...MAT1001 Discussion Questions Text: The Digital Edition of Elementary and Intermediate Algebra: Concepts and Applications by Bittinger, Ellenbogen, & Johnson, 5th edition 2010. Instructions: * For each week’s Discussion Question assignment, complete the problem(s) associated with the letter that corresponds with your name. NOTE: (As you scroll through the remaining pages of this document, you will find the problems you need to complete for each week. For example, you can find Week 1’s list of problems on page 3, Week 2’s list of problems on page 3, etc.) * Please show all of the steps needed to solve your problem(s). No credit will be awarded for responses containing only the answers – your reasoning and calculations must be included. * Be sure that your post includes the textbook section and the problem numbers, so your classmates can find your problems in the textbook. * Remember to do all of the problems assigned. * Respond to the postings of at least two other students. You can * ask a question about your classmate’s solution * offer help when you see an error, or * seek help in completing your own problems. Remember that nonsubstantive posts such as “Good job!” will not count toward your participation score. * You will note that no one is assigned the first problems in each textbook section. These may serve as practice problems, and will help prepare you for the more challenging questions that are assigned...
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...sections Ratings for All instructor course avg_grd hours/week workload # of sections 05 F 06 Sp 06 F 07 Sp 07 F 08 Sp 08 F 09 Sp 09 F 10 Sp 10 F 11 Sp 11 F 12 Sp 12 F 13 Sp 13 F 14 Sp SD 14 Sp 0.63 0.66 0.36 0.72 instructor course avg_grd hours/week workload # of sections Primary Instructors (TTT & OTH) All Sections (TA 4.9 5.0 5.0 5.0 4.9 4.9 4.9 4.8 4.8 4.8 4.8 4.6 4.6 4.7 3.2 3.2 3.1 3.2 3.2 3.1 3.1 7-9 7-9 7-9 5.5 5.5 5.6 5.5 185 178 177 166 137 152 162 TTT Instructors, Lower Division classes 4.4 5.2 4.1 4.0 4.8 3.9 5.2 3.8 3.8 4.3 2.8 3.2 2.9 2.5 2.8 10-12 5.8 5.9 5.9 5.9 2 1 1 1 1 TTT Instructors, Upper Division classes 5.1 5.0 5.0 4.9 4.9 4.7 4.8 4.9 4.7 4.7 4.5 4.4 3.1 3.1 2.9 3.0 3.1 2.9 7-9 4-6 5.6 5.5 5.6 5.5 51 38 37 43 27 39 TTT Instructors, Graduate classes 5.2 5.3 5.1 5.4 5.4 5.1 5.2 4.9 5.2 5.0 3.6 3.6 3.5 3.7 3.6 7-9 5.4 5.5 5.8 5.4 27 26 27 25 24 sections excluded) 5.0 4.9 4.9 4.6 4.6 4.6 3.2 3.1 3.1 7-9 7-9 7-9 179 191 196 4.9 4.6 3.0 7-9 184 4.9 4.6 3.0 7-9 193 5.0 4.6 3.0 7-9 199 5.0 4.7 3.0 7-9 191 5.1 4.7 3.0 7-9 205 5.0 4.7 3.1 7-9 204 5.0 4.7 3.1 7-9 192 5.1 4.8 3.2 7-9 209 5.1 4.8 3.1 7-9 204 5.2 4.8 3.2 7-9 237 4.0 3.9 2.9 10-12 1 3.7 3.3 2.7 7-9 2 4.1 3.4 2.8 4-6 2 4.5 4.0 2.5 7-9 2...
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...| 4.5 | 6.4 | 4.7 | 4.2 | 5.4 | 5.2 | 5.4 | 2.3 | 4.2 | 5.3 | 6.4 | 4.5 | 4.5 | 4.7 | 4.7 | 4.2 | 4.2 | 5.2 | 5.2 | 4.8 | 4.2 | 5.4 | 5.2 | 4.7 | 3.5 | 6.4 | 6.4 | 4.7 | 4.5 | 4.7 | 4.7 | 5.4 | 5.4 | 5.2 | 5.4 | 3.7 | 4.5 | 5.3 | 4.7 | 5.2 | 5.4 | 5.3 | 6.4 | 6.4 | 4.2 | 6.4 | 5.2 | 5.2 | 4.5 | 5.2 | 4.7 | 5.3 | 5.4 | 5.2 | 5.4 | 4.7 | 4.2 | 6.4 | 6.4 | 6.4 | 4.5 | 5.2 | 4.7 | 5.2 | 4.2 | 5.3 | 5.2 | 4.7 | 4.2 | 4.7 | 5.2 | 5.4 | 3.5 | 6.4 | 6.4 | 6.4 | 4.5 | 5.2 | 4.7 | 4.7 | 5.4 | 1.2 | 5.4 | 5.2 | 4.2 | 2.4 | 5.2 | 5.4 | 3.5 | 5.3 | 6.4 | 5.4 | 4.2 | 6.4 | 5.2 | 4.2 | 2.3 | 5.2 | 5.3 | 4.2 | 4.5 | 5.2 | 4.7 | 3.5 | 5.4 | 6.4 | 6.4 | 4.2 | 4.2 | 5.2 | 5.2 | 2.3 | 6.7 | 5.3 | 4.7 | 4.5 | 2.1 | 4.7 | 5.4 | 5.4 | 2.5 | 6.4 | 6.4 | 4.2 | 3.1 | 5.2 | 4.7 | 4.5 | 5.5 | 4.7 | 6.4 | 5.4 | 5.7 | 5.4 | 5.2 | 4.2 | 4.8 | 6.4 | 4.7 | 4.5 | 4.6 | 4.7 | 5.4 | 4.2 | 2.2 | 5.2 | 6.4 | 4.2 | 2.5 | 5.2 | 4.7 | 3.5 | 2.6 | 6.4 | 5.2 | 4.5 | 2.8 | 4.7 | 4.7 | 5.4 | 2.9 | 5.4 | 4.7 | 4.2 | 5.4 | 5.2 | 5.4 | 3.5 | 3.1 | 6.4 | 6.4 | 4.2 | 2.5 | 5.2 | 5.3 | 2.3 | 3.8 | 5.3 | 2.3 | 4.5 | 3.4 | 4.7 | 4.5 | 5.4 | 3.6 | 6.4 | 5.4 | 4.2 | 4.2 | 5.2 | 5.2 | 4.5 | 3.5 | 4.7 | 6.4 | 5.4 | 4.2 | 6.4 | 5.2 | 4.2 | 2.3 | 5.2 | 5.3 | 2.3 | 4.5 | 5.3 | 4.7 | 4.2 | 5.4 | 5.2 | 6.4 | 5.4 | 4.2 | 6.4 | 5.2 | 4.2 | 6.7 | 5.2 | 4.7 | 2.3 | 2.1 | 5.3 | 5.4 | 4.5 | 2.5 | 4.7 | 6.4 | 4.2 | 3.1 | 5.2 | 4.7 | ...
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...PORTILLA MUJICA LÓPEZ OVALLE MONTERO PAREDES ROJAS PERIC MALUK RIQUELME LLARLLURI RODRÍGUEZ VARAS SAID ERRÁZURIZ SANTA CRUZ NAPPE SCHWARZHAUPT ANTÚNEZ SMITH BARRIGA SMITH FRONTAURA SOLER CONN P1 5.4 4.1 4.8 3.1 4.6 5 5.8 4.7 3.5 5.2 4.6 7.4 4.4 4.3 5.7 5.3 4.9 1.9 5.2 7.5 5.2 3.7 5.1 4.9 5 5.1 5.5 5.8 4.7 4.7 0 5.1 4.3 4.5 4.7 5.3 4 6.9 4.3 3.5 5.4 6.8 3.2 5.3 7 7 4.9 P2 4.5 4.9 5.5 4.9 2.3 4.6 6.1 5.7 6.1 5.1 2.8 5.3 5.1 4.9 5.6 4.3 6.3 5 3.7 6 6.5 5.5 5.2 4.9 6.1 6.8 5.1 4.1 5.1 4.9 3.9 6.1 4.9 4.4 5.9 4.9 3.8 4.3 4.1 5.9 4.8 4.9 5.8 6 5.4 7 5.9 5.5 6.7 Control 7 5.6 Examen 2.7 4.1 3.5 3.9 2.5 4.6 3.1 5.2 5.1 3.9 3.9 1.8 4.1 3.3 3.7 2.8 3 4.3 1.9 3.3 7 4.1 3 4.8 5.5 2.8 3.3 3.1 2.4 3.7 3.5 3.5 2.9 4.1 3 4.2 3.9 3.8 3.6 7 2.6 3.7 4.5 3 2.5 2.2 3.6 4.7 1.3 Final 4.0 4.3 4.5 4.0 3.0 4.7 4.7 5.2 4.9 4.6 3.8 4.4 4.5 4.1 4.8 4.0 4.0 4.7 2.9 4.6 7.0 4.8 3.8 4.8 5.6 4.6 4.3 4.0 4.1 4.7 4.0 4.6 3.5 4.5 4.2 4.5 4.3 4.4 3.9 6.7 3.7 4.0 5.1 5.0 3.5 4.5 5.2 5.6 3.9 STANLEY CALVO SUSBIELLES PINOCHET URMENETA RAVEAU URRUTIA DA BOVE VALECH ALONSO VALENZUELA GONZÁLEZ VALENZUELA LEÓN VÉLIZ NIKLITSCHEK VIO BERRIOS 5.9 6 4.2 3.9 4.8 5.4 5.4 5.9 6.1 5.5 5.5 5.7 6.6 4.3 4.7 3.1 5.5 6.1 4.3 3.3 2.4 4.2 4.1 4.5 3.6 3.5 3 6.1 4.7 4.3 4.6 4.8 4.5 4.4 4.0 4.6 6.1...
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...extrinsic and overall components of each regression output. Benefits and Intrinsic Job Satisfaction Regression output from Excel Benefits Intrinsic 5.4 5.5 6.2 5.2 2.3 5.3 4.5 4.7 5.4 5.5 6.2 5.2 2.3 2.1 4.5 4.7 5.4 5.4 6.2 6.2 6.2 5.2 2.3 5.3 4.5 4.7 5.4 5.4 6.2 5.5 6.2 5.2 5.4 5.3 6.2 4.7 2.3 5.5 2.3 4.7 4.5 5.3 2.3 4.7 4.5 4.7 5.4 5.5 6.2 5.2 2.3 2.1 4.5 4.7 5.4 5.4 6.2 6.2 2.3 5.2 4.5 5.3 5.4 4.7 6.2 5.4 6.2 6.2 4.5 5.2 5.4 5.3 6.2 4.7 2.3 5.2 4.5 5.3 5.4 5.3 SUMMARY OUTPUT Regression Statistics Multiple R 0.468795174 R Square 0.219768915 Adjusted R Square 0.199236518 Standard Error 0.713005621 Observations 40 ANOVA df SS MS F Significance F Regression 1 5.44142339 5.44142339 10.70352 0.002279584 Residual 38 19.31832661 0.508377016 Total 39 24.75975 Coefficients Standard Error t Stat P-value Intercept 3.866348351 0.385522375 10.02885592 3.15E-12 Benefits 0.254462373 0.077778626 3.271623399 0.00228 Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 3.085899112 4.64679759 3.085899112 4.646798 Benefits 0.097007778 0.411916969 0.097007778 0.411917 Graph Benefits and Extrinsic Job Satisfaction Regression output from Excel Benefits Extrinsic 5.4 5.5 6.2 4.6 2.3 5.7 4.5 5.6 5.4 5.5 6.2...
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... * The mean yearly value using the average unemployment rate by month Year (x) | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Annual (y) | 1948 | 3.4 | 3.8 | 4.0 | 3.9 | 3.5 | 3.6 | 3.6 | 3.9 | 3.8 | 3.7 | 3.8 | 4.0 | 3.75 | 1949 | 4.3 | 4.7 | 5.0 | 5.3 | 6.1 | 6.2 | 6.7 | 6.8 | 6.6 | 7.9 | 6.4 | 6.6 | 6.05 | 1950 | 6.5 | 6.4 | 6.3 | 5.8 | 5.5 | 5.4 | 5.0 | 4.5 | 4.4 | 4.2 | 4.2 | 4.3 | 5.21 | 1951 | 3.7 | 3.4 | 3.4 | 3.1 | 3.0 | 3.2 | 3.1 | 3.1 | 3.3 | 3.5 | 3.5 | 3.1 | 3.28 | 1952 | 3.2 | 3.1 | 2.9 | 2.9 | 3.0 | 3.0 | 3.2 | 3.4 | 3.1 | 3.0 | 2.8 | 2.7 | 3.03 | 1953 | 2.9 | 2.6 | 2.6 | 2.7 | 2.5 | 2.5 | 2.6 | 2.7 | 2.9 | 3.1 | 3.5 | 4.5 | 2.93 | 1954 | 4.9 | 5.2 | 5.7 | 5.9 | 5.9 | 5.6 | 5.8 | 6.0 | 6.1 | 5.7 | 5.3 | 5.0 | 5.59 | 1955 | 4.9 | 4.7 | 4.6 | 4.7 | 4.3 | 4.2 | 4.0 | 4.2 | 4.1 | 4.3 | 4.2 | 4.2 | 4.37 | 1956 | 4.0 | 3.9 | 4.2 | 4.0 | 4.3 | 4.3 | 4.4 | 4.1 | 3.9 | 3.9 | 4.3 | 4.2 | 4.13 | 1957 | 4.2 | 3.9 | 3.7 | 3.9 | 4.1 | 4.3 | 4.2 | 4.1 | 4.4 | 4.5 | 5.1 | 5.2 | 4.30 | 1958 | 5.8 | 6.4 | 6.7 | 7.4 | 7.4 | 7.3 | 7.5 | 7.4 | 7.1 | 6.7 | 6.2 | 6.2 | 6.84 | 1959 | 6.0 | 5.9 | 5.6 | 5.2 | 5.1 | 5.0 | 5.1 | 5.2 | 5.5 | 5.7 | 5.8 | 5.3 | 5.45 | 1960 | 5.2 | 4.8 | 5.4 | 5.2 | 5.1 | 5.4 | 5.5 | 5.6 | 5.5 | 6.1 | 6.1 | 6.6 | 5.54 |...
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...Unit 1 - Fundamentals of Statistics Abstract To examine and analyze the results of a survey by focusing on the qualitative and quantitative data. Introduction Data collection is extremely important. Many people use some form of data collection to help support an argument, for research, for planning purposes, etc. People use data collection for many different reasons. However when using data collection one must ensure that the data collected is accurate and unbiais. Chosen Variables The variables that I chose to analyze was gender and intrinsic. This data shows job satisifaction ratings from the male’s point of view and the female’s point of view. As a female in corporate America I was very interested to see how much of a difference would there be when it comes to job satisfaction from each gender’s point of view. We often hear that sometimes men are giving a better advantage over women so I would like to analyze the data to see if there is a significant difference between the two genders. Difference in variable types Qualitative variables and quantitative variables vary because of how it measured. Qualitative variables tend to have a greater influence on the outcome because of its ability to affect other parameters of the study. While quantitative variables are purely mathematical data or data that can be measured.. Qualitative research is typically suggested in earlier phases of research since the research may not know EXACTLY what he or she is...
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...FIGURE 1.1 FIGURE 1.2 FIGURE 1.3 FIGURE B1.1.1 FIGURE 1.4 FIGURE 1.5 FIGURE 1.6 FIGURE 1.7 FIGURE B1.3.1 FIGURE B1.3.2 FIGURE 1.8 FIGURE 1.9 FIGURE 1.10 FIGURE 1.11 FIGURE 1.12 FIGURE 1.13 FIGURE B1.4.1 FIGURE B1.4.2 FIGURE B1.8.1 FIGURE B1.8.2 FIGURE 1.14 FIGURE 1.15 FIGURE 1.16 FIGURE 1.17 FIGURE 1.18 FIGURE 1.19 FIGURE 1.20 FIGURE 1.21 FIGURE 1.22 FIGURE 1.23 FIGURE 1.24 FIGURE 1.25 FIGURE B1.9.1 Despite some Q1 weakening, business sentiment in Europe and the US signals further expansion Economic activity is strengthening from very weak levels in Europe Inflation and unemployment trends are on divergent paths across major economies Net capital flows and net financial exposures (width of arrows proportional to amounts in billions of U.S. dollars) Developing country activity is strengthening but at a modest pace Manufacturing surveys are pointing to continued expansion in East Asia and South Asia Output gaps remain small in most developing regions Capital flows have recovered strongly after a steep fall in February Currency depreciations were more modest during the winter turmoil among countries that reduced external imbalances Distribution of changes in developing country bilateral exchange rates with the US$ Most developing country equity markets have fully recouped losses since mid-2013 Borrowing costs have fallen since the start of the year for developing countries Metal prices have extended their falls while food prices have turned up Commodity exporters have suffered...
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...R version 3.2.2 (2015-08-14) -- "Fire Safety" Copyright (C) 2015 The R Foundation for Statistical Computing Platform: i386-w64-mingw32/i386 (32-bit) R 是免費軟體，不提供任何擔保。 在某些條件下您可以將其自由散布。 用 'license()' 或 'licence()' 來獲得散布的詳細條件。 R 是個合作計劃，有許多人為之做出了貢獻。 用 'contributors()' 來看詳細的情況並且 用 'citation()' 會告訴您如何在出版品中正確地參照 R 或 R 套件。 用 'demo()' 來看一些示範程式，用 'help()' 來檢視線上輔助檔案，或 用 'help.start()' 透過 HTML 瀏覽器來看輔助檔案。 用 'q()' 離開 R。 > fb=read.table("facebkincreases.txt",header=T,sep="\t") > fb Country Percent 1 United Kingdom 31 2 Canada 9 3 Turkey 23 4 Australia 43 5 Colombia 246 6 Chile 2197 7 France 92 8 Norway 7 9 Sweden 4 10 Mexico 69 11 Venezuela 683 12 South Africa 33 13 Egypt 31 14 Denmark 92 15 Spain 132 16 India 42 17 Germany 44 18 Israel 42 19 Italy 139 > boxplot(fb) > y=norm(100,mean=0,sd=1) Error in norm(100, mean = 0, sd = 1) : unused arguments (mean = 0, sd = 1) > y=rnorm(100,mean=0,sd=1) > y [1] -1.84744960 -0.65573947 -0.98455577 0.75310184 -0.49651831 -0.96177503 [7] -0.91889840 -0.71111228 -0.71172276 -0.12506692 -0.26941086 0.80957609 [13] -0.25997241 -0.06280812 2.66102986 -0.55433689 -0.08203630 -1.00075988 [19] -2.87532241 -0.23712899 1.75110254 -0.40726059 0.92780826...
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...------------------------------------------------- Top of FormBottom of Form | Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Annual | 2002 | 5.7 | 5.7 | 5.7 | 5.9 | 5.8 | 5.8 | 5.8 | 5.7 | 5.7 | 5.7 | 5.9 | 6.0 | | 2003 | 5.8 | 5.9 | 5.9 | 6.0 | 6.1 | 6.3 | 6.2 | 6.1 | 6.1 | 6.0 | 5.8 | 5.7 | | 2004 | 5.7 | 5.6 | 5.8 | 5.6 | 5.6 | 5.6 | 5.5 | 5.4 | 5.4 | 5.5 | 5.4 | 5.4 | | 2005 | 5.3 | 5.4 | 5.2 | 5.2 | 5.1 | 5.0 | 5.0 | 4.9 | 5.0 | 5.0 | 5.0 | 4.9 | | 2006 | 4.7 | 4.8 | 4.7 | 4.7 | 4.6 | 4.6 | 4.7 | 4.7 | 4.5 | 4.4 | 4.5 | 4.4 | | 2007 | 4.6 | 4.5 | 4.4 | 4.5 | 4.4 | 4.6 | 4.7 | 4.6 | 4.7 | 4.7 | 4.7 | 5.0 | | 2008 | 5.0 | 4.9 | 5.1 | 5.0 | 5.4 | 5.6 | 5.8 | 6.1 | 6.1 | 6.5 | 6.8 | 7.3 | | 2009 | 7.8 | 8.3 | 8.7 | 8.9 | 9.4 | 9.5 | 9.5 | 9.6 | 9.8 | 10.0 | 9.9 | 9.9 | | 2010 | 9.7 | 9.8 | 9.8 | 9.9 | 9.6 | 9.4 | 9.5 | 9.6 | 9.5 | 9.5 | 9.8 | 9.4 | | 2011 | 9.1 | 9.0 | 8.9 | 9.0 | 9.0 | 9.1 | 9.1 | 9.1 | 9.0 | 8.9 | 8.7 | 8.5 | | 2012 | 8.3 | 8.3 | 8.2 | 8.1 | 8.2 | 8.2 | | | | | | |...
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...| The Effects of the Economy on Divorce Rates | | | = | I. Introduction Divorce has become quite common over the last few decades in the United States, as well as in other industrialized countries. It is often discussed as a social problem or phenomenon, with its causes usually related to cultural and structural changes such as increased female labor force participation and legislation which makes divorce easier to obtain. Furthermore, divorce today has become more socially accepted, as individuality has become the dominant value in our capitalist society. Despite the social acceptance of divorce, I think most would agree with me in stating that divorce is not desirable, as it causes emotional, physical and financial strains not only on those directly involved, but on their children and extended families as well. In this paper, I investigate the relationship between divorce and economic cycles in the United States from 1950 to 2000. My intention is to discover whether and how divorce rates change in periods of economic recession, as compared to periods of economic growth. It is important to look into further trends in divorce rates, as its increase over time may not simply be an issue of social and cultural changes, but rather another one of the effects of the economy on the family unit in the United States. My hypothesis is that divorce rates will decrease in periods of economic growth, as a husband's increased income has been identified to have a stabilizing...
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...Rojas, Jeannette Santos, Sheah Sean Silorio, Nicole Sugabo, Roselle Christ Tampus, Mariz Stephanie System Report Project I. The System Area The entity that we have chosen as the system area is the Pilar College Library. The library serves as an information center for the whole academic community. It is supervised by professional librarians and its support staff. The library staff believes that a library performs its function well when it makes its resources relevant to the information needs of the clientele. Sources alone do not make a library. It is when people interact with sources- librarians guiding the users in utilizing its collection-make the true meaning of the library as an INFORMATION SERVICE. The history was silent regarding the year in which the school actually started to have a library. II. The Old System The business functions of the libraries are the borrowing/loaning and returning of books. They record the students who entered the library using a log book in which students write down respective names and courses. It is to be noted that a borrower’s card is given to all library users at the beginning of the school year. In borrowing, students are expected to present their borrower’s card to the librarian assigned (for writing the book title and stamp the due date therein). After that the student/s can already take home the book borrowed. On returning of books, the student/s should make sure that the card was signed by the librarian before...
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...|Single Parenting and Unemployment | |State and Local Government | |Summer PSCI202-49X | |Sara Crook | |Mackenzie Rae Cooper | |7/20/2011 | |States that have a higher percentage of single parent families and/or unemployed are more likely to have higher welfare rates. | Introduction This paper will research how the percentages differ between unemployed single parent family homes opposed to homes where there is more than one parent living on a state to state basis and the relationship to welfare expenditures of each state. Because I’m a single parent receiving welfare it has intrigued me as to how many others out that are in my situation. I feel that welfare is being abused by many and there shall...
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...Global Journal of Researches in Engineering: G Industrial Engineering Volume 14 Issue 3 Version 1.0 Year 2014 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 2249-4596 & Print ISSN: 0975-5861 Improving Quality and Productivity in Manufacturing Process by using Quality Control Chart and Statistical Process Control Including Sampling and Six Sigma By Ghazi Abu Taher & Md. Jahangir Alam Khulna University of Engineering & Technology, Bangladesh Abstract- The aim of study is to find out the effective way of improving the quality and productivity of a production line in manufacturing industry. The objective is to identify the defect of the company and create a better solution to improve the production line performance. Various industrial engineering technique and tools is implementing in this study in order to investigate and solve the problem that occurs in the production. However, 7 Quality Control tools are the main tools that will be applied to this study. Data for the selected assembly line factory are collected, studied and analyzed. The defect with the highest frequency will be the main target to be improved. Various causes of the defect will be analyzed and various solving method will be present. The best solving method will be chosen and propose to the company and compare to the previous result or production. However, the implementation of the solving methods is depending on the company whether they...
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...Global Economics January 2012 The World in 2050 From the Top 30 to the Top 100 A new economic world order is emerging at extraordinary speed. This publication broadens our list of the world’s top 30 economies to the top 100. The underlying theme is that the economies we currently call “emerging” are going to power global growth over the next four decades. Our update tells the story of the emergence of parts of Africa, the rise of some of the central Asian republics, as well as some startling advances for countries such as the Philippines and Peru. By Karen Ward Disclosures and Disclaimer This report must be read with the disclosures and analyst certifications in the Disclosure appendix, and with the Disclaimer, which forms part of it Economics Global 11 January 2012 abc From the Top 30 to the Top 100 Attention will increasingly turn to the ‘new emergers’ as the world economy undergoes a seismic shift Demographics to play a crucial role, helping parts of Africa finally emerge from economic obscurity When we published ‘The World in 2050’ a year ago (4 January 2011), we gave a projection for the Top 30 economies by size in 2050 from a pool of the largest 40 economies today. This update casts a wider net and seeks to identify the Top 100 economies by size. A larger universe increases competition for the Top 30 and allows us to consider the ‘new emergers’ in the coming decades. Our ranking is based on an economy’s current level of development and...
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