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    Accounting & Statistics

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    Assignment Cover Sheet RESULT STUDENT NAME PROGRAMME MODULE TITLE MODULE TUTOR MODULE CREDITS ASSIGNMENT TITLE HANDOUT DATE 15/11/2012 PENALTIES FOR LATE SUBMISSION Kostas Papanikos Master In Business Administration Managing accounting and Statistics Dr Kounis Leo 15 Assignment SUBMISSION DATE 15/12/2012 CONTRIBUTION TO OVERALL MODULE 50% Up to one week late: Pass maximum grade awarded. Over one week late: Fail grade awarded University of Wales 1 City Unity College YOU MUST TYPE

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    Social Statistics

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    2/8 (Friday) Standard Deviation cont’d Example: Amount of money earned by new immigrants Sample: 12‚ 15‚ 16‚ 20‚ 25‚ 36‚ 40 Step 1: Find the mean * x̄=164/7 * mean is 23.4 Step 2: Find how much each observation deviates from the mean * 12 - 23.4 = -11.4 * 15 – 23.4 = -8.4 * 16 – 23.4 = -7.4 * 20 – 23.4 = -3.4 * 25 – 23.4 = 1.6 * 36 – 23.4 = 12.6 * 40 – 23.4 = 16.6 * Note: all observations below mean will be negative‚ all above will be positive Step

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    DESCRIPTIVE STATISTICS

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    ECO 72 ­ INTRODUCTION TO ECONOMIC STATISTICS Topic 2 Measures of Central Tendency These slides are copyright © 2003 by Tavis Barr.   This material may be distributed only subject  to the terms and conditions set forth in the Open Publication License‚ v1.0 or later (the latest  version is presently available at http://www.opencontent.org/openpub/). Measures of Central Tendency This chapter looks at three different concepts of how we  describe a “typical” element of a data set. Mean

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    Math Statistics

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    1. The three components of leadership are: 1.) influencing others‚ 2.) providing direction‚ and: ***getting voluntary acceptance 2. Comparing an organization’s strengths and weaknesses with its competitors is part of: PG 435 Not Self Assessment ***Competitor Analysis 3. Staff scheduling using information technology is only applicable to large organizations. ***False 4. When compared to public relations‚ marketing is: PG 430 Not Broader in scope 5. Which of the following types of

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    Statistics Analysis

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    Hypothesis: Ho: P = .10 (Mr. Plex and consortium will seriously consider settlement) H1: P < .10 (Mr. Plex and consortium will rigorously defend any lawsuit by Tommy) Analysis: For this case‚ we use 0.01 as the significance level. In a hypothesis test‚ a Type I Error occurs when the null hypothesis is rejected when it is in fact true. That means if the consortium decides to consider a settlement when greater than 10% of the patrons resented ads/commercials is true and we reject the null hypothesis

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    Question for Statistic

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    Practice Problems 1-KEY 1. The closing stock price of Ahmadi‚ Inc. for a sample of 10 trading days is shown below. Day Stock Price 1 84 2 87 3 84 4 88 5 85 6 90 7 91 8 83 9 82 10 86 For the above sample‚ compute the following measures. a. b. c. The mean = ∑X/n = 860/10 = 86 The median = (85+86)/2 = 85.5 The variance = ∑ X - X 2/ n-1 = {(84-86)2 + (87-86)2 + (84-86)2 + (88-86)2 + (85-86)2 + (90-86)2 + (91-86)2 + (83The standard deviation = √8.89 = 2.98 The coefficient of variation = 2.98/86 * 100%

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    Managerial Statistics

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    1) Suppose that an independent laboratory has tested trash bags and has found that no 30-gallon bags that are currently on the market have a mean breaking strength of 50 pounds or more. On the basis of these results‚ the producer of the new‚ improved trash bag feels sure that its 30-gallon bag will be the strongest such bag on the market if the new trash bag’s mean breaking strength can be shown to be at least 50 pounds. The mean of the sample of 40 trash bag breaking strengths in Table 1.9 is x=50

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    Statistics Project

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    Sugar Content of Popular Cereals Purpose: Analyze and compare sugar content of popular cereals with the same serving size. Cereal is a staple in my home‚ but chosen for different reasons. Cereals that are popular with kids are starting to advertise more fiber and grains‚ which capture a parent’s eye. Is eating a blander colored cereal really more healthy than a vibrant colored one? | | | | | | | | | | | | | | | | | | | | | | Category(X): | Cheerios | Crispix

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    Statistics and Data

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    Coordinate Algebra Name: _____________________ 4.2.3 Residuals Date: _____________________ Introduction The fit of a linear function to a set of data can be assessed by analyzing__________________. A residual is the vertical distance between an observed data value and an estimated data value on a line of best fit. Representing residuals on a___________________________ provides a visual representation of the residuals for a set of data. A residual plot contains the points:

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    Statistics and Probability

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    Chapter 1 The Problem and Its Background Introduction Changes are permanent thing on earth. Are the people is ready enough to accept the changes on the educational system? The current opening of classes here in the Philippines usually starts from June to March but our lawmakers want to amend the opening of classes. The existing school calendar which spans from June to March is often disrupted as destructive typhoons plague the region during the rainy season that’s why our lawmakers decided to

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