...Expert systems are computer applications that combine computer equipment, software, and specialized information to imitate expert human reasoning and advice. As a branch of artificial intelligence, expert systems provide discipline-specific advice and explanation to their users. While artificial intelligence is a broad field covering many aspects of computer-generated thought, expert systems are more narrowly focused. Typically, expert systems function best with specific activities or problems and a discrete database of digitized facts, rules, cases, and models. Expert systems are used widely in commercial and industrial settings, including medicine, finance, manufacturing, and sales. As a software program, the expert system integrates a searching and sorting program with a knowledge database. The specific searching and sorting program for an expert system is known as the inference engine. The inference engine contains all the systematic processing rules and logic associated with the problem or task at hand. Mathematical probabilities often serve as the basis for many expert systems. The second component—the knowledge database—stores necessary factual, procedural, and experiential information representing expert knowledge. Through a procedure known as knowledge transfer, expertise (or those skills and knowledge that sustain a much better than average performance) passes from human expert to knowledge engineer. The knowledge engineer actually creates and structures the knowledge...
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...MAT 300 – Assignments and Rubrics ALEKS Pie Completion Worth 400 points The primary goal of this class is for you to complete the entire pie by the end of the term. Points for pie completion will be added to your score at the end of the term. ALEKS Emphasis on Lab Work. On-ground sections of the course will be taught in a computer lab, with three (3) hours of lab time using ALEKS for every one (1) hour of traditional instruction. Thus, students in an onground section of the course will log about three (3) of the required five (5) weekly hours in ALEKS during class. To get full credit for the ALEKS participation points, on-ground students will have to put in two (2) additional hours using ALEKS outside of class. Online students will also utilize ALEKS in the same or similar manner. All students will start the term by taking a comprehensive ALEKS assessment to identify where they need to focus their efforts. As you master each assigned topic, your progress will be plotted on a pie chart. Your goal will be to fill in the entire pie. Forty (40) percent of your final grade will be based on how much of the pie you fill in. Weekly Lab Requirement. Students are expected to spend at least five (5) hours per week working with ALEKS. The instructor will be able to see how much time you’ve spent in ALEKS and what topics you’ve worked on. Weekly ALEKS time will count toward 10% of your final grade. If you work in ALEKS for five (5) or more hours, you will earn ten (10) points. If you...
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...Bottling Company Case Study TaNeesh Williams Derrick Barbee MAT 300-Statistics March 14, 2015 Bottling Company Case Study Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Bottle Number | Ounces | Bottle Number | Ounces | Bottle Number | Ounces | 1 | 14.5 | 11 | 15 | 21 | 14.1 | 2 | 14.6 | 12 | 15.1 | 22 | 14.2 | 3 | 14.7 | 13 | 15 | 23 | 14 | 4 | 14.8 | 14 | 14.4 | 24 | 14.9 | 5 | 14.9 | 15 | 15.8 | 25 | 14.7 | 6 | 15.3 | 16 | 14 | 26 | 14.5 | 7 | 14.9 | 17 | 16 | 27 | 14.6 | 8 | 15.5 | 18 | 16.1 | 28 | 14.8 | 9 | 14.8 | 19 | 15.8 | 29 | 14.8 | 10 | 15.2 | 20 | 14.5 | 30 | 14.6 | Calculate the mean, median, and standard deviation for ounces in the bottles. The mean and median are measures of tendency which are also called measures of average. The mean is found by adding the values of the data and dividing by the total number of values. The median is the halfway point in a data set and found by arranging the date in order (Bluman, 2013, p 113-117)....
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...Bottle Company Case Study Statistics MAT/300 As Manager of the Harley Bottle Company, I have been receiving complaints from customers on the quantity of product received when purchasing our sixteen ounces soda bottles. These complaints have caused my boss to worry and would like me to investigate the issue at hand. I will begin my investigation by instructing the employees to pull at random 30 bottles from all the shifts at the bottling plant. By pulling random containers from all shifts, I can eliminate the possibility of if being a human error. To start my investigation I begin by weighing the sample size of 30 bottles. The weight ranges between 14 oz. and 16.1oz., which lets be know there is a problem with our bottling consistence. For more detailed information to complete my investigation I must calculate the Mean, Median, and Standard Deviation of the sample size. * The Mean is the sum of the sample size in ounces divided by sample size. Based on the sample size of 30 bottles, there is a total of 446.1 ounces divided by the sample size of 30, gives is the mean of 14.87. = 14.87 * The Median is the data set middle number when the set is sorted in numerical order. Median of the 30 bottles is 14.8. * Standard deviation is the measure of how spread out the numbers is. To find the (Standard Deviation), you must find the square root of the variance. The is 0.5503. The Harley Bottling Company is very optimistic of is bottling process. I will now construct...
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... Assn. 1: Bottling Company Case Study Strayer University Professor Anthony Myers MAT 300-Statistics 06/15/2014 Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Bottle Number | Ounces | Bottle Number | Ounces | Bottle Number | Ounces | 1 | 14.5 | 11 | 15 | 21 | 14.1 | 2 | 14.6 | 12 | 15.1 | 22 | 14.2 | 3 | 14.7 | 13 | 15 | 23 | 14 | 4 | 14.8 | 14 | 14.4 | 24 | 14.9 | 5 | 14.9 | 15 | 15.8 | 25 | 14.7 | 6 | 15.3 | 16 | 14 | 26 | 14.5 | 7 | 14.9 | 17 | 16 | 27 | 14.6 | 8 | 15.5 | 18 | 16.1 | 28 | 14.8 | 9 | 14.8 | 19 | 15.8 | 29 | 14.8 | 10 | 15.2 | 20 | 14.5 | 30 | 14.6 | Calculate the Mean, Median, and Standard Deviation for Ounces in the Bottles. As stated in Bluman, (2013), “the mean is found by adding the values of the data and dividing by the total number of values” (p. 114). In the data collected from the bottling company case study, the mean is 14...
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...Bottling Company Case Study Vincent Bacon Dr. Pamela Self MAT 300 Statistics December 14, 2013 Bottling Company Case Study Calculate the mean, median, and standard deviation for ounces in the bottles. To determine the mean, which is the statistical average of all numbers involved, we will add the number of ounces together and divide by the number of bottles, in this case 30. For the mean we get 446.1 / 30, for a mean of 14.9. The median, however, is the ‘middle’ number of the bottles ounces. Since we have an even number, it will be the average of the two middle numbers, which will give us a better perspective of the average than just the mean will. In this case it will be 14.8 + 14.8 / 2, which equals 14.8. The standard deviation is calculated to show how far apart the data can be. In the bottling case, after using the mean to get the variance, we divided by 30-1 to get a standard deviation of 0.55 (rounded down to two decimal places). Construct a 95% Confidence Interval for the ounces in the bottles. In order to construct a confidence interval, we need several statistics. The first is the sample mean, which is 14.9. Since we have selected a confidence interval of 95%, we need to find the margin of error to calculate our findings. Using the t-score model ( compute alpha, find the critical probability [.975], the degrees of freedom [999]) (StatTrek, 2013), we find that the critical value is 1.96. When we multiply this by the confidence interval...
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...Assignment #1: Bottling Company Case Study By: unknown Instructor: Dr. Unknown Strayer University Course: MAT 300 Date: September 7, 2014 Assignment #1: Bottling Company Case Study Dear Mr. Brooks, Due to multiple customer complaints that we have received, I performed a random testing of the production of our soda pop inventory. I had my team of employees pull a total of 30 bottles off of the assembly line at random; 10 per shift. I also, asked my employees to measure the amount of soda per bottle. The results are presented below. |Bottle Number |Ounces |Bottle Number |Ounces |Bottle Number |Ounces | |1 |14.5 |11 |15 |21 |14.1 | |2 |14.6 |12 |15.1 |22 |14.2 | |3 |14.7 |13 |15 |23 |14 | |4 |14.8 |14 |14.4 |24 |14.9 | |5 |14.9 |15 |15.8 |25 |14.7 | |6 |15.3 |16 |14 |26 |14.5 | |7 |14.9 |17 |16 |27 |14.6 | |8 |15.5 |18 |16.1 |28 |14.8 ...
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...Bottling Company Case Study | MAT 300: StatisticsProfessor: Dr. Negash Begashaw September 2, 2014 | Maggie L. Moore | Customers have begun to complain that the bottles of Lonice’s Soda contain less than the advertised sixteen ounces of soda. Today I asked my employees to randomly pull thirty bottles off the lines at random from all the shifts at the Lonice’s bottling plant. After asking them to measure the amount of soda in each bottle we came up with the following data. (See attached spread sheet). To calculate the mean, median and standard deviation for the ounces in the bottles I first imported the data in excel. After importing the data I use the Data analysis function where I choose descriptive statistics. Once choosing descriptive statistics I clicked ok and input my data range. Afterward I selected summary statistics and press OK. The forwarding data was provided; the mean equaling 14.87, median equaling 14.8, standard deviation equaling 0.550. To construct a ninety-five confidence interval for the ounces in the bottles I use the following information. X equal to 14.87 which is the mean of the data from the bottles, n equal to 30, because of the amount of bottles we use, standard deviation equals zero point five five zero which was calculate with the data from the bottles. I use the formula [ ] which gave me the lower limit of 14.673 and an upper limit of 15.067. Finally I conducted a hypothesis test to verify if the claim that a bottle...
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...Bottling Company Case Study Introduction to Statistics: MAT 300 6/7/2014 Recently customers have begun to complain that the bottles of the brand of soda produced in this company contains less than the advertised 16 ounces of product. I have pulled 30 bottles of soda and am calculating the mean, median, standard deviation, constructing a 95% confidence interval and conducting a hypothesis test to verify the claim that a bottle contains less than 16 ounces is supported. The first set of tests will consist of calculating the mean, median and standard deviation for ounces in the bottles. Below is the data set from the 30 bottles collected: Bottle Number | Ounces | Bottle Number | Ounces | Bottle Number | Ounces | 1 | 14.5 | 11 | 15 | 21 | 14.1 | 2 | 14.6 | 12 | 15.1 | 22 | 14.2 | 3 | 14.7 | 13 | 15 | 23 | 14 | 4 | 14.8 | 14 | 14.4 | 24 | 14.9 | 5 | 14.9 | 15 | 15.8 | 25 | 14.7 | 6 | 15.3 | 16 | 14 | 26 | 14.5 | 7 | 14.9 | 17 | 16 | 27 | 14.6 | 8 | 15.5 | 18 | 16.1 | 28 | 14.8 | 9 | 14.8 | 19 | 15.8 | 29 | 14.8 | 10 | 15.2 | 20 | 14.5 | 30 | 14.6 | The mean for the samples above is 14.87 ounces. The median for the samples above is 14.8 ounces. The standard deviation for the above sample is 0.550 ounces. The second test is constructing a 95% confidence interval. The values needed to construct the 95% confidence interval include; samples size of 30, confidence coefficient of 1.96...
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...chain efficiency and increased business automation. As a result, more major consumer goods companies are starting to use the Internet to do business with retailers. Therefore, Coca Cola being an important SUPPLIER, needs to provide its customers with a fast and reliable way to take purchase orders. Internet has made it possible for Coca-Cola Company to build a strong relationship with its bottling partners. Although in most cases they operate as two independent companies, internet makes it easier for them to interact with each other. The Coca-Cola Company’s business is focused on creating and marketing their brands and trademarks, while Coca-Cola bottling companies produce and package the finished beverage products and then sell and distribute them to our retail and WHOLESALE customers Coca-Cola Company's work together with more than 300 bottling partners globally and operate the most extensive beverage distribution system in the world. This Coca-Cola system owns, leases or operates more than 800 plants around the world. Coca-Cola's bottling partners range from international and publicly TRADED businesses to small, family-owned operations. Their governance and management structures are separate from those of The Coca-Cola Company. There are more than ten local bottlers in Canada but the vast majority of Coca-Cola products are manufactured and distributed by the Coca-Cola Bottling Company (CCBC).Coca-Cola uses two types of search engines in order to follow its B2C model; Crawler...
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...Markets & Regulations Wine Industry in Maharashtra: An Analysis Sudipto Mitra Two of the countryʹs biggest grape-producing districts, Nasik and Sangli, are in Maharashtra; 20,000 hectares of vineyards here grow more than one lac tons of grapes a year. As much as 99 per cent of the grapes is used for making honey, crushes and jams, or consumed fresh or dry. The rest is used for making wine. Thus the opportunity in this sector is immense and given proper help and guidance this sector can be of great help for employment as well as for earnings. General rules for bar owners as framed and maintained by the local municipal corporation (as per schedule “e” or “fl3”for grant of licenses) are: • Silver plating of the utensils to be used in the bars compulsory. • Fire license to be procured before starting off with the operations. • Glass tumblers a must for all bars for serving wines etc. • Pest control to be done regularly. • The minimum size to be operational is 450 sq. feet. • Tiles compulsory for the floor. • Clean uniforms for the waiters in the bars. • Separate place for washing utensils. • Kitchen to be a minimum distance from the actual serving place. • Twice painting of the walls of the bars every year. • Restaurant/ bar to be cleaned twice per day. Before actually applying for the license, one is required to operate the bar /restaurant for six months. After applying for the license one is required to pay the fees which may vary between one and half lacs to two lacs...
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...CHAPTER- 1 1.1: INTRODUCTION The word 'business' is actually derived from the idea of 'busy-ness'. This idea accurately describes most organizations: they are busy organizing resources, producing, selling, managing people and keeping track of finances. The people running the business have to organize people, money, materials and machines to produce a good or service to sell or give to their customers. Organisations: Since the dawn of time, civilized man has designed and built facilities in which to present great ideas. The Concept Organization manages ideas with the same monumental approach. Few things touch our daily life as much as Organisations do. We depend on organisations for education, food, clothing, shelter, health, wealth, recreation, travel, and much more. But what are they, have they come with us? Yes, organisations are as old as the human race itself. Archaeologists have discovered massive temples dating back to 3500 BC that were constructed through the organized actions of many people. The fact that impressive monuments were built suggest that not only did complex organisations exit, but that the people in them worked cohesively for common causes. “They are groups of people who work independently towards some purpose. Organisations are not physical structure; rather they are people who work together to achieve a set of goals. People who work in organisations have structured patterns of interactions, meaning...
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...2( b-e ). AREAS OF DECISION MAKING Learning objective In this chapter we will check different types decision making problems as faced by top management on day-to-day operation basis. Management has to consider the best alternative situations so that the profit of the organisation will increase. Some of these are as follows 1. product sales pricing & mix 2. limiting factors 3. multiple scare resource problem ( Ref chapter 10a) 4. make or buy 5. selection of products, etc etc Introduction: Decision making are of 2 types. (1) Long term decision making : For this purpose we generally apply capital budgeting technique. (2) Short term decision making ( i.e. generally in one financial year) a) Pricing decision for the particulars period for which we apply different pricing techniques. b) Other than pricing decision such as- (i) Except or reject an offer (ii) Make or buy the product or slab component (iii) Sale or process (iv) Exploring new foreign market. (v) Discontinue of a product (vi) Shut down of a factory etc. In this way there may be different type of heading. However, the solution technique are limited to four only : (1) Problem of limiting factor or limiting factor approach ( for common process applicable for more than 1 product)...
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...PRINCIPLES OF COST ACCOUNTING This page intentionally left blank PRINCIPLES OF COST ACCOUNTING 15E E D W A R D J. V A N D E R B E C K Professor Emeritus Department of Accountancy Xavier University Principles of Cost Accounting, 15th Edition Edward J. VanDerbeck ª 2010, 2008 South-Western, Cengage Learning ALL RIGHTS RESERVED. No part of this work covered by the copyright herein may be reproduced, transmitted, stored or used in any form or by any means graphic, electronic, or mechanical, including but not limited to photocopying, recording, scanning, digitizing, taping, Web distribution, information networks, or information storage and retrieval systems, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the publisher. Vice President of Editorial, Business: Jack W. Calhoun Acquisitions Editor: Matt Filimonov Developmental Editor: Lauren Athmer Marketing Manager: Kristen Hurd Marketing Coordinator: Heather McAuliffe Content Project Manager: Corey Geissler Production Technology Analyst: Starratt Alexander Media Editor: Scott Fidler Sr. Manufacturing Coordinator: Doug Wilke Production Service: Cadmus Sr. Art Director: Stacy Shirley Internal Designer: Jennifer Lambert, Jen2Design, LLC Cover Designer: cmiller design Cover Image: ªGetty Images For product information and technology assistance, contact us at Cengage Learning Customer & Sales Support, 1-800-354-9706 For permission...
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...PRINCIPLES OF COST ACCOUNTING This page intentionally left blank PRINCIPLES OF COST ACCOUNTING 15E E D W A R D J. V A N D E R B E C K Professor Emeritus Department of Accountancy Xavier University Principles of Cost Accounting, 15th Edition Edward J. VanDerbeck ª 2010, 2008 South-Western, Cengage Learning ALL RIGHTS RESERVED. No part of this work covered by the copyright herein may be reproduced, transmitted, stored or used in any form or by any means graphic, electronic, or mechanical, including but not limited to photocopying, recording, scanning, digitizing, taping, Web distribution, information networks, or information storage and retrieval systems, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the publisher. Vice President of Editorial, Business: Jack W. Calhoun Acquisitions Editor: Matt Filimonov Developmental Editor: Lauren Athmer Marketing Manager: Kristen Hurd Marketing Coordinator: Heather McAuliffe Content Project Manager: Corey Geissler Production Technology Analyst: Starratt Alexander Media Editor: Scott Fidler Sr. Manufacturing Coordinator: Doug Wilke Production Service: Cadmus Sr. Art Director: Stacy Shirley Internal Designer: Jennifer Lambert, Jen2Design, LLC Cover Designer: cmiller design Cover Image: ªGetty Images For product information and technology assistance, contact us at Cengage Learning Customer & Sales Support, 1-800-354-9706 For permission...
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