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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 Data

2000
It is commonplace to observe that repeated measurements of what seems to be the same object or phenomenon do not produce identical results. Measurement variation arises from a number of sources, but one root cause is often the finite precision of the measuring tool. If a simple yardstick is used to measure carpet, we expect to obtain a result no better
John C. Russ, Robert T. Dehoff
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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. SMITH, R. GREEN, G. YOUNG
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Interpretation of research data: Selected statistical procedures

American Journal of Health-System Pharmacy, 1980
Selected statistical procedures used in the analysis of research data are presented. The relationship of significance testing to research hypotheses is explained in terms of tests of differences and correlation. Also, the differences, assumptions, and advantages and disadvantages of parametric and nonparametric statistics are discussed.
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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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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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