probabilities to formulate the decision under uncertainty. Discreet outcome from statistical analysis as well as trade-offs between accuracy and precision obtained by different probabilities concepts shall be evaluated. According to car accident statistic stats, auto, fatal, and drunk driving, the estimation of having an accident is of one in 16 cars. It has provided useful information to make important decision. There are a number of probability concepts that can be used in determining the results
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Statistical Analysis and the common perception of property crime This project will determine whether or not a relationship exists between various variables as they pertain to, or not, property crime. Property crime affects everyone in the population, directly or indirectly. The ability to understand and predict indicators (independent variables) of property crime can help focus the finite assets of society and the government to reduce, or in a utopic vision eliminate, property crime
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| |UNIVERSITI TUNKU ABDUL RAHMAN (UTAR) | | | | | |FACULTY OF BUSINESS AND FINANCE (FBF)
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Statistical data as we have seen can be either primary or secondary. Primary data are those which are collected for the first time and so are in crude form. But secondary data are those which have already been collected. Primary data are always collected from the source. It is collected either by the investigator himself or through his agents. There are different methods of collecting primary data. Each method has its relative merits and demerits. The investigator has to choose a particular method
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Regression Paper Team RES/342 Research and Evaluation Teacher Date The Hypothesis Team C’s hypothesis is that the more years of education one receives the more a person can potentially earn in salary. The team will use the process of linear regression analysis to explain how the information is used and conduct a five-step test to see if the hypothesis proves true or false. Linear Regression Analysis Team C’s purpose of this
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Contents Letter of Transmittal………………………………………………………………………I Acknowledgement…………………………………………………………………...........II Abstract……………………………………………………………………………III 1. Introduction 1-4 1. Introduction ……………………………………………………………………1 1.1 Hypothesis ……………………………………………………….. ….2 1.2 Methodology: 1.2.1 Sampling Procedure……………………………………
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Meta-analysis is the review, and subsequent reanalysis, of relevant data obtained from many studies using statistics, with a view to providing a more coherent conclusion regarding a given hypothesis. The initial compilation of such a study is arduous, requiring many hours of dedicated searching. This in itself is one of the strengths of such a technique, providing somewhat of a fine tooth comb for research already conducted and also allowing for integration of unpublished data which may have been
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CHAPTER 3 Research Method and Procedures This chapter presents the research method, population and sampling scheme, description of the respondents, research instrument, procedure ingathering data and statistical treatment of data. Research Method In this, the research utilized the descriptive method of research with the survey instrument and unstructured interviews as techniques in gathering data. This is the most appropriate method since according to Amante (2008); Calmorin (1996); Halpin
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Evaluating the Research Process HCS-465 July 16.2012 Evaluating the Research Process The following paper will address the research process using the article Knowledge and attitude about colon cancer screening among African Americans. The research process consists of nine parts that include; selecting a problem, formulating a hypothesis, reviewing the literature, listing the measures, describing the subjects, constructing a design, constructing and identifying measurement devices, analysis
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5= very satisfied and 0= no answer/blank | 1.2. Revised Data. Test for Normal Distribution To proceed with the analysis it is necessary to determine if the data are distributed normally. The Histogram below as well as the Descriptive Statistics (Appendix 1, Table 1b) show that the data distribution is leptokurtic (kurtosis is 2,021) and negatively skewed (skewness -,240). We can determine several outliers (Appendix 1, Table 1c, Table 1d) with extreme ratios. In cases #46 and #178 JSL
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