Case 8-28. Evaluating a Company’s Budget Procedures. 1. Identify the problems that exist in Ferguson & Sons Manufacturing Company’s budgetary control system and explain how the problems are likely to reduce the effectiveness of the system. The overall company’s strategy is not well defined by executives and communicated to the management. There is no goal other the cost reduction at total company level as well as at departmental level. Managers don’t see connection between expenses‚ revenues
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Part 1 of 1 - | Question 1 of 10 | 1.0 Points | Consider the following scenario in answering questions 1 through 4. Results from previous studies showed 79% of all high school seniors from a certain city plan to attend college after graduation. A random sample of 200 high school seniors from this city reveals that 162 plan to attend college. Does this indicate that the percentage has increased from that of previous studies? Test at the 5% level of significance. State the null and alternative
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of paper. Please highlight your answers so we can find them easily. 1. Compute and report the mean returns‚ variances‚ and standard deviations for the two stocks. In addition‚ compute the covariance and the correlation between the two stock returns. Report all numbers as annualized. (Hint: annualized variance is equal to 12*monthly variance. Also‚ please do not report variances and covariances in %‚ which would not make sense.) 2. Plot the mean-standard deviation graph for a portfolio
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been reviewing random variables. RVs have certain properties such as mean that measures the center‚ and variance that measures the dispersion. We would like to make claims about these properties and test them using statistical methods. Over the past years‚ Wall Street has been very interested in the volatility of the stocks. In this case‚ we would want to make sound claims about variances. We start with a null hypothesis Ho‚ which is the claim that we will test. It looks as such: In this
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c. X is a zero mean Gaussian random variable with variance σ 2 . 4.100 Let X be the number of successes in n Bernoulli trials where the probability of success is p. Let Y = X/n be the average number of successes per trial. Apply the Chebyshev inequality to the event {|Y − p| > a}. What happens as n → ∞? 4.102 a. Find the characteristic function of the random variable X uniformly distributed over [−b‚ b). b. Find the mean and variance of X by applying the moment theorem. 4.105 modified
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probability (7%) 1. Let the random variable X follow a Binomial distribution with parameters n and p. We write X ~ B(n‚p). * Write down all basic assumptions of Binomial distribution. * Knowing the p.m.f. of X‚ show that the mean and variance of X are = np‚ and 2 = np(1 – p)‚ respectively. 2. A batch contains 40 bacteria cells and 12 of them are not capable of cellular replication. Suppose you examine 3 bacteria cells selected at random without replacement. What is the probability
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Lecture Notes in Financial Econometrics (MSc course) Paul Söderlind1 1 January 2013 of St. Gallen. Address: s/bf-HSG‚ Rosenbergstrasse 52‚ CH-9000 St. Gallen‚ Switzerland. E-mail: Paul.Soderlind@unisg.ch. Document name: FinEcmtAll.TeX 1 University Contents 1 Review of Statistics 1.1 Random Variables and Distributions . . . . . . . . . . . . . . 1.2 Moments . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 Distributions Commonly Used in Tests . . . . . . . . . . . . . 1
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a number of other analysis methods as special cases. We will assume that you are familiar with the basic logic of statistical reasoning as described in Elementary Concepts. Moreover‚ we will also assume that you are familiar with the concepts of variance‚ covariance‚ and correlation; if not‚ we advise that you read the Basic Statistics section at this point. Although it is not absolutely necessary‚ it is highly desirable that you have some background in factor analysis before attempting to use structural
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Normal Distribution Normal distribution is a statistics‚ which have been widely applied of all mathematical concepts‚ among large number of statisticians. Abraham de Moivre‚ an 18th century statistician and consultant to gamblers‚ noticed that as the number of events (N) increased‚ the distribution approached‚ forming a very smooth curve. He insisted that a new discovery of a mathematical expression for this curve could lead to an easier way to find solutions to
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Global Asset Allocation Finance 656 (Please return to Fang Song’s locker #552) Michelle Bien Yushao Karen Chiu Srinivas Mudireddy Fang (Derek) Song‚ 12/08/2013 A Study on stock returns and volatility Abstract This paper applies two models to examine the intertemporal relationship between expected returns and market risk. By using ARIMA models‚ two findings can be found: 1) A positive correlation exists between the expected market risk premium and the predictable volatility. 2)
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