Eynesbury: Quantitative Methods for Business 2011(3) Assignment 2: Due Monday 16th January 2012 at 5:00pm The assignments are to be submitted via the submission link on the Portal. Any submission handed to your teacher in paper form will not be accepted without prior written approval. E-mail versions of the assignment will not be accepted. Assignments submitted late‚ without an extension being granted‚ will attract a penalty of 10% per each working day or part thereof beyond the due
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numerical methods of descriptive statistics‚ one can learn how these variables play a part in the success of a motion picture. Opening Weekend Gross Sales After calculating several central tendency measures (mean‚ median‚ and mode)‚ one can create a histogram and see the opening weekend gross sales are heavily skewed to the right. The median opening gross sales of 0.39‚ indicating 50% of the opening gross sales values were less than 0.39 and 50% were greater than 0.39‚ would be a more appropriate central
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This would allow random numbers to be generated every time the spreadsheet is refreshed. 2. Simulate 1000 iterations of the two strategies over the six-year period. Create a histogram of the final fund values. Based on your simulation results‚ which of the two strategies would you recommend? Why? Below are the histograms of the two strategies’ fund values: Our group would recommend the first strategy. Although this strategy has a higher
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Using Research and Statistics in Health Care *14 this topic addresses the following learning objectives: * Explain the role of research in developing knowledge for use in health care evidence-based practice situations. * Identify several ways that research can influence healthcare policy. * Identify peer-reviewed healthcare research articles. * Differentiate between descriptive and inferential research questions in a peer-reviewed article on healthcare research. * Identify
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curve could lead to an easier way to find solutions to probabilities of‚ “60 or more heads out of 100 coin flips.” Along with this idea‚ Abraham de Moivre came up with a model that has a drawn curve through the midpoints on the top of each bar in a histogram of normally distributed data‚ which is called‚ “Normal Curve.” One of the first applications of the normal distribution was used in astronomical observations‚ where they found errors of measurement. In the seventeenth century
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relatively heavy. This signifies that there are no extreme frequencies in the distribution. The frequencies for all levels of income are comparatively “flat” or the frequencies for each level of income are almost the same/not varying too much. The histogram shows that there are two modes. Each mode comes from both sides of the graph. Ten households have incomes from 100‚000.00 to 200‚000 and the other ten have incomes from 700‚000.00-800‚000.00. Also‚ it is seen that there are few
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ST 101 Practice Problems Exam 1 Material covered: Chapters 1-7 in text. Reiland Important Note: While most of the questions on this sample exam are in a multiple choice format‚ the questions on the exam will for the most part be partial credit type questions where you must show some work to obtain full credit. 1. The heights of American men aged 18 to 24 can be described by a Normal model with mean 68 inches and standard deviation 2.5 inches. Half of all young men are shorter than a) 65
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The world is filled with uncertainties. Consumer prices‚ economic fluctuations‚ political candidate popularity‚ water quality‚ portfolio investment management‚ and everyday decisions‚ among others‚ are often ambiguous‚ unclear‚ and indeterminate. Statisticians help individuals resolve the vagueness of life by developing characterizations and drawing conclusions surrounding these questions (American Statistical Association [ASA]‚ 2008). Statistics is a division of mathematics that centers on the collection
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DOE - Design of Experiment DOE is an approach used to identify factors/steps that are contributing most to an observed variation in product specifications. The classical DOE focuses on identifying the factors that affect the level of a product/process response‚ examining the response and forming the mathematical prediction model. The modern DOE‚ introduced by Genichi Taguchi in early 1980s‚ applies in both product and process development to identify the factors that affect the variability of the
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unordered list. 2. To explain the concept of the shape of a set of numbers and the vocabulary used to describe shapes‚ and why it is useful to know something about the shape. 3. To learn the details of how to construct stem-and-leaf plot‚ histograms and boxplots and how to compute various numerical measures. 4. To discuss what kinds of summaries are best for various kinds of measurements. Section 7.1 Turning Data into Information Four kinds of useful information about a set of data:
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