The Product OBJECTIVES: * Definition of Product * Product Concept * What is Branding Packaging and Labeling What is Product? A product is anything offered for sale by a firm to buyers to satisfy their wants and needs. Products may take any of the following forms: * A physical object like a toy or a kilo of pork * A service like a Ferris wheel ride or a dental check-up * A place like London or Boracay * An organization like the Knights of Columbus or the Philippine
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love is the path to marriage may be surprised at some of the pros and cons of arranged marriages. Though they’re not for everyone‚ arranged marriages do have some advantages that you may not be aware of. At the same time‚ they have some very real disadvantages too. In countries or cultures where matchmaking is the norm‚ people are very aware of the pros and cons of arranged marriages. One of the strongest reasons for arranged marriages is finding a partner who is compatible ethnically‚ religiously‚
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Frequency Distribution (A) Introduction 1. Ungrouped data versus grouped data Ungrouped data (Raw data): It is a list of individual observed values of the random variable Grouped data (a frequency distribution): It is a table that displays the data in grouping along with the number of occurrences that fall into each group. 2. The components of a frequency distribution a. Class limits: They identify the inclusive values in a class of a frequency distribution The
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1.4 explain different ways of segmenting customer groups There are many different ways for a company to segment customer groups in order to find the most ideal customers for certain products or services that they are offering. Some of these include geographic segmentation‚ demographic segmentation‚ psychographic segmentation‚ and behavioural segmentation. 1. Demographics (age‚ race‚ religion‚ gender‚ family size‚ ethnicity‚ income‚ education level). This is basically the study of population. Demographic
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The product life cycle (PLC) describes the stages a new product goes through from beginning to end. PLC includes four major stages: market introduction‚ market growth‚ market maturity and sales decline. I decided to take an industry of cameras production as an example. I will show an application of PLC to the period‚ when cameras producers introduced such new product as digital cameras. In the market introduction stage‚ when this type of cameras were introduced to a market for the very first
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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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SALES AND DISTRIBUTION MANAGEMENT ASSIGNMENT MORGAN & BOSS OFFICE EQUIPMENT DIVISION SUBMITTED BY ANGANA (F13005) ASHISH CHANDY (F13015) CHRISTINA IMMACULATE (F13021) DHANYA ANN ROY (F13025)
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profit and their loyal customers were always remained. Bayambang is one of the town with the largest number of barangays in Pangasinan‚ a largest place to establish a business. Business opportunity is increasing like mini grocery market‚ malls‚ fast food chains‚ banks‚ water refilling station and other small and big enterprises. This business establishment where very profitable and have impact to the customers especially here‚ is the groceries stores because customer or people can get or buy
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I found the concept on frequency distribution using Google and the search words “frequency distribution” at http://www.mathsisfun.com/data/frequency-distribution.html This website is geared towards younger people and therefore breaks down frequency distribution into very basic terms: values and their frequency (how often each value occurs). The website uses the example of a child’s soccer team and how many goals they scored in recent games. For the assignment this week‚ I have chosen to use the
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Simple random sample (SRS) In statistics‚ a simple random sample from a population is a sample chosen randomly‚ so that each possible sample has the same probability of being chosen. One consequence is that each member of the population has the same probability of being chosen as any other. In small populations such sampling is typically done "without replacement"‚ i.e.‚ one deliberately avoids choosing any member of the population more than once. Although simple random sampling can be conducted
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