Statistical Techniques for Data Analysis

Technometrics ◽  
2005 ◽  
Vol 47 (3) ◽  
pp. 379-379
Author(s):  
Julia C O'Neill
2020 ◽  
Vol 2 (2) ◽  
pp. 156-170
Author(s):  
Firmansyah Firmansyah

This research was conducted to determine the effectiveness of the implementation of the mentoring Al-Islam program at Universitas Islam OganKomeringIlir (UNISKI) Kayuagung which has been running so far, the implementation of the religious practice of students of UNISKI Kayuagung, and what effect the implementation of the mentoring Al-Islam program has on the implementation of the student's religious practice. This research is a descriptive field research with a quantitative approach. The data sources were students participating in the mentoring Al-Islam and the management of P5I UNISKI Kayuagung. Data collection is done using observation techniques, questionnaires, interviews, and documentation. The data analysis is done through descriptive statistical techniques. The results of the data analysis showed that the effectiveness of the implementation of the mentoring Al-Islam program at UNISKI Kayuagung based on the response data of 284 respondents to the research questionnaire using the one-sample t-test formula = 173,433> price of the table, both at the error level ( ) 5% = 1,645 or  1% = 2,362. Thus, the Ha submitted can be accepted. Meanwhile, the value of students' religious practice, using the t-test formula of one sample, the price of t arithmetic = 156.8> t table 5% = 1.645 and 1% = 2.362. The price of t arithmetic falls on the acceptance of Ha, so Ha is accepted and H0 is rejected. The statistical calculation using the product moment correlation formula shows that the application of the mentoring Al-Islam program has a positive and significant effect of 0.996 with a "very strong" relationship level on the religious practice of students of UNISKI Kayuagung.


Author(s):  
Stephen Rae ◽  
Ahmed Salhin ◽  
Babak Taheri ◽  
Catherine Porter ◽  
Christian König ◽  
...  

To understand data and present findings appropriately, researchers need awareness of statistical techniques. This chapter discusses the statistical tools used to analyse data collected. It focuses on two sets of the most widely used statistical tools, as shown in the ‘Deductive’ section in the data analysis area of the Methods Map (see Chapter 4): (1) exploring relationships and (2) comparing groups. In addition, we briefly explain ‘Big Data’.


Author(s):  
Selvan C. ◽  
S. R. Balasundaram

Data analysis is a process of studying, removing non-required data in the view level, and converting to needed patterns for sub decisions to make an aggregated decision. Statistical modeling is the process of applying statistical techniques in data analysis for taking proactive decisions depend requirements. The statistical modeling identifies relationship between variables, and it encompasses inferential statistics for model validation. The focus of the chapter is to analyze statistical modeling techniques in different contexts to understand the mathematical representation of data. The correlation and regression are used for analyzing association between key factors of companies' activities. Especially in business, correlation describes positive and negative correlation variables for analyzing the factors of business for supporting the decision-making process. The key factors are related with independent variables and dependent variables, which create cause and effect models to predict the future outcomes.


Technometrics ◽  
1993 ◽  
Vol 35 (3) ◽  
pp. 332
Author(s):  
Robert A. Dovich ◽  
John Keenan Taylor

1982 ◽  
Vol 19 (A) ◽  
pp. 71-85 ◽  
Author(s):  
Susan R. Wilson

This article discusses certain aspects of determining heritability estimates from the genetic analyses of data. First, a brief review is given of the major statistical techniques for fitting models to quantitative family data. Then, by reference to a general schematic framework, the basic models that have been proposed for such data will be described. Some new environmental models are also developed. Finally, by reference to some data sets, the interactive approach to data analysis is proposed, advocating the determination of adequacy of fit of all reasonable models to available data.


2018 ◽  
Vol 17 (2) ◽  
pp. 67-81
Author(s):  
Musyawir Musyawir ◽  
Saiful Ma’lul

AbstractThis study aims to determine whether or not there is any impact of the activity of red cross youth organization to the effective speaking ability of the students of class XI SMA Negeri 2 Panca Rijang Sidenreng Rappang Regency. This research uses two variables, namely the activity of the red cross youth organization as independent variabel (experimental group) and the ability to speak effective as a dependent variabel (control group). The population in this study is all students of class XI SMA Negeri 2 Panca Rijang Sidenreng Rappang Regency as many as 193 students, while the sample is 15% of the total population, which is 30 students. Data collection technique in this studi, ie documentation techniques then the results obtained from these techniques are further analyzed and processed through descriptive statistical techniques in the form of mean.The results showed that the value Mx = 68,3 and My = 63 so it can be seen that the value of Mx greater than My, ie 68,3 >63. Based on the result of data analysis, it can be concluded that there is impact of activity of organization of red cross yout organization to ability of effective speaking of student of class XI Negeri 2 Panca Rijang Sidenreng Rappang Regency.Keywords: Activity, Youth Red Cross organization, Speak effectively


1992 ◽  
Vol 24 (3) ◽  
pp. 168-169
Author(s):  
Lloyd S. Nelson

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