Statistical Analysis for Quick Stab Collection Agency Executive Summary The purpose of the paper is to provide a statistical analysis of overdue bills for Quick Stab Collection Agency (QSCA). The data will be taken from accounts closed over a six month period. The goal is to determine if a correlation between the type of account‚ the amount of the bill and the days to collection exists. To determine the existence of a correlation‚ regression analysis of several variables was completed. This
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How many standard deviations is my hypothesis (sample mean) is away from the actual (null hypothesis population mean) T – statistic Rejecting the null may be a mistake = p –value ONE SAMPLE 3 formulas T.Dist.rt (t‚ sample size - 1 “df”) -> alternative that mu is bigger than a 1 – T.Dist.rt (t‚ sample size – 1) -> mu is less than a T.Dist.2t(t‚samplesize - 1) -> not equal to p < significant level reject the null NEVER accept null TWO SAMPLE directly get the p-value
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Bond Implied CDS Spread and CDS-Bond Basis Richard Zhou†‡ August 15‚ 2008 Abstract We derive a simple formula for calculating the CDS spread implied by the bond market price. Using no-arbitrage argument‚ the formula expresses the bond implied CDS spread as the sum of bond price‚ bond coupon and Libor zero curve weighted by risky annuities. We show that the bond implied CDS spread is consistent with the standard CDS pricing model if the survival probabilities and recovery are consistent
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Parameters * Population mean = μ = ( Σ Xi ) / N * Population standard deviation = σ = sqrt [ Σ ( Xi - μ )2 / N ] * Population variance = σ2 = Σ ( Xi - μ )2 / N * Variance of population proportion = σP2 = PQ / n * Standardized score = Z = (X - μ) / σ * Population correlation coefficient = ρ = [ 1 / N ] * Σ { [ (Xi - μX) / σx ] * [ (Yi - μY) / σy ] } Statistics Unless otherwise noted‚ these formulas assume simple random sampling. * Sample mean = x = ( Σ xi ) / n *
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in many branches of sciences‚ e.g. applied mathematics‚ physics‚ fluid dynamics and biology. We are to solve the following Falkner-Skan equation d3 f d2 f df + β0 f 2 + β 1 − 3 dη dη dη 2 = 0‚ 0 < η < ∞‚ (1) with the boundary condition f = 0‚ ∗ Email: at η = 0‚ jiaweiz@ZJU.edu.cn 1 (2) df = 0‚ dη df = 1‚ dη at η = 0‚ (3) at η → ∞‚ (4) in which β0 and β are constants. Current numerical methods are mainly based on shooting [1]‚ finite differences
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DF SS MS F P Regression 1 2353.31 2353.31 18.75 0.000 Error 37 4643.62 125.50 Total 38 6996.93 As x increases y increases therefore there is a positive relationship between x and y. Outlier strong effects the graph of the regression line. Regression Analysis: StockPrice versus EBITDA(B) The regression equation is StockPrice = 13.10 + 16.88 EBITDA(B) S = 8.79860 R-Sq = 59.1% R-Sq(adj) = 58.0% Analysis of Variance Source DF
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CONFIDENTIAL CS/JAN 2012/QMT500 UNIVERSITI TEKNOLOGI MARA FINAL EXAMINATION COURSE COURSE CODE EXAMINATION TIME STATISTICS FOR ENGINEERING QMT500 JANUARY 2012 3 HOURS INSTRUCTIONS TO CANDIDATES 1. This question paper consists of five (5) questions. 2. Answer ALL questions in the Answer Booklet. Start each answer on a new page. Do not bring any material into the examination room unless permission is given by the invigilator. Please check to make sure that this examination pack
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LONDON SCHOOL OF COMMERCE. | ASSIGNMENT ON ACCOUNTING AND DECISION MAKING TECHNIQUES | | QUINCY | 4/20/2011 | (A) Why is investment appraisal process so important? Answer Capital investment involves the commitment of large amounts of company resources‚ which will necessitate careful evaluation to be undertaken before a decision is reached. The investment appraisal process helps managers make the right investment decisions as regards what projects to invest in to maximize shareholders
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This file contains the exercises‚ hints‚ and solutions for Chapter 5 of the book ”Introduction to the Design and Analysis of Algorithms‚” 2nd edition‚ by A. Levitin. The problems that might be challenging for at least some students are marked by ◃; those that might be difficult for a majority of students are marked by . Exercises 5.1 1. Ferrying soldiers A detachment of n soldiers must cross a wide and deep river with no bridge in sight. They notice two 12-year-old boys playing in a rowboat by the
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Two-Sample t-Tests Connie Tyrone Walden University August 24‚ 2013 Two Sample t-Tests With this assignment‚ we are told about Martha. Martha wants to see if her relaxing technique which involves visualization will be able to assist people suffering with mild insomnia to fall asleep faster. She randomly selects 20 insomnia patients to participate in her research. She assigns 10 from the group to participate in visualization therapy and 10 from the group receives no treatment. Martha then
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