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    Normal Distribution

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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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    Normal Distribution

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    standard deviation = square root of variance = sqrt(846) = 29.086 4. If we have the following data 34‚ 38‚ 22‚ 21‚ 29‚ 37‚ 40‚ 41‚ 22‚ 20‚ 49‚ 47‚ 20‚ 31‚ 34‚ 66 Draw a stem and leaf. Discuss the shape of the distribution. Solution: 2 3 4 5 6 | | | | | 219200 48714 0197 6 This distribution is right skewed (positively skewed) because the “tail” extends to the right. 5. What type of relationship is shown by this scatter plot? 45 40 35 30 25 20 15 10 5 0 0 5 10 15 20 Solution: Weak positive linear

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    Frequency Distribution

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    FREQUENCY DISTRIBUTION WHAT IT IS Frequency distributions summarize and compress data by grouping it into classes and recording how many data points fall into each class. That is‚ they show how many observations on a given variable have a particular attribute. For example‚ a survey is taken of 50 people’s favorite color. The frequency distribution might indicate 15 people selected green‚ 12 blue‚ 6 red‚ 7 yellow‚ and 10 purple. Converting these raw numbers into percentages would then provide an

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    International Distribution Strategies Name: Institution: Date: Table of Contents 1.0 Introduction .................................................................................................................. 5 2.0 International distribution channels ................................................................................. 7 2.1 what is an international distribution channel of consumer goods? ............................... 8 2.2 The design of the

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    organizational structure in Figure 7.9 reflect Deming’s view of the production system?  Total quality approach to ensure customer satisfaction and loyalty.  Improve process of selection of franchisee over time to ensure smooth and successful startup.  Using newsoftware package to evaluate market potential.  Computer aided design help to reduce cycle time.  Quality and Price areselectionsfor suppliers.  Franchiseetraining to ensure smooth start up.  Employee cross training can provide internal

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    Binomial Distribution

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    The Binomial Distribution October 20‚ 2010 The Binomial Distribution Bernoulli Trials Definition A Bernoulli trial is a random experiment in which there are only two possible outcomes - success and failure. 1 Tossing a coin and considering heads as success and tails as failure. The Binomial Distribution Bernoulli Trials Definition A Bernoulli trial is a random experiment in which there are only two possible outcomes - success and failure. 1 Tossing a coin and considering

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    Early Distributions

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    early distributions Instructions for Form 5329 (2012) http://www.irs.gov/pub/irs-pdf/i5329.pdf Line 2 The additional tax on early distributions does not apply to the distributions described below. Enter on line 2 the amount that can be excluded. In the space provided‚ enter the applicable exception number (01-12). No. Exception 01 Qualified retirement plan distributions (does not apply to IRAs) you receive after separation from service in or after the year you reach age 55 (age 50 for qualified

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    Channels of Distribution

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    Channels of Distribution 1 Channels of Distribution – Article Review #2 Katarina Mikalacki Marketing 421 Doula Zahropoulos October 06‚ 2004 Channels of Distribution 2 Having access to good distribution is fundamental to good marketing. Business operators need to be able to deliver their products and services to the right people‚ at the right time‚ in the right quantities

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    Income Distribution

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    Michael Ferrai Economics 001 Income Distribution November 13‚ 2012 Over the last 30 years the participation of women in the work force has increased dramatically‚ unfortunately the pay gap between men and women has not decreased much at all. On top of that the pay gap between the classes of working America is increasing. While there have been some improvements there is still a lot of room for improvement. As of 2011 women’s median hourly wages were about 84 percent of males median hourly

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    Survival DIstributions

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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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