Sociology project by Alabbas‚Zahraa Cleveland state University Spring‚ 2012 Dr.Dawn‚ Alberti Sec:2 05/12/2012 Data and Variables Three variables are used for this project: 1-Gross National Incomes (GNI) PPP per capita. 2-Life expectancy. 3-Population (in millions). Validity of the Measurement Income level Q_1: Why can’t Gross National Income be directly used as a measure of income level? What does the PPP adjustment take into account? Why has
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[BOUND REFERENCE] Contents Core – Statistical Analysis ................................................................................................................................................. 2 Core – Scattergraph Draw & Interpret (Step 2) ................................................................................................................ 3 Core – Scattergraph Draw & Interpret (Step 2 Continued) .........................................................................
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ECONOMETRICS EXERCISE 3 TRAN THI ANH NGUYET 28 March‚ 2013 1. The data set CEOSAL2.DTA contains information on 177 CEOs. In this sample‚ the average annual salary is $865‚864‚400 with the smallest and largest being $100‚000 and $5‚299‚000‚000‚ respectively. Another most interesting variable is sales with the average being $3‚5329‚463‚000‚ and its the smallest and largest being $29‚000 and $51‚300‚000. Using the data set‚ the following OLS regression is obtained: (1) . ˆ lnsalary = 4.58 + 0
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The final project entails systematic extraction of decision-aiding insights out of a dataset. The project will provide hands-on experience in conducting and interpreting different types of function-wise statistical analysis. The focus of the analysis will be on marketing strategies and analysis-related topics (South University Online‚ 2012). The sample set was examined thoroughly to reveal findings relevant to the marketing strategies and the interpretation of the data. The median income is between
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University of Phoenix Material – Sonya Cargill 11/12/12 Week Five Calculations Read the following scenarios‚ and answer the accompanying questions. 1. Statistics students were asked to fill a one-cup measure with raisin bran‚ then tap the cup lightly on the counter three times to settle the contents. If necessary‚ they were instructed to add more raisin bran to bring the contents exactly to the one-cup line‚ then spread the contents on a large plate‚ and count the raisins. The 13 students
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total gross sales‚ number of theaters‚ and weeks in top 60. The four variables are used to analyze the motion picture industry‚ and show the descriptive statistic of the variables and to analyze the results. The results will show the high performance outliers of the motion picture industry and why. The correlation between total gross sales and each variable will be shown and will be accompanied by X‚ Y scatter graphs. At completion of this case study the reader will understand the following descriptive
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General Information Part One (approximately 70 - 80% weight) Overview: Covers Chapters 1 – 5 Part One will begin promptly at 2:10 and end at 3:25. Students arriving late will not be given additional time. If you have a diagnosed learning disability which requires extra time‚ you must make arrangements with me at least one week in advance so arrangements can be made for you to take the exam at the ARC. Consists of multiple-choice‚ true-false‚ short answer and short essay questions. There
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and the maximum value is much farther away from the median than the minimum value. (b) Would the boxplot for the data indicate any outliers? Explain why or why not. Ans: IQR=9100-8850=250. 1.5 × IQR = 375. The inner fences will be 8850-375=8475 and 9100+375=9475 respectively. With a maximum of 9940‚ there is at least one high outlier. (There will be no low outliers because the minimum is 8800‚ which is within the inner fences.) II. A drug manufacturer has hundreds of sales representatives all
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Error Analysis Lab By: Lab Team 5 Introduction and Background: In the process of learning about the importance of measurement and data processing‚ lab teams were given prompts to design experiments as well as address the precision‚ accuracy‚ and error analysis within the experiment. Lab teams collaborated their data to find similarities and differences within their measurements. Through this process‚ students learned the importance of the amount of uncertainty as well as the different
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have abundance. But from him that hath not shall be taken away even that which he hath.” – Matthew 25:29. Malcolm Gladwell uses this scripture from the gospel of Matthew to introduce the phenomenon of the “Matthew Effect” in his book‚ Outliers. He defines an “outlier” as “men and women who do things out of the ordinary” (Gladwell 17). In his search of trying to find what exactly made these men and women so extraordinary‚ he discovered that they all had an “accumulative advantage” over their counterparts
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