Department of Business Administration Rosary College of Commerce & Arts 2013-2014 A simple random sample A simple random sample is obtained by choosing elementary units in search a way that each unit in the population has an equal chance of being selected. A simple random sample is free from sampling bias. However‚ using a random number table to choose the elementary units can be cumbersome. If the sample is to be collected by a person untrained in statistics‚ then instructions may be misinterpreted
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prediction about the relationship between two or more variables Contains the IV and the DV and population about which the researcher intends to draw conclusions (IPAD) The population is the entire group of research interest from which a sample is drawn; the sample is a subsection of the population who participate in the research Eg “it is predicted that caffeine will improve the memory of adults.” Here the IV is caffeine ‚ the DV is memory and the population is adults Operationalized variables –
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RESEARCH Research is defined as the creation of new knowledge and/or the use of existing knowledge in a new and creative way so as to generate new concepts‚ methodologies and understandings. This could include synthesis and analysis of previous research to the extent that it leads to new and creative outcomes. This definition of research is consistent with a broad notion of research and experimental development (R&D) as comprising of creative work undertaken on a systematic basis in order to
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Random sample It is often not necessary to survey the entire population. Instead‚ you can select a random sample of people/or firms from the population and survey just them. You can then draw conclusions about how the entire population would respond based on the responses from this randomly selected group of people. This is exactly what political pollsters do - they ask a group of people a list of questions and based on their results‚ they draw conclusions about the population as a whole with
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Non-Probability Sampling: When the units of a sample are chosen so that each unit in the population does not have a calculable non-zero probability of being selected in the sample‚ this is called Non-Probability Sampling. Also‚ Non-probability sampling is a sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected. In contrast with probability sampling‚ non-probability sample is not a product of a randomized selection
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CHAPTER 1: INTRODUCTION AND DATA COLLECTION 1. The process of using sample statistics to draw conclusions about true population parameters is called a) statistical inference. b) the scientific method. c) sampling. d) descriptive statistics. ANSWER: a TYPE: MC DIFFICULTY: Easy KEYWORDS: inferential statistics 2. Those methods involving the collection‚ presentation‚ and characterization of a set of data in order to properly describe the various features of that set of data are called a) statistical
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population of interest so that by studying the sample we may fairly generalize our results back to the population from which they were chosen. Let’s begin by covering some of the key terms in sampling like "population" and "sampling frame." Basic Concepts Of Sampling With a single grain of rice‚ an Asian housewife tests if all the rice in the pot has boiled; from a cup of tea‚ a tea-taster determines the quality of the brand of tea; and a sample of moon rocks provides scientists with information
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DATA COLLECTION Business Statistics Math 122a DLSU-D Source: Elementary Statistics (Reyes‚ Saren) Methods of Data Collection 1. 2. 3. 4. 5. DIRECT or INTERVIEW METHOD INDIRECT or QUESTIONNAIRE METHOD REGISTRATION METHOD OBSERVATION METHOD EXPERIMENT METHOD DIRECT or INTERVIEW Use at least two (2) persons – an INTERVIEWER & an INTERVIEWEE/S – exchanging information. Gives us precise & consistent information because clarifications can be made. Questions not fully understood by the respondent
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of selecting a subset of population representing the whole. From the chosen sample after the research study result is taken out which is then generalized and generalizability depends upon the nature of result taken out from study and the design of the research. Concerning to Quantitative data the sampling can be implemented for probability and statistics‚ and the entire population can be highly represented by the sample while Qualitative data mostly give information about social events and is not
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research included defining the population from which the samples were collected. When it comes to the population and the different samples collected‚ the main goal is to focus on customers and provide outstanding services by conducting customer interviews‚ and surveys including group interviews of all ages. There are several methods that have taken place concerning collecting samples. The individual interviews we have collected were samples by applying surveys‚ from face to face interviews
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