RATE DETERMINANTS OF BANKS IN PAKISTAN This study attempts to investigate determinant factors of interest rate differential on deposits and loan accounts of Pakistani banks. For this purpose 4 year data on 30 banks is included in this research paper. The empirical results based on the correlational analysis of the relationship between weighted average rate of interest and 10 independent variables which are credit risk, amount of deposit, administrative cost, profit margins, bank's liquidity, amount
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What is data mining: * Data mining (knowledge discovery from data) * Extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) patterns or knowledge from huge amount of data * data processing using sophisticated data search capabilities and statistical algorithms to discover patterns and correlations in large preexisting databases; a way to discover new meaning in data. 2. KDD process * General functionality * Descriptive data mining
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Unit Title: Descriptive Analytics Unit Code: BSS0014-2 Assessment 1: Part (a) Group presentation (20%) in week 7 – you are required to work effectively as a small team and attempt all the tasks. You will then present your results and I will ask from each group member a number of questions and provide feedback. Part (b) Individual report (30%) in week 9 - You will then need to use the feedback provided accordingly to improve your work and present it individually. It is expected that each student
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The following report presents a detailed statistical analysis of AJ DAVIS department store customers. Data was collected from a sample of 50 AJ DAVIS credit customers for the purpose of learning more about the customers of AJ DAVIS. The first variable considered is Location, a categorical variable. The three subcategories are Urban, Suburban and Rural. The frequency distribution and pie chart are included. Measures of central tendency and descriptive statistics are not calculated due to the
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this research? | | | | |What are ethical considerations for data collection? | | | | |What is the data telling us in terms of statistical analysis? | | | | |
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e - ISSN 1857- 7431 MARKET ANALYSIS AND THE FEASIBILITY OF ESTABLISHING SMALL BUSINESSES Azzam Azmi Abou-Moghli, PhD Applied Science University Ghaith Mustafa Al-Abdallah, PhD Applied Science University Abstract This study aims to explore the nature of relation and effect between market analysis and feasibility of establishing small businesses operating in the services sector in Jordan. Four independent variables were identified to market analysis: location, demand, price and competitors
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Identification of relevant social factors that affect customer behavior in purchasing car 1.1 Background of the Study The main purpose of this research is to identify the relevant social factors that affect purchase intention in purchasing car. The result of the research could be used as reference by the car dealer and manufacture which allows to understand the requirement of the market demand in Malaysia. Since there are a lot of competitors in vehicle industry provides advance manufacturing
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Evelyn Sorolla and Mrs. Iva Claire Latonero research teachers, for the professional guidance, excellent ideas and matchless patients that made this study complete. The researcher’s statistician, Ms. Michelle P. Bales for analyzing the statistical data, supporting their in all aspects and for sharing valuable knowledge. The researcher’s grammarian, Mr. John Martin P. Capicio for reviewing his/her English. And for always being there for the researchers. Mr. Edwin F. Mosura, for
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scales 2 Types of Research 2.1 By purpose 2.1.1 Basic research 2.1.2 Applied research 2.1.3 Action research 2.2 By method and technique 2.2.1 Historical 2.2.2 Descriptive – survey, causal comparative, correlation 2.2.3 Experimental 2.2.4 Qualitative – ethnography, case study, content analysis 3 Research Problem 3.1. Selection and statement 3.2.1. Selection 3.2.2. Sources 3.2.3. Statement 3.2. Review of Related Literature
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Connection between Statistical Software and Database Management System Sunghae Jun Department of Statistics, Cheongju University Chungbuk 360-764 Korea ABSTRACT In big data era, we need to manipulate and analyze the big data. For the first step of big data manipulation, we can consider traditional database management system. To discover novel knowledge from the big data environment, we should analyze the big data. Many statistical methods have been applied to big data analysis, and most works
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