Statistics are the use of data to classify, organize, analyzing, summarize, and collecting numerical information in large quantities. There are actually only two different types of statistics. Statistics are the collection of data, and the organization of the data. The two types of statistics that can be used are qualitative and quantitative ("What Are The Different Type Of Statistics", n.d). The other names for qualitative and quantitative are inferential statistics and Descriptive statistics. The
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This chapter outlines the research methodology of this study. The geographical area where the study will be conducted, the design and the population including the instrument used to collect the data will be described. Research Design The researchers followed the quantitative approach. According to Burns and Grove (1993:777), quantitative research is a formal, objective, systematic process to describe and test relationships and examine cause and effect interactions among variables. This study used
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to discuss aspects of courseroom project approach using action research required in the presentation of dissertation. The paper targets populations, sampling plan, data-collection methods, and use of secondary data sources and design applications, and any implications on data analysis, distributions or application of specific analysis on framing and any other research problems. Reframing The use of frames in research projects encompass the process of identifying boundaries such as; power, knowledge
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technique, description of the respondents, research instrument, data-gathering procedure, and statistical treatment used for data analysis. Research Method Used The descriptive method of educational research was employed in the study, since it describes what traits or what it is of a certain educational phenomenon. Borg defines the descriptive method as a distinctive research methodology of systematic data collection, presentation, and analysis. The method of research is concerned with conditions and
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significantly affect the profitability of any NBFI company. In addition term deposit also affects the profitability though that is statistically not significant. Different Statistical techniques such as correlation matrix, multiple regressions have been used to determine the relationships between variables. And before doing regression analysis normality distribution test by Run test, and K-W test for randomness has been done. The research is an attempt to find out the statistically significant key determinants
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Statistical Databases Jaideep Srivastava and Hung Q. Ngo, Department of Computer Science, University of Minnesota, 200 Union street, EE/CS Building, room 4-192, Minneapolis, MN 55455 e-mail: srivasta, hngo @cs.umn.edu, ¡ 1 Introduction A statistical database management system (SDBMS) is a database management system that can model, store and manipulate data in a manner well suited to the needs of users who want to perform statistical analyses on the data. Statistical databases have some special
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employees. Analyzing the data within these surveys is to find the overall job satisfaction using qualitative and quantitative variables. Introduction A word wide study of job satisfaction has been assembled by a large organization called American Intellectual Union (AIU). I have been chosen to be a part of this massive global undertaking. I will be analyzing the data from this study and results survey using AIU’s data set. Chosen Variables In examining the data set and results of AIU’s
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CHAPTER ONE BACKGROUND 1.0 Introduction This chapter provides a brief background of the Zambia National Union of Teachers (ZNUT) and the genesis of teachers’ education on the effectiveness of grievance handling procedure in ZNUT. It begins by looking at the history of the Zambia National Union of Teachers and later it discusses the beginnings of teachers’ education of grievance handling procedure in the teacher union. Other items covered are the statement of the problem, the purpose of the study
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1. Define data mining. Why are there many different names and definitions for data mining? Data mining is the process through which previously unknown patterns in data were discovered. Another definition would be “a process that uses statistical, mathematical, artificial intelligence, and machine learning techniques to extract and identify useful information and subsequent knowledge from large databases.” This includes most types of automated data analysis. A third definition: Data mining is the
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Other Descriptive Research Methods l Developmental research l Case study l Job analysis l Observational research l Correlational studies ~Developmental Research l Is the study of changes in behaviors across years. l Infancy, childhood, adolescence, as well as, elderly.� The total human life span. l Longitudinal � follow same individuals over time l Cross-sectional � select different participants at each age level ~Longitudinal designs l Are time-consuming l
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