Unit 6. Normal Distribution Solution to problems Statistics I. International Group Departamento de Economa Aplicada Universitat de Valncia May 20‚ 2010 Problem 35 Random variable X : weekly ticket sales (units) of a museum. X ∼ N(1000‚ 180) Find the probability of weekly sales exceeding 850 tickets. Find the probability of the interval 1000 to 1200 Take 5 weeks at random. Find the probability of weekly sales not exceeding 850 tickets in more than two weeks Ticket price is 4.5 Euros
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Chapter 12 ********** 22‚ 32‚ 40 Evan Lee Turner #22 Random samples of five were selected from each of three populations. The sum of squares total was 100. The sum of squares due to the treatments was 40. a. Set up the null hypothesis and the alternate hypothesis. b. What is the decision rule? Use the .05 significance level. c. Complete the ANOVA table. What is the value of F? d. What is your decision regarding the null hypothesis?
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SSCE 2193 Engineering Statistics Semester 2‚ Session 2012/2013 ASSIGNMENT (10%) Instructions: a. This is a GROUP assignment. b. Each student must be a member of a group of 4 or 5 students‚ selected by lecturer. c. Solutions from each group must be submitted by 19 April 2013. SPECIAL DISTRIBUTIONS I. Concept of probability (3%) 1. Explain why the distribution B(n‚p) can be approximated by Poisson distribution with parameter if n tends to infinity‚ p 0‚ and =
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PROBLEM SET 3 Name: ________________________________________ Problem Set 3 is to be completed by 11:59 p.m. (ET) on Monday of Module/Week 6. 1. Data for the market for graham crackers is shown below. Calculate the elasticity of demand between the following prices. Price of crackers Quantity Demanded (per month) $3 80 $2.5 120 $2 160 $1.5 200 $1 240 $1.00 - $1.50: ___________________________________ $1.50 - $2.00: ___________________________________ $2.00 - $2.50: ___________________________________
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Descriptive Statistic Article Critique Liza Fisher PSY325/ Statistics for the Behavioral & Social Sciences Instructor: Thomas King May 23‚ 2015 Descriptive Statistic Article Critique The author was trying to say that men who consume an enormous amount of alcohol every day and who is stable socially do not have a different personality‚ than those men who are socially stable and do not drink alcohol. In this article the hypothesis is that individual males who consume a great deal of
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Interval Problem Answers AP Statistics Quiz A – Chapter – Key A statistics professor asked her students whether or not they were registered to vote. In a sample of 50 of her students (randomly sampled from her 700 students)‚ 35 said they were registered to vote. 1. Find a 95% confidence interval for the true proportion of the professor’s students who were registered to vote. (Make sure to check any necessary conditions and to state a conclusion in the context of the problem.) We have
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1. Were the groups in this study independent or dependent? Provide a rationale for your answer. Independently due to the data being collected independently 2. t = −3.15 describes the difference between women and men for what variable in this study? Is this value significant? Provide a rationale for your answer. t = -3.15 describes mental health in this study. This is significant because mental health plays a big role in the outcome of MI patients. 3. Is t = −1.99 significant? Provide a
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Course paper in Philosophy of Science and Ethics Title: The relevance of Statistics and Probability for the study of the thermodynamics properties (The Maxwell-Boltzmann Theory) Abstract There are many philosophical debates as to the appropriateness of the use of statistics and probability as scientific research measures. Many renowned philosophers believe that since scientific investigation aims at the ultimate goal of presenting truth about the observations and processes in our universe
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Chapter 4 Descriptive Statistics Upload the completed assignment using the file extension format Lastname_Firstname_Week3.doc. Assignment (32 points due by 11 pm October 14th) 1) The file ‘FastFood’ contains the amount that a sample of nine customers spent for lunch (in $) at a fast food restaurant. a) Compute the mean and the median. b) Compute the variance‚ standard deviation‚ range‚ and co-efficient of variation. c) Are the data skewed? If so‚ how? 2) The file ‘ChocolateChip’
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Descripitive Statistics Paper Descriptive Statistics Paper Laura L. Mason‚ Becky Matlock‚ and Nichole Noble RES/341 June 15‚ 2011 David Morrisson Descriptive Statistics Paper Major League Baseball is known as America’s favorite pastime‚ and MLB teams spend an extensive amount of money in the excess of a billion dollars with the ultimate goal to win the World Series. This learning team’s focus throughout this descriptive statistics paper is the MLB players’ performances‚ salaries‚ salary
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