THE GDP – AN ANALYSIS OF ITS RELATION TO CO2 EMISSIONS, CAR OWNERSHIP AND URBAN POPULATION Research Methods and Statistics WS 2011/2012 15.03.2012 Prof. Irene Peters Mostafa El Gamal Matriculation number: 6005342 Master of Science REAP (Resource efficiency in architecture and planning) Contents Introduction .................................................................................................................................................. 2 1. Collected data overview
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research may contain a theoretical lens, such as a focus on feminist, racial, or class issues, that guides the entire study. I begin this chapter by focusing on theory use in a quantitative study. It reviews a definition of a theory, the use of variables in a quantitative study, the placement of theory in a quantitative study, and the alternative forms it might assume in a written plan. Procedures in identifying a theory are next presented, followed by a script of a theoretical perspective section
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Stats Questions II 1.The table below displays a week's worth of data on daily sales at the Crank It Louder Music Store. ??Over that time period, what was the mean daily level of sales? A. ?$3,489.79 ?B. $4,071.42 ?C. $1,643.23 D. $2,829.92 2. The table below displays a week's worth of data on daily sales at the Crank It Louder Music Store. ??Over that time period, what was the median daily level of sales? A. $1,643.23 B. ?$3,489.79 C. ?$3,130.46 D. ?$800.12 3. The histogram below
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Multivariate Discriminant Analysis Priyanshi Gupta An Overview MDA is a statistical technique used to classify an observation into one of the several a priori groupings dependent on the observation’s individual characteristics. It is used primarily to classify and/or make predictions in the problems where dependent variable comes in qualitative form, for example, male or female, bankrupt or non-bankrupt etc. So the first step is to establish explicit group classifications. We have got observations
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increase, productivity and satisfaction will increase? Dependent variable; Salaries A dependent variable is what you measure and what is affected in a research. The dependent variable responds to the independent variable. It is called dependent because it “depends” on the independent variable. In a research, you cannot have a dependent variable without an independent variable Independent variables; Age An independent variable is a variable that a researcher manipulates in order to
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variance of the dependent variable that is explained by the set of independent (predictor) variables D) precision of the resulting model when applied to the validation data 2. Categorical variables can be used in a multiple linear regression model _________. A) by partitioning of the dataset B) when no multicollinearity among the independent variables is present C) when the sample size is at least 10 times that of the number of variables D) through the use of dummy variables 3. In multiple
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increases with it. 3. What would your experimental approach be to test this hypothesis? Control the dissolved oxygen in a body of water with a certain amount of fish. 4. What are the independent and dependent variables? The independent variable is the dissolved oxygen found in the water. The dependent variable is the number of fish observed
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Components of theoretical framework • Variables and its types o Identify and label variables associated with any given situation. • Defining hypothesis o Null and alternative hypothesis • Managerial implications The Steps for Research process –Step 4-5 * Theoretical Framework A theoretical framework represents your beliefs on how certain phenomena (or variables or concepts) are related to each other (a model)and an explanation on why you believe thatthese variables are associated to each other (a
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paper is to use a linear regression analysis test to determine if a significant linear relationship exists between an independent variable which is X, level or years of education, and a dependent variable Y, salaries earned or potentially earned. “It is used to determine the extent to which there is a linear relationship between a dependent variable and one or more independent variables,” (Statistically Significant Consulting, 2010, para. 1). Learning Team C will use the salary and education levels
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wanted to know what effect the different variables had on the student’s GPA, if any. So I decided to a survey of 30 students with varies GPAs, IQs, ages, number of classes being taken and the time they spend studying. My hypothesis statement is that all the independent variables will have the same or no effect on the dependent variable. The alternate statement is that at least one of the independent variables will have an effect on the dependent variable. I have applied a 95% confidence level, which
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