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    WIDE VISION TOURS ANTIPOLO‚ CITY IN PARTIAL FULFIFILLMENT FOR THE REQUIREMENT OF THE DEGREE IN BACHELOR OF SCIENCE IN TOURISM MANAGEMENT SUBMITTED TO: Ms. Rhodora D. Lintot SUBMITTED BY: Feb Allman F. Balaoro Shiela A. Calixto WORLD CITI COLLEGES #156 M.L. Quezon Ave.‚ Antipolo City June 2014 INTRODUCTION On-the-job training (OJT) is one of the best training methods because it is planned‚ organized and conducted. OJT is generally the primary method used to broaden skills and increase

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    MOUTHWASH Submitted by: Ronnel S. Pinote I- INTRODUCTION A. Background of the... Premium How To Make Investigatory Project Make An Investigatory Project Sample Format: # Abstract After finishing the research and experimentation‚ you are required to write a (maximum) 250-word... Premium Science Investigatory Project using the t-test for dependent sample means. For subproblem 3‚ the effect of using the science investigatory project was analyzed through the application... Premium Investigatory Project

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    Research Sample Size

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    Sample size The process of determining the proper sample size was established through a series of calculations and after obtaining all the possible sample sizes‚ the largest one was taken into consideration to collect the closest number to a representative sample of the population. The following two equations where used: Equation 1: N=z2 *(p.q) E2 N= sample size Z=level of confidence interval at 95% so z=1.96 P=estimated percent of population E=acceptable sample error expressed

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    TABLE OF CONTENTS TITLE PACE ACKNOWLEDGEMENT DEDICATION TABLE OF CONTENTS Chapter I: INTRODUCTION AND ITS BACKGROUND Introduction Background of the Study Chapter II: RELATED LITERATURE OF THE STUDY Chapter III: PROBLEM DEFINITION General Problem Specific Problem Chapter IV: OBJECTIVES OF THE STUDY General Objectives Specific Objectives Chapter V: STRUCTURED ANALYSIS Description of the Proposed System Context Diagram of the Proposed System Data Flow

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    Sample Set

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    statistics‚ a sample is a subset of a population. Typically‚ the population is very large‚ making a census or a complete enumeration of all the values in the population impractical or impossible. The sample represents a subset of manageable size. Samples are collected and statistics are calculated from the samples so that one can make inferences or extrapolations from the sample to the population. This process of collecting information from a sample is referred to as sampling. A complete sample is a set

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    Sample

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    Transcript of Proposed Online Enrolment System for Philippine State Colleg As we all know‚ Philippine State College of Aeronautics (PhilSCA) produces aeronautics top-notchers and it has been known to be the only State College offering the highest quality of education among all the aviation schools in the country. The fame does not stop there. PhilSCA offers computer-related courses and provides teaching for Masters and Doctors education for graduates of the same school‚ or from a different college

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    Calculating Sample Size

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    Calculating Sample Size Types of Samples   Subjective or Convenience Sample  - Has some possibility of bias - Cannot usually say it is representative - Selection made by ease of collection Simple Random Sample  - No subjective bias - Equal chance of selection; e.g.‚ select the fifth chart seen on every third day - Can usually be backed to say it is representative Systematic Sample  - Is a random sample - Equal chance of selection due to methodology; e.g.‚ computer-generated list of

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    Determining Sample Size

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    Determining Sample Size In the business world‚ sample sizes are determined prior to data collection to ensure that the confidence interval is narrow enough to be useful in making decisions. Determining the proper sample size is a complicated procedure‚ subject to the constraints of budget‚ time‚ and the amount of acceptable sampling error. If you want to estimate the mean dollar amount of the sales invoices‚ you must determine in advance how large a sampling error to allow in estimating the population

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    RELIABILITY‚ VALIDITY AND REPRESENTATIVE SAMPLE IN RESEARCH John and Webb (2002‚ p.148) distinguishes between validity and reliability‚ arguing that the first one is the extent to which a research is capable of measuring what it is supposed to be measuring and the second one is the extent to which a research delivers consistent results. Validity and reliability measurement instruments are free of bias and random error. Haynes and Heiby (2004‚ p.47) propose some questions addressing sampling adequacy

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    provided or arranged by Exposure Adventure; "Services": means the provision of adventure travel tours to You by Exposure Adventure; "Ticket": means the ticket issued by Exposure Adventure confirming its acceptance of bookings placed by You; "Tour": means an adventure travel tour provided or arranged by Exposure Adventure; "Writing": includes facsimile transmissions and e-mails. 1.2 In these Conditions words importing gender include

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