20 Leaf Unit = 1.0 9 0 124456667 (3) 1 249 8 2 128 5 3 03 3 4 27 1 5 2 Calculating Descriptive Statistics 4. Calculate descriptive statistics for the variable Height by Gender – Gender Mean Standard deviation Females 67.273 2.533 Males 69.78 4.21 Select File > Save Worksheet As to save the data set. You must either keep a copy of this data or download it again off the web site for future labs. Short Answer Writing Assignment All answers
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Gonzalez Paez Student ID --65824138 November 28‚ 2013 1. Suppose that you can trade a riskless asset that yields 5% and two risky assets A and B. The expected return of asset A is 8% and that of asset B is 11%‚ while the standard deviation of asset A is 14% and that of asset B is 23%. The covariance between assets A and B is ?0:0322. Solution . rA‚B= CovAR(A‚B) / [(σA)(σB)] = -0.0322 / (14%)(23%) rA‚B = -1 But when rA‚B = -1‚ (σp)^2 = [wA(σA) – wB(σB)]^2‚ σp = wA(σA)
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4‚ 3.9‚ 4‚ 3‚ 4.5‚ 4.9‚ 3‚ 3.3‚ 3 Mode = 4 Females 4.2‚ 4.1‚ 4.2‚ 4.6‚ 3.9‚ 4.1‚ 4.7‚ 4.1‚ 4.2‚ 4‚ 4.2‚ 4.1‚ 4‚ 4.5‚ 4.3‚ 3.9‚ 4‚ 3.7 Mode = 4.1 & 4.2 Variability Xbar –x = 4.16 – 3.85 =0.31 Standard Deviation Males Mean Deviation Deviation Squared Females Mean Deviation Deviation Squared 4 3.85 0.15 0.0225 4.2 4.16 0.04 0.0016 4.6 3.85 0.75 0.5625 4.1 4.16 -0.06 0.0036 3.2 3.85 -0.65 0.4225 4.2 4.16 0.04 0.0016 3.9 3.85 0.05 0.0025 4.6 4.16 0.44 0.1936 4.2 3.85 0.35 0.1225 3
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DGHG - CCResort Business Analytics Department’s (BAD) Report Executive Summary: The Business Analytics Department has compiled this report based on data supplied by DGHG. The purpose of this report is to use this data to answer several key questions set out by DGHG‚ along with providing information as to whether the company has been meeting its key performance indicators‚ as set out in the business plan. The questions this report will primarily address‚ are as follows: * More than
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Review Questions for the Midterm Exam Part I. All the Homeworks and Quizzes (50% of the Midterm Exam) Part II. Additional Review Questions 1. Which of the following statements is correct? a) The range is a measure of central tendency. b) The median is a measure of dispersion. c) For a symmetric distribution‚ the mean is equal to the median. d) For a skewed distribution‚ the variance is a negative number. e) The variance is a measure of central tendency. 2. After
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Instructions for Efficient-Frontier Construction a. Estimation The goal is to obtain the raw ingredients – expected returns‚ standard deviations and correlations. Historical data are used for this purpose. As a rule of thumb‚ five years of daily data are probably right (one year should be the absolute minimum). Keep in mind the following: 1) make sure to use the adjusted close prices to calculate returns (so that you won’t have large‚ spurious negative returns due to dividend payments or splits)
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24593014 | Median | 3 | Mode | 2 | Standard Deviation | 1.73898868 | Sample Variance | 3.02408163 | Kurtosis | -0.7228086 | Skewness | 0.52789598 | Range | 6 | Minimum | 1 | Maximum | 7 | Sum | 171 | Count | 50 | Frequency Distribution: | Size | Frequency | 1 | 5 | 2 | 15 | 3 | 8 | 4 | 9 | 5 | 5 | 6 | 5 | 7 | 3 | The median of the data is 3 and the mode is 2. The household size mean is 3.42. The standard deviation is 1.74 and the maximum number of customers
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available in the economy. 4.) Two factors that influence the nominal risk-free rate are: A. The relative ease or tightness in capital markets and the expected rate of inflation 5.)The total risk for a security can be measured by its: C. Standard Deviation or returns 6.) Which of the following is an underwriting function? B. Risk-bearing 7.) An ETF (exchange fund): C. Is priced continuously during the trading day 8.) Which of the following are reasons that U.S. investors should consider foreign markets
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household size data is 3.42 and the standard deviation is 1.739. According to the histogram the data is mostly skewed to the right. The Years data shows that most customers that were sampled have lived at their current location for more than ten years. There is a high concentration of customers located within the 10-18 year range and since both 14 and 18 had the most single occurrences of 5 apiece both of these are used as the mode. The standard deviation for this data is 5.086. The data
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2/8 (Friday) Standard Deviation cont’d Example: Amount of money earned by new immigrants Sample: 12‚ 15‚ 16‚ 20‚ 25‚ 36‚ 40 Step 1: Find the mean * x̄=164/7 * mean is 23.4 Step 2: Find how much each observation deviates from the mean * 12 - 23.4 = -11.4 * 15 – 23.4 = -8.4 * 16 – 23.4 = -7.4 * 20 – 23.4 = -3.4 * 25 – 23.4 = 1.6 * 36 – 23.4 = 12.6 * 40 – 23.4 = 16.6 * Note: all observations below mean will be negative‚ all above will be positive Step
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