELS FOR INTERPRETING AEROMAGNETIC DATA

GEOPHYSICS, 1970
A mathematical basis for the application of power spectrum analysis to aeromagnetic map interpretation is developed. An ensemble of blocks of varying depth, width, thickness, and magnetization is considered as a statistical model. With the use of the fundamental postulate of statistical mechanics, a formula which can be used to analyze the power ...
A. Spector, F. S. Grant
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Interpreting Statistical Data

The American Journal of Nursing, 1959
STATISTICS, in its broader sense, refers to a body of methods for obtaining, organizing, and analyzing numerical facts. We should keep in mind that the application of statistical methods is not a sterile exercise. We collect and organize figures for a specific purpose. Generally, we are seeking answers to questions.
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Statistical Interpretation of Pollution Data from Satellites

Journal of Spacecraft and Rockets, 1974
The NIMBUS-G environmental monitoring satellite has an instrument (a gas correlation spectrometer) onboard for measuring the mass of a given pollutant within a gas volume. The present paper treats the problem: How can this type measurement be used to estimate the distribution of pollutant levels in a metropolitan area.
G. L. Smith, R. N. Green, G. R. Young
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Statistical interpretation of data in experimental tuberculosis

Tubercle, 1936
Summary (1) A detailed description is given of a simple statistical method for testing the significance of the difference between the means of small samples. (2) Errors of random sampling partly or wholly invalidate some of the conclusions drawn from data in experimental tuberculosis.
A.K. Krause, William N. Berg
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Statistical considerations in the interpretation of negative carcinogenicity data

Regulatory Toxicology and Pharmacology, 1989
The regulation of toxic substances present in the environment requires that carcinogens be distinguished from noncarcinogens on the strength of the available toxicological and epidemiological evidence for carcinogenicity. In this article, we consider the difficulties associated with establishing strong evidence against carcinogenicity.
D. Murdoch, M.J. Goddard, Daniel Krewski
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Statistical Interpretation of Toxicity Data

1987
Many of the topics discussed in this chapter pertain to experimental data in general, but the context of their use and examples given are in the field of toxicology. The discussion focuses on the statistical interpretation of data rather than on the statistical procedures used in the data analysis.
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Simplified Methods for Statistical Interpretation of Monitoring Data

Journal of the Air Pollution Control Association, 1972
Statistical techniques are useful for interpretation of monitoring data for pollutants, process variables, etc. Simplified nomographical methods are presented for relating numbers of samples to confidence intervals for their mean values, and for determining the proportion of the population exceeding a specified concentration and confidence intervals ...
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