Chapter 3‚ Problem 3 Using published sources (for example‚ The Wall Street Journal‚ Barron’s‚ Federal Reserve Bulletin)‚ look up the exchange rate for U. S. dollars with Japanese yen for each of the past 10 years (you can use an average for the year or a specific time period each year). Japanese Yen to U. S. Dollar (Retrieved from http://research.stlouisfed.org/fred2/data/EXJPUS.txt ) Date Example - Japan Stock Price in Yen Example -
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2012 intake and March 2012 intake of the SAM students of Taylor’s College Subang Jaya campus who are taking Mathematical subject. The size of the population is 722 people. Based on the data‚ the parameters that can be measured include standard deviation‚ mean‚ and percentage. There are several problems such as some students might answer the survey more than once‚ possibly resulting in repeating data. There are also cases where not all students answer the survey as told‚ resulting in inaccuracy
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using the mean would make it appear that the “average” person makes more money than is actually the case. True or false: The standard deviation and the range are sensitive to outliers. Explain your response. (1 point) True-the standard deviation is sensitive because variability exists in a set of scores that deviate from the mean. True or false: The standard deviation can never be 0. Explain your response. (1 point) False-if the SD can be zero then the variance can also be zero. If variance of zero
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that domestic and foreign equity yields the same real return‚ with a slightly higher standard deviation for the latter one. This would imply that they would be better off investing solely on domestic equities. However‚ under the 2.a assumptions‚ since they have a 0.6 correlation‚ foreign equities will be part of the optimal portfolio. 3 – By using the estimates of expected returns‚ standard deviations and covariances among the asset classes‚ I will create N weights for each asset summing up to 100%
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real return E. Financial reward Answer: A 4(12). The fact that higher returns are associated with higher standard deviation is known as the: A. Real return factor B. Geometric relationship C. Risk-return tradeoff D. Market variance E. Market capitalization Answer: C 5(17). The frequency distribution that is completely defined by its average and standard deviation is referred to as a(n): A. Normal distribution B. Variance distribution C. Expected rate of return D. Average
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incorrectly. 3. Unless otherwise specified‚ each question is independent of the others and assumptions from one question do not carry over to the others. 4. Use of a calculator is allowed. 5. Some useful equations are printed below. (a) Standard deviation: n (ri − r¯)2 i=1 σ(r) = n−1 (b) Variance of a portfolio: σ 2 = w12 σ12 + w22 σ22 + 2w1 w2 σ1 σ2 cov(R1 ‚ R2 ) = w12 σ12 + w22 σ22 + 2w1 w2 σ1 σ2 ρ1‚2 (c) Weighted average cost of capital: W ACC = ke × D E + kd (1 − t) × V V GOOD LUCK! Q
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providing a dental insurance plan. A random sample of 12 employees reveals the following family dental expenses (in dollars): 115‚ 370‚ 250‚ 593‚ 540‚ 225‚ 177‚ 425‚ 318‚ 182‚ 275‚ and 228. Construct a 90% confidence interval estimate for the standard deviation of family dental expenses for all employees of this corporation. Place your LOWER limit‚ in dollars rounded to 1 decimal place‚ in the first blank. Do not use a dollar sign‚ a comma‚ or any other stray mark. For example‚ 123.4 would be a legitimate
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standard deviation for 2003 was $2000. What is the probability the sample mean will be within +-$300 of population mean? ! ! ! ! ! ! ! ! ! ! ! ! ! ! Question 2: Referring to Question 1‚ what is the probability the sample mean will be greater than $7500? ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Question 3: The mean television viewing time for Americans is 15 hours per week. Suppose a sample of 60 Americans is taken to further investigate viewing habits. Assume the population standard deviation for
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tools to scrutinize the market and identify the most succulent securities available for their clients‚ to accomplish this objective they utilize different mathematical and statistical calculations like arithmetic mean‚ geometric mean and standard deviation‚ this paper shows how to perform these calculations and how they could be used to identify a good investment. Additionally‚ provides an overview in formulating and justifying investment policies identifying objectives and constraint considerations
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into each of these rings every 2 meters along the trajectory is calculated‚ as well as the standard deviation. These particular elevation means and standard deviations are calculated for all the rings on every road. The values of average elevation and standard deviation refer to points which are located definitely on the roads‚ and can be used in order to determine the mean and standard deviation parameters of the Gaussian curve for each ring. The fuzzy logic Gaussian membership function is applied
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