histogram of the 1990 returns. (ii) Produce a histogram of the 1998 returns. (iii) Find the mean‚ median‚ range and standard deviation for the 1990 returns. Annual Returns % (1990) Mean 12.91865979 Median 11.38 Standard Deviation 9.297513067 Range 75.01 (iv) Repeat part (iii) for the 1998 returns. Annual Returns % (1998) Mean 6.355463918 Median 5.4 Standard Deviation 5.170830853 Range 42.76 (v) Which was the better year for investors? • 1990 was the better year for investors in
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which component should get it to obtain the highest overall reliability? 17. A major television manufacturer has determined that its 19-inch color TV picture tubes have a mean service life that can be modeled by a normal distribution with a mean of six years and a standard deviation of one-half year. a. What probability can you assign to service lives of at least (1) Five years? (2) Six years? (3) Seven and one-half years? b. If the manufacturer offers service contracts of four years on these
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Chapter 12 Problems 1. Cash flow (LO2) Assume a corporation has earnings before depreciation and taxes of $100‚000‚ depreciation of $50‚000‚ and that it has a 30 percent tax bracket. Compute its cash flow using the format below. Earnings before depreciation and taxes _____ Depreciation _____ Earnings before taxes _____ Taxes @ 30% _____ Earnings after taxes _____ Depreciation _____
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Standard Deviation in the Business World QRB/501 Abstract On Standard Deviations in Job Performance The purpose of this study was to compare the expected payoffs from personnel programs based on standard deviation of job performances in dollars‚ the Global Estimation model‚ and the CREPID procedure. The study was done for route salesmen of a large soft drink bottling company. The Global Estimation model and the CREPID procedure were behaviorally based‚ where the standard deviation of job performance
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13. Variance and Standard Deviation (expected). Using the data from problem 13‚ calculate the variance and standard deviation of the three investments‚ stock‚ corporate bond‚ and government bond. If the estimates for both the probabilities of the economy and the returns in each state of the economy are correct‚ which investment would you choose considering both risk and return? Why? ANSWER Variance of Stock = 0.10 x (0.25 – 0.033)2 + 0.15 x (0.12 – 0.033)2 + 0.50 x (0.04 – 0.033)2 + 0
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(a) Suppose we take a random sample of size 100 from a discrete distribution in this manner: A green die and a red die are thrown simultaneously 100 times and let Xi denote the sum of the spots on the two dice on the ith throw‚ i = 1‚ 2‚...100. Find the probability that the sample mean number of spots on the two dice is less than 7.5. n = 100 µ = 7 µ[pic] = 7 σ = 2.41 σ[pic] = 2.41 /[pic] |X |2 |3
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score decreases by -0.347 average number of hours per week. Next‚ we have to interpret the random error component ( ) of the least squares line. The estimate of error standard deviation for this particular data set is 12.28455 which suggests that the work-life balance score (y) values should be two times of the standard deviation. This can be best expressed as in the equation of 2s = 2(12.28455) which equals 24.57 average hours per week. Then‚ we can analyze the accuracy of hypothesis model to
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Unit 6. Normal Distribution Solution to problems Statistics I. International Group Departamento de Economa Aplicada Universitat de Valncia May 20‚ 2010 Problem 35 Random variable X : weekly ticket sales (units) of a museum. X ∼ N(1000‚ 180) Find the probability of weekly sales exceeding 850 tickets. Find the probability of the interval 1000 to 1200 Take 5 weeks at random. Find the probability of weekly sales not exceeding 850 tickets in more than two weeks Ticket price is 4.5 Euros
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Standard Deviation use in the Business World Abstract This paper evaluates the role of standard deviation in business. As part of the evaluation‚ a brief summary of five different peer reviewed papers has been presented. Topics such as‚ the purpose of the study‚ the research questions‚ the hypothesis of the study‚ and the main findings of the study for the five papers‚ have been summarized by each of the learning team members. Standard Deviation use in the Business World Standard Deviation
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Inferences for One Population Standard Deviation The Standard deviation is a measure of the variation (or spread) of a data set. For a variable x‚ the standard deviation of all possible observations for the entire population is called the population standard deviation or standard deviation of the variable x. It is denoted σx or‚ when no confusion will arise‚ simply σ. Suppose that we want to obtain information about a population standard deviation. If the population is small‚ we can often determine
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