scholarly journals Different Statistical Methods Studying the Nature Relationships between Climatic Variables and Cotton Production

2018 ◽  
Vol 3 (1) ◽  
pp. 1-16
Author(s):  
Zakaria M Sawan
Keyword(s):  
Statistical Methods ◽  
Climatic Variables ◽  
Cotton Production

Study of Statistical Methods in the Spatial Variability Measurement of Climatic Variables within Broiler Houses

2008 ◽  
Author(s):  
Thayla Morandi Ridolfi de Carvalho ◽  
Daniella Jorge Moura ◽  
Irenilza Alencar Nääs
Keyword(s):  
Spatial Variability ◽  
Statistical Methods ◽  
Climatic Variables

scholarly journals Organik Tekstil Ürünlerinin Pazar Yapısı

2021 ◽  
Vol 5 (23) ◽  
pp. 202-232
Author(s):  
Ali TAŞTEKİN
Keyword(s):  
Marital Status ◽  
Key Words ◽  
Human Health ◽  
Statistical Methods ◽  
Cotton Production ◽  
Main Ingredient ◽  
Important Phenomenon ◽  
Day By Day

In addition to the contribution of organic textiles to human health to our environment today, it also contributes significantly to our environment. The main ingredient of organic textiles, which is one of the most important elements, is that the drugs used in cotton production are not chemical, but also provide the opportunity to live in a cleaner environment in their creatures living around us. Organic textiles are very important in people's lives and day by day people become aware of organic textiles is a very important phenomenon. On the awareness of people, it is more important that the organ is preferred to clothing today. SPSS (Statistical Package for Socia lSciences) for Windows 22.0 program was used in the analysis of the data obtained in the study. Descriptive statistical methods were used to evaluate the data. Attitude level score was determined as a result of using score values for answers to scale questions. Satisfaction comparisons were made according to gender, age, marital status and education variables. Key Words: Textile, Sunday, Agriculture, Organic

Statistics and parallaxes

1978 ◽  
Vol 48 ◽  
pp. 7-29
Author(s):  
T. E. Lutz
Keyword(s):  
Experimental Design ◽  
Statistical Methods ◽  
Review Paper ◽  
Systematic Errors ◽  
Past Experience ◽  
Random Errors ◽  
Trigonometric Parallaxes ◽  
Systematic And Random Errors

This review paper deals with the use of statistical methods to evaluate systematic and random errors associated with trigonometric parallaxes. First, systematic errors which arise when using trigonometric parallaxes to calibrate luminosity systems are discussed. Next, determination of the external errors of parallax measurement are reviewed. Observatory corrections are discussed. Schilt’s point, that as the causes of these systematic differences between observatories are not known the computed corrections can not be applied appropriately, is emphasized. However, modern parallax work is sufficiently accurate that it is necessary to determine observatory corrections if full use is to be made of the potential precision of the data. To this end, it is suggested that a prior experimental design is required. Past experience has shown that accidental overlap of observing programs will not suffice to determine observatory corrections which are meaningful.

Review of Statistical Methods for Rates and Proportions.

1973 ◽  
Vol 18 (11) ◽  
pp. 562-562
Author(s):  
B. J. WINER
Keyword(s):  
Statistical Methods
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