marion

. G-UNITJOSEF MARION P. RAMOS- 1355 Algeciras Street, Sampaloc, Manila, 731-67-37CAREER OBJECTIVE:To obtain a position in the field of Broadcasting that would best fit ,my qualifications and utilize my talents and skills in your company.QUALIFICATIONS:· Possesses excellent interpersonal and communication skills · Is Creative and organized · Is knowledgeable in basic office operations · Excellent in computer operationsEDUCATION:2002 – 2007 CENTRO ESCOLAR UNIVERSITY Mendiola, Manila AB Mass Communication Major in Broadcasting 1998 – 2002 PERPETUAL HELP COLLEGE MANILA Sampaloc, Manila Secondary Education1991 – 1998 DOMINICAN SCHOOL MANILA Sampaloc, Manila Primary EducationEXTRACURRICULAR ACTIVITIES:Dramatic Guild Participant , Theater Arts Production, Actor , Production Assistant, Director Phil. Trip CEU Video Fest 2005WORK EXPERIENCE: July 2006 – October 2006 Office of the Press Secretary Malacañang, Manila Position Held: On –The -Job Trainee as Radio Broadcast Monitors Job Description: Office Routine Radio News Monitoring Transcription of NewsPERSONAL:Age: 21 Height: 5’7 Weight: 150 lbs. Status: Single Father: Danilo Baer Ramos – Hotel Employee Mother: Noemi Padida Ramos – HousewifeFUTURE PLANS:Summer 2007: To work in a Broadcasting station preferably Television / Radio production.2009 – 2011: Working in a job at Television / Radio productionCHARACTER PREFERENCES:Christopher Jay Cortado CEU, ProfessorDr. Eliseo Cuevas CEU, ProfessorJun Nebrao Coordinator, Office of the Press Secretary Malacañang, ManilaIn quota sampling, the population is first segmented into mutually exclusive sub-groups, just as in stratified sampling. Then judgement is used to select the subjects or units from each segment based on a specified proportion. For example, an interviewer may be told to sample 200 females and 300 males between the age of 45 and 60. It is this second step which makes the technique one of non-probability sampling. In quota sampling the selection of the sample is non-random. For example interviewers might be tempted to interview those people in the street who look most helpful. The problem is that these samples may be biased because not everyone gets a chance of selection. This non-random element is its greatest weakness and quota versus probability has been a matter of controversy for many years. Quota sampling is useful when time is limited, sampling frame is not available, research buget is very tight or when detailed accuracy is not important.