STAT 231 (Winter 2012 - 1121) Honours Statistics Prof. R. Metzger University of Waterloo A LTEXer: W. Kong Last Revision: April 3‚ 2012 Table of Contents 1 PPDAC 1.1 1.2 1.3 1.4 1.5 2 Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Plan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Analysis . . . . .
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59 34 49 27 33 18 35 20 a. Age Weeks Employed Mean 37.75 Mean 18.6875 Standard Error 2.974195 Standard Error 2.188452 Median 37.5 Median 18.5 Mode 25 Mode 21 Standard Deviation 11.89678 Standard Deviation 8.753809 Sample Variance 141.5333 Sample Variance 76.62917 Kurtosis -1.17143 Kurtosis -0.21626 Skewness 0.337402 Skewness 0.522601 Range 36 Range 30 Minimum 23 Minimum 6 Maximum 59 Maximum 36 Sum 604 Sum 299 Count 16 Count 16 Confidence Level(99.0%) 8.764138 Confidence Level(99
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Using the simple regression model to explain the relationship between 3-Month T-bill rate and Dow Jones Index Index 1. Introduction………………………………………………3 2. Modeling the relationship between the 3-Month T-bill rates and Dow Jones Index (First Model)……………………3 3. Hypothesis and Testing…………………………………...4 4. Empirical Analysis………………………………………...5 5. Further Comparison………………………………………5 6. Conclusion…………………………………………………7 7. Appendix……………………………………………………8 8. Reference…………………………………………………
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EXERCISE 29 t-TEST FOR INDEPENDENT GROUPS I STATISTICAL TECHNIQUE IN REVIEW The t-test is a parametric analysis technique used to determine significant differences between the scores obtained from two groups. The t-test uses the standard deviation to estimate the standard error of the sampling distribution and examines the differences between the means of the two groups. Since the t-test is considered fairly easy to calculate‚ researchers often use it in determining differences between two groups
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X has a chi-square distribution with n degrees of freedom. Therefore E(Y) = E(X) = E(X) = n. Proposition 3. If X has a chi-square distribution with n degrees of freedom‚ then the variance of X is X2 = E((X - X)2) = 2n. If Y/ has a chi-square distribution with n degrees of freedom‚ then the variance of Y is Y2 = 2n2. Proof. Since X ~ (n/2‚2) it follows from Proposition 3 of section 2.2 that X2 = (n/2)(22) = 2n. One has Y/ = X where X has a chi-square distribution
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CAPM essay In the second scenario BBBY would use its $400 million in excess cash and borrow the remaining funds until Question 2 a) We will need to calculate the debt-to GDP ratio for each year separately in order to compute the total accumulation. The following equations and variables are used in question a) Year 1 Year 2 Year 3 Year 4 Year 5 Therefore‚ after 5 years the debt-to-GDP ratio will be equal to 104‚8 % (rounded to one decimal) b) The
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Bone Marrow Transplantation (Sibling vs. non-sibling donor) Dominika Giertlova‚ Petra Cerovska Peta_cet@yaoo.com Luba Habodaszova BC303 Project December 10‚ 2011 Introduction: We have obtained data from Antolska Hospital in Bratislava from Hematologic
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CHAPTER 7—SAMPLING AND SAMPLING DISTRIBUTIONS MULTIPLE CHOICE 1. From a group of 12 students‚ we want to select a random sample of 4 students to serve on a university committee. How many different random samples of 4 students can be selected? a.|48| b.|20‚736| c.|16| d.|495| ANS: D 2. Parameters are a.|numerical characteristics of a sample| b.|numerical characteristics of a population| c.|the averages taken from a sample| d.|numerical characteristics of either a sample or a population| ANS:
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projection pursuit directions. The statistical properties of the estimators based on such contrast functions are analyzed under the assumption of the linear mixture model‚ and it is shown how to choose contrast functions that are robust and/or of minimum variance. Finally‚ we introduce simple fixed-point algorithms for practical optimization of the contrast functions. These algorithms optimize the contrast functions very fast and reliably. 1 Introduction A central problem in neural network research
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Operations Management Listen-Up.com Case introduction Mai Chen‚ fresh from business school‚ has been hired by Listen-Up.com‚ a small‚ start-up manufacturer of hearing aids‚ to resolve the difficulties within its customer service group. The company’s products are sold over the Internet or phoned in using the company’s toll-free telephone lines‚ but telephone orders is the main and growing sales channel. During its three years of existence the company has experienced rapid growth with the
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