"Statistics and analysis of variance" Essays and Research Papers

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    Statistics

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    Epidemiological Rationale for Topic: Sexual risk behaviors place adolescents at risk for HIV infection‚ other sexually transmitted diseases (STDs)‚ and unintended pregnancy among U.S. school surveyed in 2011 from the Center of Diseases Control (CDC‚2011). An estimated 8‚300 young people aged 13–24 years in the 40 states reporting to CDC had HIV infection in 2009.Nearly half of the 19 million new STDs ( Sexually Transmitted Diseases) each year are among young people aged 15–24 years. More than 400

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    I. INTRODUCTION II. A. Collection of Data We encounter some difficulties upon choosing our topic; because of we have to limit our ideas and to consider the topics of the other researchers. We have to consult our selected ideas to our professor first before doing such steps like making questionnaire‚ choosing our respondents etc. When our professor approved our topic‚ we started making forms that to be answered by our respondents. The respondents‚ which are freshmen‚ stated their answers

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    1. Exercises 1.57 & 1.58. Stock performance. Page 46 How well have stocks done over the past generation? The Standard & Poor’s 500 stock index describes the average performance of the stocks of 500 leading companies. Because each return is weighted by the total market value of each companys stock‚ the index emphasizes larger companies. The file ex01 57.txt contains the real (that is‚ adjusted for the changing buying power of the dollar) returns on the S&P 500 for the years from 1971 to 2003. (a)

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    Inferential Statistics

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    3ER PARCIAL Inferential statistics Sampling * The purpose of sampling is to select a set of elements (sample) from a population that we can use to estimate parameters about the population * The bigger the sampling‚ the more accurate our parameters will be. example: In the experiment of deciding if CEGL girls are smarter that CEGL boys‚ which would be your statistical hypothesis? Hypothesis testing But now‚ you already gathered information about a sample No‚ you will test if your

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    13. Variance and Standard Deviation (expected). Using the data from problem 13‚ calculate the variance and standard deviation of the three investments‚ stock‚ corporate bond‚ and government bond. If the estimates for both the probabilities of the economy and the returns in each state of the economy are correct‚ which investment would you choose considering both risk and return? Why? ANSWER Variance of Stock = 0.10 x (0.25 – 0.033)2 + 0.15 x (0.12 – 0.033)2 + 0.50 x (0.04 – 0.033)2 + 0

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    Strategic Management Accounting APC309 Individual assignment Weighting – 100% of the marks for this module This is an individual assignment of 3‚000 words‚ excluding the bibliography and any appendices. The word count MUST be shown on the front cover of the assignment. All of the learning outcomes for the module are being assessed in this assignment. The learning outcomes are shown in the section entitled “Marking Guide”‚ which is further on in this document. The University’s

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    Descriptive Statistics

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    Leading the list was Bank of America‚ followed by JP Morgan Chase and Citibank. Following is an Excel Analysis of total assets ($ billions) of these banks using the descriptive statistics feature. Study the output and describe what you can learn about the assets of these top 100 banks from the output. Top 100 Banks in the U.S Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count 76.5411 17.93374 21.97 13.01 179.3374 32161.9 22

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    Statistic Exercises

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    it can be asserted with 98% confidence that the underlying yearly real variance of the portfol Sigma^2= 440 Ho: sigma^2 = 440 H1: sigma^2 not = 440 Statistic 4.9 With 98% confidence Lower limit 3.05348411 Upper limit 24.7249703 With 98% confidence we cannot reject Ho since the statistic is inside the acceptance zone b) Check the same hypothesis with 95% confidence

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    Case Problem Air Force Training Program An Air Force introductory course in electronics uses a personalized system of instruction whereby each student views a videotaped lecture and then is given a programmed instruction text. The students work independently with the text until they have completed the training and passed a test. Of concern is the varying pace at which the students complete this portion of their training program. Some students are able to cover the programmed instruction text relatively

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    Mathematical statistics

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    y2 > 0 ; (α + β) y α−1 (1 − y)β−1 ; (α) (β) 0<y<1 MomentGenerating Function Mean Variance θ1 + θ2 2 (θ2 − θ1 )2 12 µ σ2 β β2 (1 − βt)−1 αβ αβ 2 (1 − βt)−α v 2v (1−2t)−v/2 α α+β αβ (α + β)2 (α + β + 1) does not exist in closed form etθ2 − etθ1 t (θ2 − θ1 ) exp µt + t 2σ 2 2 Discrete Distributions Distribution Binomial Probability Function p(y) = n y p y (1 − p)n−y ; Mean Variance MomentGenerating Function np np(1 − p) [ pet + (1 − p)]n 1 p 1− p pet 1 − (1 − p)et

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