scholarly journals Methods for classifying coefficients of variation in experimentation with poultrys

2019 ◽  
Vol 9 (4) ◽  
pp. 565-574 ◽  
Author(s):  
Ana Alice Salmito Noleto de Campos Ferreira ◽  
Leilane Rocha Barros Dourado ◽  
Daniel Biagiotti ◽  
Natanael Pereira da Silva Santos ◽  
Daphinne Cardoso Nagib Nascimento ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Coefficient Of Variation ◽  
Laying Hens ◽  
Interquartile Range ◽  
Descriptive Statistics ◽  
Microsoft Excel ◽  
Maximum Value ◽  
Coefficients Of Variation ◽  
Value Range ◽  
Different Response

The aim of this work was to evaluate the coefficient of variation (CV) and to establish classification ranges for the main variables evaluated in experimentation with poultrys through different methods. The CV data of different response variables observed in poultry articles (broilers, laying hens, roosters and quails) published in five national journals were tabulated in a Microsoft Excel 2010® worksheet. Afterwards, they were subjected to normality evaluation through the Shapiro-Wilk method, and later the following data of the descriptive statistics were utilized: maximum value, minimum value, range, mean, median, standard deviation, midquartile, first quartile, third quartile, interquartile range, and pseudo sigma. According to the values obtained in the descriptive statistics of the CVs of each variable, classification ranges were elaborated for these values, considering six different forms of classification, adapted from the consulted literature. The results indicated that the classification ranges established for CVs in experiments with poultrys are different from those recommended in statistical textbooks. It is possible to utilize midquartile, pseudo sigma, mean and standard deviation through different methods in order to classify the CVs, but the use of the standard deviation promotes incoherent classifications in certain variables, and promotes increase in the amplitude between the lowest and the highest CV value obtained for the classification ranges.

Total Sugars as Invert in Animal Feed Products: Collaborative Study

1974 ◽  
Vol 57 (2) ◽  
pp. 382-386
Author(s):  
Howard P Moore ◽  
Dorothy Berg
Keyword(s):  
Standard Deviation ◽  
Coefficient Of Variation ◽  
Animal Feed ◽  
Sucrose Solution ◽  
Collaborative Study ◽  
Total Sugars ◽  
Average Recovery ◽  
Coefficients Of Variation ◽  
Standard Deviations

Abstract An expressed need for a method of analyzing for total sugars as invert in animal feed products led to a modification of the volumetric sugar method. Twenty collaborators, analyzing 3 pairs of samples of molasses products, plus a known concentration of sucrose and a sample of dried whey, produced results with standard deviations ranging from 1.25 to 1.86 and coefficients of variation ranging from 3.6 to 5.1. The average recovery of the known sucrose solution was 98 % with a standard deviation of 1.22 and a coefficient of variation of 2.9. The method has been adopted as official first action to replace sec. 7.058.

Inhomogeneity of Bone Mineral Distribution in 2D Projection Images of Trabecular Bone is Associated With Its Micro-Architecture and Biomechanical Properties

2011 ◽  
Author(s):  
X. Neil Dong ◽  
Ning Huang ◽  
Mukul V. Shirvaikar ◽  
Xiaodu Wang
Keyword(s):  
Standard Deviation ◽  
Stochastic Model ◽  
Spatial Variation ◽  
Bone Quality ◽  
Coefficient Of Variation ◽  
Biomechanical Properties ◽  
Descriptive Statistics ◽  
Inhomogeneous Distribution ◽  
Bone Properties ◽  
Projection Images

Bone quality is significantly correlated with the inhomogeneous distribution of material and ultrastructural properties (e.g., modulus and mineralization) of the tissue. Current techniques for quantifying inhomogeneity consist of descriptive statistics such as mean, standard deviation and coefficient of variation. However, these parameters do not describe the spatial variations of bone properties. The objective of this study was to apply a novel stochastic model [1] to characterize and quantitatively describe the spatial variation of bone properties such as mineralization.

scholarly journals THE EFFECTS OF VOCABULARY AND GRAMMAR MASTERY ON STUDENT'S ABILITY TO WRITE ENGLISH (Survey at Private Vocational School in East Jakarta)

2021 ◽  
Vol 3 (1) ◽  
pp. 23
Author(s):  
Kamaludin Kamaludin ◽  
Supadi Supadi
Keyword(s):  
Standard Deviation ◽  
Significant Influence ◽  
Research Method ◽  
Research Process ◽  
Descriptive Statistics ◽  
Vocational School ◽  
Survey Method ◽  
Microsoft Excel ◽  
Normality Test ◽  
The Mean

This study aimed to determine the effect of mastery of vocabulary on students' ability to write English. Furthermore, to determine the effects of vocabulary and grammar mastery on students' ability to write English. The research method used was a survey method; samples were taken as many as 70 students with a simple random technique. Data collection using the instrument: tests, data analysis using descriptive statistics such as finding the mean, median, mode, standard deviation, multiple linear regression, normality test data, hypothesis testing, and inferencial statistics to find the correlation coefficient with the calculated T-test and F calculated. The research process takes a month, where the researcher gives the direct tests in class XI of vocational school. The research is done from September to January 2020. The hypothesis of this study is 1) There is a significant influence of mastering vocabulary and mastering grammar together on student's ability to write English, 2) There is a significant influence of mastering vocabulary on student's ability to write English, 3) There is a significant influence of mastering grammar on student's ability to write English. The research method used statistics with the help of Microsoft Excel and SPSS 22.0. Conclusions from the results of this study's analysis: There is a significant influence of mastering vocabulary and grammar mastery on students' ability to write English at private Vocational School in east Jakarta. This is evidenced by the acquisition of Sig = 0,000 < 0.05 and F count = 9,403. Second, there is a significant influence of vocabulary mastery on students' writing English at a private Vocational School in east Jakarta. This is evidenced by the acquisition of Sig = 0,029 < 0,05 and t count = 2,229. Third, there is a significant influence of grammar mastery on student's ability to write English at a private Vocational School in east Jakarta. This is evidenced by the acquisition of Sig = 0,002 < 0,05 and t count = 3,304.

scholarly journals Uncertainty-Based Trimmed Coefficient of Variation with Application

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Ali Hussein Al-Marshadi ◽  
Muhammad Aslam ◽  
Alharbey Abdullah
Keyword(s):  
Standard Deviation ◽  
Coefficient Of Variation ◽  
Measurement Data ◽  
Descriptive Statistics

In this paper, the neutrosophic trimmed average, neutrosophic trimmed standard deviation, and neutrosophic trimmed coefficient of variation (NTCV) are introduced. The application of the proposed neutrosophic trimmed descriptive statistics is given with the help of measurement data. The comparisons of the proposed NTCV are compared with the existing neutrosophic coefficient of variation (NCV). From the comparisons, it is concluded that the proposed NTCV is more efficient than NCV in terms of consistency and measures of indeterminacy. Based on the study, it is recommended to apply the proposed NTCV in the industry when there is a need to make decisions on the basis of measurement data.

scholarly journals RAINFALL TRENDS ANALYSIS IN TÂRGU MUREȘ CITY, ROMÂNIA

2021 ◽  
Vol 31 (1) ◽  
pp. 45-56
Author(s):  
Ion BUGLEA ◽  
Keyword(s):  
Standard Deviation ◽  
Trend Analysis ◽  
Coefficient Of Variation ◽  
Kendall Test ◽  
Precipitation Data ◽  
Monthly Average ◽  
Maximum Value ◽  
Rainfall Trends ◽  
Trends Analysis ◽  
Slope Estimator

The aim of this study is the detection of trends of precipitation from (1986-2020) over Târgu Mureș city. Precipitation data for 35 years were processed with MS Excel spreadsheets to find monthly, seasonal and annual variability of rainfall. The Mann-Kendall test was used for trend analysis of precipitation and the Sen’s slope estimator was used for the magnitude of variation. The calculations of the two methods were performed using the MAKESENS program. The standard deviation and the coefficient of variation were used to highlight the dispersion. Results show that all three scales (annual, seasonal and monthly show a tendency to increase rainfall. The highest monthly average of precipitation is 227.70 mm (August, 2005), and the lowest monthly average of precipitation is 0.80 mm (November, 2011). The maximum value of annual precipitation is 852.60 mm and was registered in 2005, and the minimum value was 408.70 mm registered in 2000.

COMPARISON OF LEARNING MATH LEARNING RESULT STUDENTS WITH SAVI MODEL AND NHT MODEL ON STUDENT SMKN 1 KOLAKA

2018 ◽  
Vol 3 (1) ◽  
pp. 22-27
Author(s):  
S. Supratman ◽  
Sri Wulandari Muhlis
Keyword(s):  
Standard Deviation ◽  
Student Learning ◽  
Learning Outcomes ◽  
Mathematics Learning ◽  
Learning Model ◽  
T Test ◽  
Mathematics Students ◽  
Learning Models ◽  
Maximum Value ◽  
Learning Mathematics

The formulation of the problem in this research are: (1) How the result of learning mathematics of students after taught by SAVI learning model?, (2) How the result of learning mathematics of students after taught by NHT learning model?, (3) Is the result of learning mathematics of students who taught with SAVI learning model is higher than students taught by NHT learning model. The purpose of this study are: (1) To know how the results of learning mathematics students after teaching with SAVI learning model, (2) To find out how the results of learning mathematics students after being taught with NHT learning model, (3) To determine whether the results of learning mathematics students taught by SAVI learning models higher than students taught by NHT learning models. Type of research using experimental method. The population in this study is all students of class X spread in 11 parallel classes with the number of 310 people. Sampling was done by using cluster random sampling technique. In this research as a sample taken 2 classes from the entire population that is class X A3 as experiment class 1 using SAVI learning model and class X A1 as experiment class 2 using NHT learning model. From result of data analysis obtained that: (1) result of student learning taught by using SAVI learning model which consist of 25 students show minimum value 62, maximum value 96, mean (mean) 80,36, with standard deviation 9,10; (2) student learning outcomes taught using NHT learning model consisting of 25 students showing minimum score 62, maximum value 96, mean (mean) 79,62, with standard deviation 10,512; (3) result of t-test analysis using independent sample t-test obtained tcount = 0,302 at = 0,05 with degrees of freedom (dk) = 48 obtained t table = 2,011. Because t <t table then Ha is rejected and H0 is accepted. So it can be concluded that the mathematics learning outcomes of students who were taught with the SAVI model was not higher than the students taught by the NHT model.

scholarly journals Species Richness and Traditional Knowledge of Macrofungi (Mushrooms) in the Awing Forest Reserve and Communities, Northwest Region, Cameroon

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Tonjock Rosemary Kinge ◽  
Nkengmo Apiseh Apalah ◽  
Theobald Mue Nji ◽  
Ache Neh Acha ◽  
Afui Mathias Mih
Keyword(s):  
High Altitude ◽  
Traditional Knowledge ◽  
Group Discussion ◽  
Descriptive Statistics ◽  
Microsoft Excel ◽  
Forest Reserve ◽  
Pictorial Presentation ◽  
Mycorrhizal Associations ◽  
Low Altitude ◽  
Northwest Region

Macrofungi are diverse in their uses as food and medicine and several species serve as decomposers and also form mycorrhizal associations. Awing forest reserve is diverse in plants and fungi species. However, no work has been carried out to assess the diversity and traditional knowledge of macrofungi in the area. Diversity surveys were carried out in three altitudes using transects of 50×20 m for six months in 2015. Ethnomycology studies were carried out in fifteen communities using focus group discussion, pictorial presentation, and questionnaires. The data was analyzed using descriptive statistics in Microsoft Excel 2010. Seventy-five species belonging to thirty families were identified by morphology. Thirty-six species were found only in the low altitude, 16 in the mid altitude, and 16 species in high altitude. One species was common to low and mid altitude and also low and high altitude; five species were common to mid and high altitude while there was no species common to all three altitudes. The indigenes of the Awing communities commonly called mushroom “Poh” and use it mainly as food and medicine and in mythological beliefs. The most utilized species as food and medicine included Termitomyces titanicus, Laetiporus sulphureus, and Ganoderma sp.

scholarly journals Classification of the coefficient of variation to variables in beef cattle experiments

2017 ◽  
Vol 47 (11) ◽  
Author(s):  
Marcos André Braz Vaz ◽  
Paulo Santana Pacheco ◽  
Enio Júnior Seidel ◽  
Angela Pellegrin Ansuj
Keyword(s):  
Standard Deviation ◽  
Beef Cattle ◽  
Coefficient Of Variation ◽  
Theses And Dissertations

ABSTRACT: This research was conducted to propose a classification of the coefficient of variation (CV%) in many categories of variables of production and carcass of beef cattle experiments. The data was collected from theses and dissertations. We used the methods of classification considering mean and standard deviation, and considering median and pseudo-sigma. The two methods showed similar results so both can be used to classify CV%. We propose only three categories to rank CV%: low, medium and high.

scholarly journals Examination of the Risk Assessment Levels of Athletes in Different Branches According to Some Variables

2018 ◽  
Vol 6 (10) ◽  
pp. 193
Author(s):  
Abdurrahman Kirtepe
Keyword(s):  
Risk Assessment ◽  
Data Analysis ◽  
Standard Deviation ◽  
Personal Information ◽  
Educational Status ◽  
Analysis Data ◽  
Descriptive Statistics ◽  
Income Status ◽  
Package Program ◽  
Sample Method

In this study, the risk assessment levels of athletes in different branches were examined in terms of various variables. Descriptive scanning model was used in the study. In the research, the survey was completed with a sample method of 105 people. The questionnaire was used as a data collection tool in the research. The questionnaire consists of questions about personal information and the Risk Assessment scale for athletes and coaches. Data analysis was performed in SPSS 21 package program. Descriptive statistics such as frequency, percent, and mean, standard deviation, minimum and maximum were used in data analysis. Data analysis was performed in SPSS 21 package program. Descriptive statistics such as frequency, percent, and mean, standard deviation, minimum and maximum were used in data analysis. As a result of the research, it was determined that the risk assessment perceptions of athletes according to their age, branches, educational status and income status did not differ. As a result of the research, it was determined that the risk assessment perceptions of athletes according to their age, branches, educational status and income status did not differ.

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