http://www.mathsisfun.com/data/standard-normal-distribution-table.html (Z table) http://www.sjsu.edu/faculty/gerstman/StatPrimer/t-table.pdf (t table) Critical Values (Z) Level of Significance 1% 2% 4% 5% 10% Two Tailed ±2.56 ±2.32 ±2.05 ±1.96 ±1.64 Right tailed +2.32 +2.05 +1.75 +1.64 +1.28 Left tailed -2.32 -2.05 -1.75 -1.64 -1.28 Q1) A cinema hall has cold drinks fountain supplying Orange and Ditzy Colas. When the machine is turned on‚ it fills a 550ml cup with 500ml of the
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THE VIETNAMESE STOCK MARKET By Roberta S. Karmel Thirty years ago‚ I never imagined I would be visiting Vietnam and be warmly welcomed as an American‚ witnessing a nation enjoying economic growth and increasing prosperity‚ despite some of the lingering ill effects of Agent Orange in the countryside. Yet‚ last month‚ as part of a delegation from the Financial Women’s Association‚ I had the good fortunate to travel to Vietnam and meet with government officials and others and learn about business developments
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• How to Deal with High Oil Prices? • Multinational Corporations: Are they Devils in Disguise? • Are Indians Less Quality Conscious? • Ethics in Business are just a Passing Fad • Is the Consumer really the King in India? • Commercialization of Health Care: Good or Bad? • Is there any Point in having a Business Strategy when the World changes from Month to Month? • Is the Patents Bill Good for India? • Is the Business of Business only Business? • Public Sector being a Guarantor of Job Security
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Types of regression and linear regression equation 1. The term regression was first used as a statistical concept in 1877 by Sir Francis Galton. 2. Regression determines ‘cause and effect’ relationship between variables‚ so it can aid to the decision-making process. 3. It can only indicate how or to what extent variables are associated with each other. 4. There are two types of variables used in regression analysis i.e. The known variable is called as Independent Variable and the variable which
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To reduce the petroleum price not only government but people also must work hard about this problem. Steps must be taken by the government are:. 1. Government must work hard to depend on other sources like solar-energy‚ water (which are renewable sources). 2. Recently a Pakistani engineer Waqar Ahmad developed a vehicle that uses water as fuel. He claimed that on one litre of water a 1000 CC car can cover a distance of 40 km and a motorbike can run up to 150 km using this technology.
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analyzed and presented in class by teams. You should read and get yourself familiar with the case before the class‚ READINGS – You will be assigned 2 articles to discuss in class. PROJECT – Identify an emerging technology as a team and develop a forecast using Technology Forecasting Tools. Examples of such projects will be provided.Your team is required to present the progress and results of your project during the scheduled times in class. Progress presentations should not exceed 20 minutes and
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Poisson Regression This page shows an example of poisson regression analysis with footnotes explaining the output. The data collected were academic information on 316 students. The response variable is days absent during the school year (daysabs)‚ from which we explore its relationship with math standardized tests score (mathnce)‚ language standardized tests score (langnce) and gender . As assumed for a Poisson model our response variable is a count variable and each subject has the same length
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Nonlinear regression From Wikipedia‚ the free encyclopedia Regression analysis Linear regression.svg Models Linear regression Simple regression Ordinary least squares Polynomial regression General linear model Generalized linear model Discrete choice Logistic regression Multinomial logit Mixed logit Probit Multinomial probit Ordered logit Ordered probit Poisson Multilevel model Fixed effects Random effects Mixed model Nonlinear regression Nonparametric Semiparametric Robust Quantile Isotonic
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engaged into the activity of a purchasing‚ there are different levels of purchasing involvement that impacts their decision process. This level includes high and low level of involvement. In this essay I shall choose two recent purchases of commodities: Dell laptop and phone case‚ where my level of purchase involvement is characterised as either high or low. Based on my consumption experience I will critically evaluating factors that I took into consideration in each case of purchase involvement. Finally
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linear (i.e. if the relationship between y and x is linear). Next perform residual analysis and test for violation of assumptions. (Let y = arterial oxygen and x = blood flow). twoway (scatter y x) (lfit y x) regress y x rvpplot x 2. Since regression diagnostics failed‚ we transform our data. Ratio transformation was used to generate the dependent variable and reciprocal transformation was used to generate the independent variable. 3. Check if the model is adequate by checking the t-statistic
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