Homework 3 Probability 1. As part of a Pick Your Prize promotion‚ a store invited customers to choose which of three prizes they’d like to win. They also kept track of respondents’ gender. The following contingency table shows the results: | MP3 Player | Camera | Bike | Total | Men | 62 | 117 | 60 | 239 | Woman | 101 | 130 | 30 | 261 | Total | 163 | 247 | 90 | 500 | What is the probability that: a. a randomly selected customer would pick the camera? 247/500= 0.494=
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NAME: SHU ZHAOHUI ID: 17329164 Q5. Descriptive Statistics | | N | Minimum | Maximum | Mean | Std. Deviation | Skewness | | Statistic | Statistic | Statistic | Statistic | Statistic | Statistic | Std. Error | Gasolinescore | 1000 | 3.00 | 21.00 | 14.9090 | 4.83654 | -.493 | .077 | Globalscore | 1000 | 3.00 | 21.00 | 17.0490 | 3.78774 | -1.073 | .077 | Valid N (listwise) | 1000 | | | | | | | The mean in the gaslinescore and globalscore stand for the average the respondents choose is
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------------------------------------------------- ------------------------------------------------- Research Paper ------------------------------------------------- THE PROBABILITY OF FINANCIAL CRISIS IN THE USA IN 2012-2013 ------------------------------------------------- Ilias Habbasov ------------------------------------------------- ------------------------------------------------- BBA course submitted to Elżbieta Jendrych‚ PhD on 3 December 2012 Winter Semester 2012/2013
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longer lasting than if it had been controlled by the nervous system. Diabetes Type 1 Diabetes Type 1 Diabetes is an auto-immune disease where the body’s immune system attacks the insulin-producing cells of the pancreas. People with type 1 diabetes cannot produce insulin and require a lifetime of insulin injections for survival. The disease can occur at any age‚ although it mostly occurs in children and young adults. Type 1 diabetes can also be called ‘juvenile onset diabetes’ or ‘insulin dependent
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the patient within 5 years of the onset of type 1 diabetes and at the time of diagnosis of type 2 diabetes. Yearly screenings should be completed thereafter. Testing for excretion of albumin is used for the screening of diabetic nephropathy. Microalbuminuria‚ or small amounts of albumin in the urine‚ is the earliest manifestation of nephropathy. Annual testing for 5 years for patients is recommended for patients who have had type 1 and for everyone with type 2. (Ignatavicius & Workman‚ 2012). Screenings
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Karan negi 12.2 12.3 We use equation 2 to find out probability: F(t)=1 – e^-Lt 1-e^-(0.4167)(10) = 0.98 almost certainty. This shows that probability of another arrival in the next 10 minutes. Now we figure out how many customers actually arrive within those 10 minutes. If the mean is 0.4167‚ then 0.4167*10=4.2‚ and we can round that to 4. X-axis represents minutes (0-10) Y-axis represents number of people. We can conclude from this chart that the highest point with the most visitors
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normal rat‚ and on a rat that has been induced with Type 1 diabetes. Type 1 diabetes is an autoimmune disorder in which the body attacks the insulin producing beta cells of the pancreas. The pancreas is then incapable of producing insulin‚ and thus the body’s blood glucose levels become elevated.[iii] Hypothesis Based on the given information for type 1 diabetes‚ in this report‚ a hypothesis can be made that insulin given to a subject with type 1 diabetes would help lower his or her blood glucose
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results based on the initial data generated. Make sure to include all your work in the final report submitted. You will submit your final work (Report and Spreadsheet on Bb Learn) PART I: Sample Generation- data presentation and data summary (25 ) 1. Use the Data Set provided to you by your Instructor (No Two Groups can do the Same Dataset) 2. Write down a ‘Research Problem’ (Hypothesize a question about the data – what do you want to study- which variable(s)?) 4 points Age‚ blood pusher 3. Summarize
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Type I and II errors Mistakenly rejecting the null hypothesis is a type 1 error. These errors are not avoidable and are part of statistical testing‚ but we can lessen the occurrence by setting the significance at a lower level. However‚ by setting the significance level lower; let us say .001‚ we then increase the chance of type 2 errors. Failing to correctly reject the null hypothesis creates a type 2 error‚ this is because; according to Aron (2009) “with an extreme significance level like
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Math 107 002 Homework 5 (due 13 Oct 2011) Fall 2011 Please use your calculators and give your final answers to 3 significant figures. Show your work for full credit. Please state clearly all assumptions made. 1. Classify each random variable as discrete or continuous. (a) The number of visitors to the Museum of Science in Boston on a randomly selected day. (b) The camber-angle adjustment necessary for a front-end alignment. (c) The total number of pixels in a photograph produced by a digital camera
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