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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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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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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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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Q1. (a) ‘Statistics is the backbone of decision-making’. Comment. Ans.(a) Due to advanced communication network‚ rapid changes in consumer behavior‚ varied expectations of variety of consumers and new market openings‚ modern managers have a difficult task of making quick and appropriate decisions. Therefore‚ there is a need for them to depend more upon quantitative techniques like mathematical models‚ statistics‚ operations research and econometrics. Decision making is a key part of our day-to-day
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Baker Machine Company Layout Problem 3.4. (Summary) Baker Machine is considering two alternative layouts. We will compare the Weighted-Distance Scores using rectilinear distance* of the two block plans to determine which alternative layout is better. Alternative Layout 1 Alternative Layout 2 3 | 6 | 4 | 5 | 1 | 2 | 3 | 1 | 4 | 5 | 6 | 2 | * rectilinear distance – the distance between two points with a series 90-degree turns‚ as along city blocks Data Baker Machine Company
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CRIMINAL LAW Table of Contents CRIMINAL LAW ......................................................................................................................... 1 INTRODUCTION .................................................................................................................... 1 Historical evolution of criminal law .......................................................................................... 1 Crime – Nature and definition social & legal context – ..........
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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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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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Diversified Global holdings group Strategic analysis business analytics department for CCResorts Central coast Strategic analysis BUsiness analytics Department Executive summary This study was produced on behalf of the Business Analytics Department at DGHG for CCResorts in order to examine market research and determine how the venture is progressing. The company provided a data sample from the past 12 months with 200 entries‚ each with 6 variables. The aim of this report is to evaluate
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