25‚ 28 26‚ 28‚ 26‚ 28‚ 31‚ 30‚ 26‚ 26 the information is to be organized into a frequency distribution. A. How many classes would you recommend? b. What class interval would you suggest? C .what lower limit would you recommend for the first class? d. organize the information into a frequency distribution and determine the relative frequency distribution. e. comment on the shape of the distribution. 15. Molly’s Candle Shop has several retail stores in the coastal areas of North and South
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Operations Strategy : Hyundai Automotive Industry Question 1. The automotive industry is one of the main ingredients of the Korean national growth. In 2004‚ Hyundai Motor Company had $57.2 billion in sales in South Korea making it the country ’s second largest corporation. It is also the world ’s seventh largest car maker. In 1998‚ Hyundai acquired rival Kia Motors. This acquisition brings the first element of the firm competitive strategy
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Executive Summary This essay will focus on the process of technological accumulation of Nissan (Japan) and Hyundai (Korea) in shaping their competitive advantage. Technological capabilities can be achieved from leveraging multinational corporations via external or internal modes. Government should also play an active role in providing institutions and supportive industrial policies to enhance the economy. Last but not least‚ a good adaptive strategy is required in order to compete in the ever-changing
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solve k = 20.275 d) P ( 17 < X < 21) P ( (17 -18)/2.5 < Z < ( 21-18)/2.5) P ( -0.4 < Z < 1.2) = 0.8849 – 0.3446 = 0.5403 ( 4 decimal places) 4. In a sample of 25 observations from a Normal Distribution with mean 98.6 and standard deviation 17.2‚ find: Ans: a) n = 25‚ [pic] = ( = 98.6‚ [pic] = /n = 17.2/(25 = 3.44 [pic]( N
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THE ROAD TO THE SELF-RELIANCE NEW PRODUCT DEVELOPMENT OF HYUNDAI MOTOR COMPANY June 1995 Young-suk Hyun Ph.D Professor‚ Business Administration Han Nam University Taejon KOREA 133 Ojung-dong Taejon 300-791‚ KOREA Tel : 82-42-629-7588 Fax : 82-42-672-7183 1 THE ROAD TO THE SELF-RELIANCE NEW PRODUCT DEVELOPMENT OF HYUNDAI MOTOR COMPANY 1. Introduction 2. Hyundai ’s Philosophy in New Product Development (NPD): The Road to the Technological Self-reliance 3 Key Role Persons
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The Poisson distribution is a discrete distribution. It is often used as a model for the number of events (such as the number of telephone calls at a business‚ number of customers in waiting lines‚ number of defects in a given surface area‚ airplane arrivals‚ or the number of accidents at an intersection) in a specific time period. It is also useful in ecological studies‚ e.g.‚ to model the number of prairie dogs found in a square mile of prairie. The major difference between Poisson and Binomial
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Mathematics): Survival distributions Age-at-death random variable T0 – age-at-death (lifetime for newborn) random variable To completely determine the distribution of T0 ‚ we may use (for t ≥ 0)‚ (1) (cumulative) distribution function: F0 (t) = Pr(T0 ≤ t) (2) survival function: s0 (t) = 1 − F0 (t) = Pr(T0 > t) (3) probability density function: f0 (t) = F0 (t) = (4) force of mortality: µ0 (t) = d F0 (t) dt f0 (t) −s0 (t) = 1 − F0 (t) s0 (t) Requirements: (1) For distribution function‚
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expected average outcome over many observations.The common symbol for the mean (also known as the expected value of X) is ‚ formally defined by Variance - The variance of a discrete random variable X measures the spread‚ or variability‚ of the distribution‚ and is defined by The standard deviation is the square root of the variance. Expectation - The expected value (or mean) of X‚ where X is a discrete random variable‚ is a weighted average of the possible values that X can take‚ each value
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A population of measurements is approximately normally distributed with mean of 25 and a variance of 9. Find the probability that a measurement selected at random will be between 19 and 31. Solution: The values 19 and 31 must be transformed into the corresponding z values and then the area between the two z values found. Using the transformation formula from X to z (where µ = 25 and σ √9 = 3)‚ we have z19 = (19 – 25) / 3 = -2 and z31 = (31 - 25) / 3 = +2 From the area between z =±2 is 2(0
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Normal Distribution It is important because of Central Limit Theorem (CTL)‚ the CTL said that Sum up a lot of i.i.d random variables the shape of the distribution will looks like Normal. Normal P.D.F Now we want to find c This integral has been proved that it cannot have close form solution. However‚ someone gives an idea that looks stupid but actually very brilliant by multiply two of them. reminds the function of circle which we can replace them to polar coordinate Thus Mean
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