Statistical Analysis on the Change of Economic Condition in China Under the Influence of COVID-19

2020 ◽  
Author(s):  
JUNXI LIU
Keyword(s):  
Statistical Analysis ◽  
Economic Condition

scholarly journals Study of Socio-Economic Condition and Constraints faced by the Rice Growing Farmers in Adoption of Organic and Bio-Fertilizer in Bilaspur District of Chhattisgarh

2021 ◽  
Vol 8 (7) ◽  
pp. 43-47
Author(s):  
Ayush Emmanuel Lal ◽  
Dr. Syed H. Mazhar ◽  
Jahanara Jahanara
Keyword(s):  
Statistical Analysis ◽  
Economic Condition ◽  
Organic Fertilizer ◽  
Structured Interview ◽  
Poor Quality ◽  
Weighted Mean ◽  
Long Distance ◽  
Interview Schedule ◽  
Lack Of Knowledge

The present study was conducted in Bilaspur district of Chhattisgarh to find out socio-economic condition and constraints faced by rice growing farmers in adoption of organic and bio-fertilizer. A total of 120 respondents were selected randomly for the present study. The data was collected through a pre-structured interview schedule and later appropriate statistical analysis was done to find out meaningful results. The result showed that there were eight main constraints perceived by the farmers which were complicated method of application, long process of organic fertilizer preparation, lack of knowledge about type and recommended doses, supply agency at long distance, lack of guidance from extension personal, organic and Bio-fertilizer are costly, lack of conviction about the merits of the practice and mishandling and poor quality of bio-fertilizer out of which mishandling and poor quality of bio-fertilizer with weighted mean score of 2.47 ranked I and Long process of organic fertilizer preparation with weighted mean score of 2.16 ranked II.

scholarly journals ASSOCIATION BETWEEN SOCIO-ECONOMIC CONDITION AND KNOWLEDGE LEVEL OF INDIGENOUS TECHNICAL KNOWLEDGE (ITK) BY RURAL FARM FAMILIES IN SAMPATCHAK BLOCK IN PATNA DISTRICT OF BIHAR

2021 ◽  
Vol 8 (8) ◽  
pp. 170-177
Author(s):  
Ashish Anand ◽  
Syed H. Mazhar ◽  
Jahanara Jahanara ◽  
Dipak Kumar Bose
Keyword(s):  
Statistical Analysis ◽  
Economic Condition ◽  
Media Exposure ◽  
Structured Interview ◽  
Technical Knowledge ◽  
Knowledge Level ◽  
Farm Families ◽  
Interview Schedule ◽  
Indigenous Technical Knowledge ◽  
Mass Media Exposure

The present study was conducted in Patna District of Bihar to find out the association between socio-economic condition and knowledge level of rural farm families regarding indigenous technical knowledge. A total of 120 respondents were selected randomly for the present study. The data were collected through a pre-structured interview schedule and appropriate statistical analysis was done to find out the association. It was found that age, mass media exposure and extension contacts were found to be highly significant with relation to knowledge of the rural farm families regarding indigenous technical knowledge whereas land holding was found to be mildly related.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

Intraindividual Variability in Development Within and Between Individuals

2001 ◽  
Vol 6 (3) ◽  
pp. 187-193 ◽  
Author(s):  
John R. Nesselroade
Keyword(s):  
Statistical Analysis ◽  
Research Design ◽  
Intraindividual Variability ◽  
Factor Analytic

A focus on the study of development and other kinds of changes in the whole individual has been one of the hallmarks of research by Magnusson and his colleagues. A number of different approaches emphasize this individual focus in their respective ways. This presentation focuses on intraindividual variability stemming from Cattell's P-technique factor analytic proposals, making several refinements to make it more tractable from a research design standpoint and more appropriate from a statistical analysis perspective. The associated methods make it possible to study intraindividual variability both within and between individuals. An empirical example is used to illustrate the procedure.

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