ath 221 - Statistics Practice Quiz Week 2 This quiz review covers materials from Weeks 1 and 2. Your quiz will be in Week 3 located in the Quiz Tab. Your quiz will mostly comprise of multiple choice‚ true/false‚ and essay questions. The answers are at the end of the questions. 1. The measurement that describes the variation of a data set is called the Standard Deviation. 2. When a scatter plot’s (x‚y) points are all pretty close to the "line of best fit"‚ then how would you describe the
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Financial and Economic Forecasting The Civilian Unemployment Rate By: Doug Hanig Due: 5/15/12 Doug Hanig Professor Hecht Finc-411 3/12/12 Part 1 A. Civilian Unemployment Rate (FRED Database) Government Agency: US Department of Labor: Bureau of Labor statistics B. The government would be interested in this forecast for many reasons. By forecasting the civilian unemployment rate‚ the government can have an idea of how stable
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This essay will attempt to critically analyse Botticini’s article‚ ‘A loveless economy? Intergenerational altruism and the marriage market in a Tuscan town’. There will be particular concentration placed upon the statistical approaches Botticini has used and the strengths and weaknesses these approaches prompt‚ with minor evaluation regarding the essay’s layout‚ structure and accessibility. The title and Botticini’s opening comments make it clear to the reader that this will be an extraordinary
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REPUBLIC OF ALBANIA UNIVERSITY OF TIRANA FACULTY OF ECONOMY __________________________________ _________________________ Contents 1. Introduction 3 2. Advantages and disadvantages of international portofolio 3 2.1 Advantages 3 2.2 Disadvantages 4 2.3. Some ways to diversify are: 4 3. An example of an international portfolio. 4 4. Conclusions 7
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Expected Return=E(R_(ASSET ) )= ∑_(i=1)^n▒〖(P_(i ) 〗 x R_(i ))=(P_(1 ) x R_1 )+(P_2 x R_2) E(RICE CREAM) = (.50 x -.02) + (.50 x .20) = -.01 + .10 = .09 or‚ 9% E(RFRISBEES) = (.50 x .06) + (.50 x .12) = .03 + .06 = .09 or‚ 9% E(RUMBRELLAS) = (.50 x .15) + (.50 x .03) = .075 + .015 = .09 or‚ 9% Variance=Var(R)=σ^(2 )= ∑_(i=1)^n▒〖{pi x [Ri-E(R) ]^(2 )}〗 Var(R_(ICE CREAM) )= .5 x (-.02- .09)^(2 )+ .5 x (.20- .09)^2= .0121 Var(R_FRISBEES )= .5 x (.06- .09)^(2 )+ .5 x (.12- .09)^2=
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CHAPTER 7 Studying this chapter should enable you to: • understand the meaning of the term correlation; • understand the nature of relationship between two variables; • calculate the different measures of correlation; • analyse the degree and direction of the relationships. 1. INTRODUCTION In previous chapters you have learnt how to construct summary measures out of a mass of data and changes among similar variables. Now you will learn how to examine the relationship between
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Cheryl Vance 08/22/14 MA 3110 Linear Correlation 1. Listed below are baseball team statistics‚ consisting of the proportions of wins and the result of this difference: Difference (number of runs scored) - (number of runs allowed). The statistics are from a recent year‚ and the teams are NY—Yankees‚ Toronto‚ Boston‚ Cleveland‚ Texas‚ Houston‚ San Francisco‚ and Kansas City. 2. Difference 163 55 -5 88 51 16 -214 Wins 0.599 0.537 0.531 0.481 0.494 0.506 0.383 Construct a scatter plot‚ find the
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Assignment #2 EC1204 Economic Data Collection and Analysis Student No. 110393693 Part 1: Question 2 From analysing the Data on the Scatter Plot the relationship between the GDP and the Population of Great Britain from 1999-2009 appears to be a moderate positive correlation relationship. Both variables are increasing at a similar rate and following a similar pattern which would indicate this relationship. This relationship would tend to be a positive one as more people are available to the
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What is Correlational Research? The correlation research method is appropriate when researchers want to study and “assess relationships among naturally occurring variables.” Assessment means making predictions about the nature of the relationships being studied. It also means describing the relations and assigning them a “correlation coefficient” that describes the direction and magnitude of the movement of variables to one another. There are many types of correlational research. The commonality
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Problems on Regression and Correlation Prepared by: Dr. Elias Dabeet Q1. Dr. Green (a pediatrician) wanted to test if there is a correlation between the number of meals consumed by a child per day (X) and the child weight (Y). Included you will find a table containing the information on 5 of the children. Use the table to answer the following: Child Number of meals consumed per day (X) child weight (Y) X² Y² XY Ahmad 11 8 121 64 88 Ali 16 11 256 121 176 Osama 12 9 144
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