Frequency distribution histograms for the rapid analysis of data

The mean and standard error are good representations for the response of a population to an experimental parameter and are frequently used for this purpose. Frequency distribution histograms show, in addition, responses of individuals in the population. Both the statistics and a visual display of th...

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Veröffentlicht in:	Plant physiology (Bethesda) 1988-08, Vol.87 (4), p.797-798
Hauptverfasser:	Burke, P.V, Bullen, B.L, Poff, K.L
Format:	Artikel
Sprache:	eng
Schlagworte:	551000 - Physiological Systems 990200 - Mathematics & Computers ANALISIS DE DATOS ANALYSE DE DONNEES ARABIDOPSIS THALIANA BASIC BIOLOGICAL SCIENCES Biological and medical sciences Biometry - methods Communications COMPUTER CODES CRUCIFERAE DATA DATA ANALYSIS Data Display Data Interpretation, Statistical Electronic Data Processing - methods Environmental and Stress Physiology Frequency distribution Fundamental and applied biological sciences. Psychology Gaussian distributions GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE General aspects, methods GRAVIPERCEPTION Histograms INFORMATION Life Sciences (General) MATHEMATICAL MODELS Normal Distribution NUMERICAL DATA Personal computers PHYSIOLOGY Plant physiology and development PLANTS Population distributions Population estimates Population mean RECOMMENDATIONS Space life sciences Standard deviation Standard error THEORETICAL DATA TROPISME TROPISMO TROPISMS
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Beschreibung
Zusammenfassung:	The mean and standard error are good representations for the response of a population to an experimental parameter and are frequently used for this purpose. Frequency distribution histograms show, in addition, responses of individuals in the population. Both the statistics and a visual display of the distribution of the responses can be obtained easily using a microcomputer and available programs. The type of distribution shown by the histogram may suggest different mechanisms to be tested.
ISSN:	0032-0889 1532-2548
DOI:	10.1104/pp.87.4.797