Fundamentals of Biomedical Statistics

2020 ◽  
Author(s):  
Ivana Katnic ◽  
Marija Orlandic
Keyword(s):  
Regression Analysis ◽  
Statistical Inference ◽  
Statistical Methods ◽  
Biomedical Research ◽  
Descriptive Statistics ◽  
Biomedical Data ◽  
Correlation And Regression Analysis ◽  
Short Overview ◽  
Biomedical Statistics

This chapter is written in order to give students general summary of basic statistical methods, techniques, indicators and procedures. However emphasis is on the application of those that are frequently used in biomedical research. Statistics is science about data, but data that represent numbers with their context. Therefore, in this chapter the topics of population, samples, types of variables, descriptive statistics and statistical inference will be briefly covered. At the end, correlation and regression analysis will be briefly presented. The aim of this chapter is to give a very short overview of the main principles; techniques and procedures that should be used in order to obtain and understand analyzed biomedical data.

scholarly journals Awareness and Perception of Muslim Consumers on Non-Food Halal Product

2013 ◽  
Vol 4 (10) ◽  
pp. 478-487 ◽  
Author(s):  
Norafni Farlina Rahim ◽  
Syahidawati Shahwan .
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Multiple Regression ◽  
Food Consumption ◽  
Strong Influence ◽  
The State ◽  
Descriptive Statistics ◽  
Correlation And Regression Analysis ◽  
The World ◽  
Halal Food

Halal has become the lifestyle of Muslim consumers in the world. As the Muslim populations increasing throughout the world, the awareness on consuming Halal also goes in the same parallel trend. In Malaysia, Halal food certification and management are given a lot of attention by the consumers, producers and regulators. However, Halal is not only covering only food consumption but also for nonfood products such as cosmetics, toiletries, pharmaceuticals, leather products, perfume and fragrances, brushes and so on. The services such as banking, entertainment, tourism, and logistic also related to Halal requirements. Thus, this research paper aims to investigate the awareness and perception of Muslim consumers on non-food Halal products and to identify the factors that influence the awareness and perception of consumers to the non-food Halal products. Moreover, this research also aims to confirm whether the identified variables have the strong influence to the level of awareness and perception of Muslim consumers on non-food Halal product. The samples of the research consisted of 236 government servants in the state of Selangor. The data are collected through questionnaire and analysed using the descriptive statistics, factor analysis and multiple regression. The results of the study revealed that the factors derived from factor analysis are: Halal information (X 1), Availability (X2), Halal on media (X3) and Halal programmes(X4). Based on correlation and regression analysis, it is predicted that all factors are significant except for Halal programmes (X4). This study implicates that Halal-related programmes by related organisations in Halal industry is still lacking in promoting the Halal awareness and perception on non-food products.

A Study on the Relation between Meta-Cognition and Problem Solving Ability among the Students of Mechanical Engineering

2012 ◽  
Vol 263-266 ◽  
pp. 3439-3443
Author(s):  
Hsiu Ming Lee ◽  
Chien Pen Chuang ◽  
Jeen Fong Li ◽  
Yu Chun Huang
Keyword(s):  
Regression Analysis ◽  
Problem Solving ◽  
Predictive Power ◽  
Descriptive Statistics ◽  
Moderate Correlation ◽  
Correlation And Regression Analysis ◽  
Current State ◽  
Simple Regression Analysis ◽  
The Relationship ◽  
Simple Regression

This study are to understand the current state of the students’ meta-cognition, their attitude toward problem solving ability and to explore the relationship between the two. Using descriptive statistics, t-tests, Pearson product-moment correlation, and regression analysis, there was a moderate correlation (r = .531, p＜.05*) between the subjects’ meta-cognition and problem solving ability. Using simple regression analysis, the findings showed that meta-cognition had significant predictive power on problem solving ability.

scholarly journals The Application of Statistical Methods to Identify Factors Determining Employment Effectiveness in District Labour Offices in Poland

2019 ◽  
Vol 4 (343) ◽  
pp. 235-255 ◽  
Author(s):  
Iwona Bąk ◽  
Katarzyna Wawrzyniak ◽  
Maciej Oesterreich
Keyword(s):  
Regression Analysis ◽  
Labour Market ◽  
Statistical Methods ◽  
Market Institutions ◽  
Employment Services ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
State Employment ◽  
Effectiveness Index ◽  
The Unemployed

In Poland, institutions that perform public tasks in the field of the labour market are state employment services, including District Labour Offices (PUPs). They try to restore the unemployed to the open labour market using active forms of their activation. The activities of PUPs in the field of customer activation are subject to annual evaluation. According to the “Act on Employment Promotion and on Labour Market Institutions”, four indicators were selected for the evaluation of the functioning of labour offices in 2015–2017. Among them, the employment effectiveness index is very important, as its level allows us to assess to what extent active forms of activation of the unemployed implemented by PUPs contribute to the return of the unemployed to employment. This assessment is so important that in Poland as well as in other countries research has been conducted on both active forms of activation of the unemployed and employment policies. The aim of the research whose results are presented in the article was to identify factors influencing the employment effectiveness index achieved by District Labour Offices (PUPs) operating in Poland in 2016. Selected statistical methods were used, including correlation and regression analysis as well as multidimensional correspondence analysis. It turned out that the methods applied did not make it possible to unambiguously identify factors which had significantly affected the employment effectiveness index calculated on the basis of all forms of activation. It may turn out that clearer relations could be identified if this indicator was considered separately for particular forms of activation.

scholarly journals Communication and Its Impact on Customer Satisfaction in Hospitality Industry

2019 ◽  
Vol 1 (2) ◽  
pp. 97-104
Author(s):  
Andualem Walelign
Keyword(s):  
Regression Analysis ◽  
Standard Deviation ◽  
Customer Satisfaction ◽  
Hospitality Industry ◽  
Descriptive Statistics ◽  
Current Status ◽  
Independent Variables ◽  
Correlation And Regression Analysis ◽  
The Mean ◽  
The Relationship

The main aim of this study was to assess the influence of communication on customer satisfaction. Descriptive statistics (mean score and standard deviation) were used to examine the customers’ perceptions and current status of customer satisfaction. The least performance was obtained from the mean score of communication dimension. Correlation and regression analysis were used to see the relationship between dependent and independent variables as well as to investigate cause and effect relationships. The key finding showed that there was a positive and significant effect of communication on customer satisfaction.

Influence of technology parameters of free-cutting steel continuous casting on the billet internal structure

2020 ◽  
Vol 76 (2) ◽  
pp. 139-142
Author(s):  
A. T. Kunakbaeva ◽  
A. M. Stolyarov ◽  
M. V. Potapova
Keyword(s):  
Regression Analysis ◽  
Continuous Casting ◽  
Internal Structure ◽  
Sulfur Content ◽  
Manganese Content ◽  
High Quality ◽  
Correlation And Regression Analysis ◽  
Cutting Steel ◽  
Continuously Cast

Free-cutting steel gains specific working properties thanks to the high content of sulfur and phosphorus. These elements, especially sulfur, have a rather high tendency to segregation. Therefore, segregation defects in free-cutting steel continuously cast billets can be significantly developed. The aim of the work was to study the influence of the chemical composition of freecutting steel and casting technological parameters on the quality of the macrostructure of continuously cast billets. A metallographic assessment of the internal structure of cast metal made of free-cutting steel and data processing by application of correlation and regression analysis were the research methods. The array of production data of 43 heats of free-cutting steel of grade A12 was studied. Steel casting on a five-strand radial type continuous casting machine was carried out by various methods of metal pouring from tundish into the molds. Metal of 19 heats was poured with an open stream, and 24 heats – by a closed stream through submerged nozzles with a vertical hole. High-quality billets had a cross-sectional size of 150×150 mm. The macrostructure of high-quality square billets made of free-cutting steel of A12 grade is characterized by the presence of central porosity, axial segregation and peripheral point contamination, the degree of development of which was in the range from 1.5 to 2.0 points, segregation cracks and strips – about 1.0 points. In the course of casting with an open stream, almost all of these defects are more developed comparing with the casting by a closed stream. As a result of correlation and regression analysis, linear dependences of the development degree of segregation cracks and strips both axial and angular on the sulfur content in steel and on the ratio of manganese content to sulfur content were established. The degree of these defects development increases with growing of sulfur content in steel of A12 grade. These defects had especially strong development when sulfur content in steel was of more than 0.10%. To improve the quality of cast metal, it is necessary to have the ratio of the manganese content to the sulfur content in the metal more than eight.

Studying the factors of regional insurance market development using the correlation and regression analysis

2020 ◽  
Vol 26 (7) ◽  
pp. 1610-1630
Author(s):  
E.L. Prokop'eva
Keyword(s):  
Regression Analysis ◽  
Federal District ◽  
Insurance Market ◽  
Market Development ◽  
Insurance Markets ◽  
Regression Equations ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Country Level ◽  
Inverse Effect

Subject. The article investigates and quantifies factors of insurance markets functioning in Russian regions, and reveals possibilities to manage them. Objectives. The purpose of the study is to substantiate regional factors that determine the specifics of regional insurance market development; to quantify them to increase the efficiency of regional insurance. Methods. The study draws on statistical methods, functional analysis, algorithm development, correlation and regression analysis. Results. I calculated coefficients of pair and multiple correlation with the indicators of insurance markets in the context of the subjects of the Russian Federation, and composed regression equations. Based on the analysis, I determined the algorithm for inverse effect of the insurance market on the economic, social, fiscal and environmental performance of the region, offered appropriate measures aimed at developing the economic potential of the region and its social sphere. Conclusions. The paper considers the case of the Republic of Khakassia, one of depressed subjects in the Siberian Federal District. The developed models can be used for other regions of Russia, given the geographical and economic features of development. The findings may help generate regional strategies for socio-economic development at the country level. The scientific contribution and the novelty of the work consist of systematizing and quantifying the factors affecting the insurance mechanisms of regional markets, and assessing the inverse effect of insurance mechanisms on integrated development of the region.

Агрономическая эффективность промышленной (голландской) технологии возделывания картофеля

2018 ◽  
Author(s):  
C. Coy ◽  
A.V. Shuravilin ◽  
O.A. Zakharova
Keyword(s):  
Heavy Metals ◽  
Regression Analysis ◽  
Positive Response ◽  
Growth Yield ◽  
Correlation And Regression Analysis ◽  
Yield And Quality ◽  
Quality Of Products ◽  
High Degree ◽  
The Impact

Приведены результаты исследований по изучению влияния промышленной технологии возделывания картофеля на развитие, урожайность и качество продукции. Выявлена положительная реакция растений на подкормку K2SO4 в период посадки. Корреляционно-регрессионный анализ урожайности и качества клубней выявил высокую степень достоверности результатов опыта. Содержание нитратов и тяжелых металлов в клубнях было ниже допустимых величин.The results of studies on the impact of industrial technology of potato cultivation on growth, yield and quality of products. There was a positive response of plants to fertilizer K2SO4 in the period of planting. Correlation and regression analysis of yield and quality of tubers revealed a high degree of reliability of the results of experience. The contents of nitrates and heavy metals in tubers was below the permissible values.

Learning Language Levels in Students Accurate with a History Academic Achievement History

2017 ◽  
Vol 1 (2) ◽  
pp. 137
Author(s):  
Noorlela Binti Noordin ◽  
Abdul Razaq Ahmad ◽  
Anuar Ahmad
Keyword(s):  
Academic Achievement ◽  
Statistical Inference ◽  
Quantitative Data ◽  
Quantitative Methods ◽  
Descriptive Statistics ◽  
Language Test ◽  
The Subject ◽  
The Difference ◽  
Learning Language ◽  
The Relationship

This study was aimed to evaluate the Malay proficiency among students in Form Two especially non-Malay students and its relationship to academic achievement History. To achieve the purpose of the study there are two objectives, the first is to look at the difference between mean of Malay Language test influences min of academic achievement of History subject among non-Malay students in Form Two and the second is the relationship between the level of Malay proficiency and their academic achievement for History. This study used quantitative methods, which involved 100 people of Form Two non-Malay students in one of the schools in Klang, Selangor. This study used quantitative data were analyzed using descriptive statistics and statistical inference with IBM SPSS Statistics v22 software. This study found that there was a relationship between the proficiency of Malay language among non-Malay students with achievements in the subject of History. The implications of this study are discussed in this article.

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