process. There are two broad areas of statistics, one using known information the second asks for conclusions to be made from data collected. The role of statistics in the business decision-making process is inimitable. Examples can be found from the fortune 50 organization to the mom and pop shop on the corner. Define Statistics Statistics is the science of data. It involves collecting, classifying, summarizing, organizing, analyzing, and interpreting numerical information (McClave, Benson
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of data and information Data is the raw material for data processing. The data relate to facts, event and transactions. Data refers to unprocessed information. Information is data that has been processed in such a way as to be meaningful to the person who receives it. It is anything that is communicated. For example, researchers who conduct market research survey might ask a member of the public to complete questionnaires about a product or a service. These completed questionnaires are data; they
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science of collecting, organizing, analyzing, interpreting, and presenting data. Some experts prefer to call statistics data science, a trilogy of tasks involving data modeling, analysis, and decision making. In contrast, a statistic is a single measure, reported as a number, used to summarize a sample data set. Knowing statistics will make you a better consumer of other people’s data. You should know enough to handle everyday data problems, to feel confident that others cannot deceive you with spurious
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KNBS DATA DISSEMINATION AND ACCESS POLICY November 2012 VISION A centre of excellence in statistics production and management MISSION To effectively manage and coordinate the entire national statistical system to enhance statistical production and utilization Herufi House, Lt. Tumbo lane P.O. Box 30266 – 00100 GPO Nairobi, Kenya Tel: +254-20-317583/86/88,317612/22/23/51 Fax: +254 – 20-315977 Email: info@knbs.or.ke Web: www.knbs.or.ke i WI-83-1-1 Preface Kenya
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secondary data is that primary data are facts and figures that are newly collected for the project, while secondary data are facts and figures that have previously been recorded. Some advantages of secondary data are the time savings, and the low cost. disadvantages of secondary data include that the secondary data may be out of date and the categories might not be right for the researchers project. The difference between observational and questionnaire data are that observational data can be collected
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What questions should be asked? How will funding be provided? What type of training is necessary to accomplish the goal? How can we remain objective when gathering data? 4. Once we have created the design, a measurement of data collection is necessary. The data should target the audience and capture the information needed. 5. Data Collection and Preparation is another step in the research process. It
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This application is used to facilitate and document this compliance review. Research projects which meet the federal definition for research and the federal definition of human subjects must be approved by the University of Phoenix IRB before any data collection begins. If an IRB application is approved by the IRB and, later, the nature of the research design, requirements, or site locations change, a revised application describing these changes must be submitted for reconsideration and approval
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left out of the inventory. Someone else could be looking to order that particular item and if it is not in inventory and sitting on a shelf then the company would be losing money. The sales would increase and the cost would decrease. Last week the data was broke down and we looked at the amount of time that the orders were placed on hold in the five categories: Communication with the Customer, Quality Review, Engineering Review, Systematical Errors, and Pricing Review. We determined that the orders
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Research Design:.…………………………………………………………………………7 2.2. Population:.……………………………………………………………………………….7 2.3. Sample Size & Sampling Technique:.…………………………………………………....8 2.4. Instrument Development;.………………………………………………………………..8 2.5. Data collection:.………………………………………………………………………….8 2.6. Data Analysis:…………………………………………………………………………...9 References 1. INTRODUCTION Increasing globalization, making organizations to be diversified in their work force and setting work force diversification as one of the key success
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encounter, then the situation merely perpetuates and in some cases compounds. A perfect example of this is a recent situation at my job, where the terms Megabit and Megabyte were confused. Because people confuse the two, most applications measure speeds of data transfers in MB/s when they should be measuring in Mb/s. An item we were just launching was getting bad reviews because of slow transfer speeds, it was not until I pointed out the common mathematical error, and showed those I worked with what was going
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