primary data and secondary data? Primary data is the data that is collected first hand from the original source for the purpose of making statistical inference while secondary data is the data that is collected by the method of abstraction and is used to make statistical inference by using primary data already collected by an investigator. Primary data is collected by Identifying population of interest choosing sample analyse sample information draw inference from sample information
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management and (3) needs assessment. It is apparent that HRM in the telecom industry of Laos is not yet properly executed and executives involved in it had low attention in managing and developing their human resource. There was unclear understanding of how to execute HRM effectively‚ as a result‚ the variables of the compensation management and information exchange had been fallen into the same aspect. With such findings‚ the recommendations have been proposed to the telecom companies of Laos to firstly
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DATA INTEGRATION Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations‚ which include both commercial (when two similar companies need to merge their databases and scientific (combining research results from different bioinformatics repositories‚ for example) domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes
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INTRODUCTION The design of the research project specifies both the data that are needed and how they are to be obtained. The first step in the data-collection process is to look for secondary data. These are data that were developed for some purpose other than for helping to solve the problem at hand. The data that are still needed after that search is completed will have to be developed specifically for the research project and are known as primary data. The secondary data that are available
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in intermediate examination is linked with students’ outline consisted of his approach towards communication‚ learning facilities‚ proper guidance and family stress. The research is based on student profile developed on the bases of information and data collected through assessment from students of a group of private colleges. Abstract Keywords : Students performance‚ communication‚ learning facilities‚ proper guidance and family stress. GJMBR-A Classification : FOR Code: 140204 JEL Code: I21
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DEFINE TWO GROUP SIMPLE RANDOMIZED DESIGN TWO GROUP SIMPLE RANDOMIZED DESIGN: This is a form of completely randomized design (C.R. design). In a two-group simple randomized design‚ first of all the population is defined and then from the population a sample is selected randomly. Further‚ requirements of this design is that items‚ after being selected randomly from the population‚ be randomly assigned to the experimental and control groups (such random assignment of items to two groups is technically
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the oppressive nature of governments‚ may also wish to encrypt certain information to avoid suffering the penalties of going against the wishes of those who attempt to control. Still‚ the methods of data encryption and decryption are relatively straightforward‚ and easily mastered. I have been doing data encryption since my college days‚ when I used an encryption algorithm to store game programs and system information files on the university mini-computer‚ safe from ’prying eyes’. These were files
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Summary of data gathering There are more cars and trucks going through the intersection of Spring Street and Route 27 in the morning than the afternoon. How to determine cars and trucks Cars are usually used for taking passengers to the destination; in general‚ they are smaller than trucks. As for trucks‚ there are larger spaces to carry items‚ for example‚ gasoline‚ foods‚ and other goods. In addition‚ school buses are important transportations on campus‚ but they are counted as neither cars
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Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific
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nutrient Metabolism Dietary Chromium Supplementation with or without Somatotropin Treatment Alters Serum Hormones and Metabolites in Growing Pigs without Affecting Growth Performance1«2 CHRISTINA M. EVOCK-CLOVER‚3 MARILYN M. POLANSKY‚* RICHARD A. ANDERSON* AND NORMAN C. STEELE Nonruminant Animal Nutrition Laboratory and *Vitamin and Mineral Nutrition Laboratory‚ USDA-Agricultural Research Service‚ Beltsuille‚ MD 20705 increase in insulin internalization in rat muscle cells (Evans and Bowman 1992)
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