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    Distribution Assignment

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    Assignment Q1Find the parameters of binomial distribution when mean=4 and variance=3. Q2. The output of a production process is 10% defective. What is the probability of selecting exactly two defectives in a sample of 5? Q3. It is observed that 80% of television viewers watch “Boogie-Woogie” Programme. What is the probability that at least 80% of the viewers in a random sample of five watch this Programme? Q4. The normal rate of infection of a certain disease in animals is known to

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    distribution in banking

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    DISTRIBUTION IN BANKING BUSINESS Distribution in financial services marketing is concerned with how the service is delivered to the customer‚ making sure that it is available in a place‚ at a time and in a format that is appropriate and convenient for the customer. In a growing number of countries‚ the expansion of the financial services sector has been accompanied by a significant blurring of lines between different institutional types with‚ for instance‚ retail banks offering insurance products

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    Chapter 158 Distributions to Shareholders: Dividends and Repurchases ANSWERS TO END-OF-CHAPTER QUESTIONS 158-1 a. The optimal distribution policy is one that strikes a balance between dividend yield and capital gains so that the firm’s stock price is maximized. b. The dividend irrelevance theory holds that dividend policy has no effect on either the price of a firm’s stock or its cost of capital. The principal proponents of this view are Merton Miller and Franco Modigliani (MM). They

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    global distribution

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    Global Distribution and Transportation 501 Semester 1 – 2014 Assessment 2 Group Essay Due date: Week 13 (May 27‚ 6.00 p.m.) Submission: Online through Turnitin Marks: 30 marks Objectives This assessment item relates to the course learning outcomes 1 to 4 as stated in the unit outline. Students are to form their own groups and select their own group members. There will be a maximum of 5 members in a group. Guidelines: You must use at least 15 peer-reviewed

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    Distribution of Lic

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    Distribution channel of LIC Child Fortune plus ANAND.G MOULAN.S MANOJ.K RAVEE KUMAR.M.S Primary objective of the distribution is to increase the customer base who have a disposable income level of more than 2 lakhs per annum. Price: The price of a life insurance depends upon the period by which premium is bieng paid. Specifications of LIC child fortune plus is given below Specifications | LIC Child Fortune plus | Age (Male) | 35 years | Premium | 1‚00‚000 | Sum Assured | 5‚00

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    structured questionnaires. The main data collection technique employed was factor loading using principle component analysis. It was performed on various constructs which were used to understand the organizational behaviour. The findings of this dissertation exerts organizational decision markers to focus on acceptance of change by managers and employees‚ being more responsive to customers’ suggestions‚ employees awareness about organizational mission‚ non-monetary appreciation by the colleagues and

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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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    Channel of Distribution

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    1.1 GENERAL INTRODUCTION Diabetes mellitus‚ often simply referred to as diabetes‚ is a group of metabolic diseases in which a person has high blood sugar‚ either because the body does not produce enough insulin‚ or because cells do not respond to the insulin that is produced. It is a serious‚ lifelong condition. The three main types of diabetes are:  Type 1 diabetes results from the body’s failure to produce insulin‚ and presently requires the person to inject insulin.  Type 2 diabetes

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    Probability distribution

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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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    Probability Distribution

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    Probability distribution Definition with example: The total set of all the probabilities of a random variable to attain all the possible values. Let me give an example. We toss a coin 3 times and try to find what the probability of obtaining head is? Here the event of getting head is known as the random variable. Now what are the possible values of the random variable‚ i.e. what is the possible number of times that head might occur? It is 0 (head never occurs)‚ 1 (head occurs once out of 2 tosses)

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