CHAPTER 2 DATA COLLECTION AND PRESENTATION 2.1 Data Collection This section aims to: 1. Identify‚ compare and contrast the different types of data; 2. List and explain the various techniques of selecting a sample; and 3. Enumerate and illustrate the different sampling techniques Types of Data Data is a collection of facts‚ such as values or measurements. It can be numbers‚ words‚ measurements‚ observations or even just descriptions of things. Two types
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mass of filter ring and extracted sample. EQUIPMENT Centrifuge Extractor and filter rings. Balance Oven Solvent- Methylene Chloride SIEVE ANALYSIS After getting the binder content‚ Extracted aggregates are put in the sieves and sieve shaker is turn on. The extracted aggregates are separated to individual sizes. Then the individual size aggregates is weigh to get the mass. EQUIPMENT No. of Sieve Sieve shaker Balance PREPARING MARSHALL SAMPLES To achieved 135 c temperature test
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life insurance company. The study is a survey of customer satisfaction based on a sample of 600. You are asked to comment on its quality. What do you look for? The first thing that I would look for is how the sample is drawn by the consultant. 600 is a bulky sample‚ there could be many ways in which unfairness keeps into an unacceptably drawn sample. If the sample is an ease sample or other non-probability sample‚ this may perhaps call into question many of the statistical methods that were
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What is snowball sampling? Snowball sampling uses a small pool of initial informants to nominate‚ through their social networks‚ other participants who meet the eligibility criteria and could potentially contribute to a specific study. The term "snowball sampling" reflects an analogy to a snowball increasing in size as it rolls downhill [9] Snowball Sampling is a method a used to obtain research and knowledge‚ from extended associations‚ through previous acquaintances‚ "Snowball sampling uses recommendations
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asking people for their opinions in a structured way so that you can produce hard facts and statistics to guide you. To get reliable statistical results‚ it’s important to survey people in fairly large numbers and to make sure they are a representative sample of your target market.” ("What Is Quantitative Research?” 2015). There also are descriptive and statistical approach’s in this paper that will help with understand what is best for you business research. When constructing a business research there
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dependent variables (Norcross‚ Hogan‚ & Koocher‚ 2008). Experimental design is often referred to as true experimentation or true experiment design‚ is considered the “gold standard” in empirical research (Norcross et al.‚ 2008). Sampling When drawing a sample population of a larger population for testing‚ one is sampling (Sherpis et al.‚ 2010). For a
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Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented? The importance of Random sampling is that it gives a sense of equality. Each person has the same probability of being chosen as their neighbor. This sampling is trying to represent the whole population. Since it is unlikely that the research could get to everyone in the population the sampling must occurring in an accessible population‚ which is represented as
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Magnetic Swipe Identification System Today‚ magnetic swipes are mostly used by many establishments and organizations to provide both security and convenience. Hotels use these as a replacement for the key system. Schools‚ specially the universities and college campuses also use these in the form of ID swipe system. (Ramsbrock‚ D. and Moskovchenko S.‚ 2011‚ p. 4) Researchers tested University of Maryland’s Lenel System where the ID’s of the students include their Social Security Number. The
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elementary‚ and high school students. Its was founded in the year 2002. Respondents of the Study The respondents for this study were the junior students of CIS. There were 98 third year students as the total population size of the 10 sections. The sample size was determined by the formula below: h=N1+Ne2 In the of the 10 section in third year‚ 10 students were asked to answer the questionnaire is give to them. The respondents were chosen using the simple random sampling. Research
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candidates rank better on Reading and TV watching over other than PUMBA institutes. b. Other than PUMBA institutes rank higher on Music listening and chatting over the internet. c. A large chunk of the sample population rate Chatting as the most preferred activity. d. The least preferred activity of the sample is Shopping. 3. Candidates aged: a. 20-23 are most interested in Entertainment b. 24-27 are most interested in Technology c. 28 + are most interested in Business 4. Areas of Interest (Work experience-wise):
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