"Standard deviation" Essays and Research Papers

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    Exam 1 Chapter 1 * In statistics the group we wish to study is called the population * A sample is a subset of the population which is used to gain insight about the population. Samples are used to represent a larger group‚ the population. * • Descriptive statistics – the collection‚ organization‚ analysis‚ and presentation of data. * Inferential statistics – uses descriptive statistics to estimate population parameters; an educated guess about the population based on sample

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    Assignment 2 Worksheet

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    University of Southern California Department of Economics ECON 317 Introduction to Statistics for Economists Prof. Safarzadeh Assignment # 2 Student Name: ________________ Answer all the questions on the spaces provided. Underline your answers and show your calculations and work on the tables. Item |Speed |Mileage | | |X - X |(X- X)2 |(Y-Y) |(Y-Y)2 |(X-X)(Y-Y) | | | |1 | 30 | 25 | | | | | | | | | | |2 | 50 | 20 | | | | | | | | | | |3 | 35 | 23 | | | | | | | | | | |4 | 45 | 21 | |

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    References: Bhattacharya‚ C. B. (1997). "Is your brand ’s loyalty too much‚ to little‚ or just right?" : Explaining deviations in loyalty from the Dirichlet norm. International Journal of Research in Marketing‚ 14‚ 421-435. Hesse‚ F.‚ Loesch‚ K.‚ Spies‚ Kordelia. (1997). "Store atmosphere‚ mood and purchasing behavior." International Journal of Research in Marketing‚ 14

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    week_two_psych_625_2

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    Complete Parts A‚ B‚ and C below. Part A 1. Why is a z score a standard score? Why can standard scores be used to compare scores from different distributions? 2. For the following set of scores‚ fill in the cells. The mean is 74.13 and the standard deviation is 9.98. Raw score Z score 68.0 ? ? –1.6 82.0 ? ? 1.8 69.0 ? ? –0.5 85.0 ? ? 1.7 72.0 ? 3. Questions 3a through 3d are based on a distribution of scores with and the standard deviation = 6.38. Draw a small picture to help you see what is required

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    Risk Analysis

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    TABLE OF CONTENTS CONCEPTS OF RISK AND UNCERTAINTY 1 Definition Economic Risk Economic risk is the chance of loss because all possible outcomes and their associated probabilities are unknown.Actions taken in such a decision environment are purely speculative‚ such as the buy and sell decisions made by speculators in commodity‚ futures and option markets. All decision makers are equally likely to profit as well as to lose‚ luck is the sole determinant of success or failure. 2 Definition of

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    Recession 0.1 5.5% -27.0% 27% 6% -17% 0% Below Average 0.2 5.5% -7% 13% -14% -3% Average 0.4 5.5% 15% 0 3% 10% 7.50% Above Average 0.2 5.5% 30% -11% 41% 25% Boom 0.1 5.5% 45% -21% 26% 38% 12% r(hat) - expected return 1.00% 9.80% 10.50% σ (std deviation) 0.0% 13.20% 18.80% 15.20% 3.40% CV 13.20% 1.90% 1.4% 0.50% beta -0.87% 88.00% CDIB’s economic forecasting staff has developed probability estimates for the state of the economy; and its security analysts have developed a sophisticated

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    2 (b). µa = 0.12 and σa = 0.024; 2 (c). µa = 0.12 and σa = 0.288; (d). µa = 0.12 and σa = 0.024; (e). None of the above. 2. Which of the following statements is correct? (a). Expected utility of wealth is constant on the MVS. (b). In the standard deviation and expected return space‚ the mean-variance combination line is convex while the indifference curve is concave. (c). The variance of portfolio with equal proportions of n assets tends to zero as n → ∞. (d). For portfolios of many assets‚ it

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    COFFEE USE - HEART RATE RESEARCH PROJECT COFFEE USE - HEART RATE Part 1 The study used for this project is a nursing and health sciences study. One particular healthcare facility is trying to determine if it is a good idea to provide coffee in the waiting room for the patients. There are several other facilities that serve tea‚ coffee‚ and water‚ so this health care facility wants to determine if there is sufficient evidence to show that coffee increases the patient heart rates. The question

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    | Mean | 474.0075 | Mean | 454.2225 | Mean | 106 | Median | 437 | Median | 417.5 | Median | 96 | Maximum | 975 | Maximum | 975 | Maximum | 282 | Minimum | 169.9 | Minimum | 165 | Minimum | 28 | Standard Deviation | 197.29003 | Standard Deviation | 192.5177534 | Standard Deviation | 58.2168207 | Based on the chart‚ the mean was calculated by adding up the sum of the list and divide 40‚ which the number of the total listed prices. The mean is 474‚007.5‚ which mean the average of the

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    mean (monthly) return‚ the standard deviation of return and the coefficient of correlation between the returns. Using Excel‚ produce a chart showing alternative risk-return combinations in terms of 5% (e.g. 0% in WBK and 100% in WES‚ 5% in WBK and 95% in WES‚ 10% in WBK and 90% in WES‚ etc.) from the two investments. Interpret your results‚ also in comparison to investing in either of the individual stocks. Meanwhile please also calculate the minimum standard deviation of the portfolio contains these

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