Channel Management‚ Sales and Distribution At CEAT Tyres Team Members: L. Gowtham Submitted to Nikhil Turaga Robin Paliwal Sneha Sinha Somya Shree Kumar Prof. Rajan Mani IBS Hyderabad Contents I. Acknowledgement ..................................................................................................................................... 2 Company Snapshot .................................................................................................................
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of this concept. Below it can explain more about this concept of supply chain. The birth of supply chain was first coined by Keith Oliver in 1982 this year known as creation era. However‚ the concept of a supply chain in management was of great importance long before‚ in the early 20th century‚ especially with the creation of the assembly line. The characteristics of this era of supply chain management include the need for large-scale changes‚ re-engineering‚ downsizing driven by cost reduction programs
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Lehar Soda also. Ubiquitous:Restaurant‚ Pan shops‚ Kirana Stores‚Confectionaries‚ Pepsi on wheels‚ all these aresome examples of the fact that the product Pepsiis ubiquitous. Number Of Intermediaries Intensive Distribution: Pepsi Co follows anintensive distribution strategy. To support theirubiquitous feature they want to place theirproduct in as many outlets as possible. Increases market coverage Competing against Coca Cola and other localcompanies. Terms And Responsibilities
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Statistics: • Science of gathering‚ analyzing‚ interpreting‚ and presenting data • Measurement taken on a sample • Type of distribution being used to analyze data Descriptive statistics: Using data gathered on a group to describe or reach conclusions about that same group only. Descriptive statistics are the tabular‚ graphical‚ and numerical methods used to summarize data. Collect‚ organize‚ summarize‚ display‚ analyze Eg: According to Consumer Reports‚ General Electric washing machine
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2.In a marketing study‚ 100 consumers were asked to select the best digital music player from the iPod‚ the iRiver‚ and the Magic Star MP3. To summarize the consumer responses with a frequency table‚ how many classes would the frequency table have? 4. Two thousand frequent Midwestern business travelers are asked which Midwest city they prefer: Indianapolis‚ Saint Louis‚ Chicago‚ or Milwaukee. The results were 100 liked Indianapolis best‚ 450 liked Saint Louis‚ 1‚300 liked Chicago‚ and the remainder
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Channels of Distribution Lesson 20 Channels of Distribution Are you aware that the study material of Business Studies‚ which is now in your hands‚ is prepared at the headquarters of the National Institute of Open Schooling (NIOS) situated at New Delhi. How did it come to your hands? Was it available at your study centre or you bought it from the market? If you got it from your study centre‚ then just think for a while: how did it reach your study centre? Actually‚ after publishing the
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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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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 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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NORMAL DISTRIBUTION 1. Find the distribution: a. b. c. d. e. f. following probabilities‚ the random variable Z has standard normal P (0< Z < 1.43) P (0.11 < Z < 1.98) P (-0.39 < Z < 1.22) P (Z < 0.92) P (Z > -1.78) P (Z < -2.08) 2. Determine the areas under the standard normal curve between –z and +z: ♦ z = 0.5 ♦ z = 2.0 Find the two values of z in standard normal distribution so that: P(-z < Z < +z) = 0.84 3. At a university‚ the average height of 500 students of a course is 1.70 m; the standard
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