Variables 1 Corporate variables ADD1 -- Address Line 1 ADD2 -- Address Line 2 ADD3 -- Address Line 3 ADD4 -- Address Line 4 ADDZIP -- Postal Code BUSDESC -- S&P Business Description CITY -- City CONML -- Company Legal Name COUNTY -- County Code DLRSN -- Research Co Reason for Deletion EIN -- Employer Identification Number FAX -- Fax Number FYRC -- Current Fiscal Year End Month GGROUP -- GIC Groups GIND -- GIC Industries GSECTOR -- GIC Sectors GSUBIND -- GIC
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Two Variable Inequality Katherine Courtney MAT221 Phil Le August 25‚ 2013 Inequalities are equations that can be used to determine not just what something could equal but what something cannot equal. It tells us what the relative size is of two values and if they are big or small‚ too much or not enough. Inequalities could make it easier to determine how much someone might need of something in order to make a certain amount of something‚ while also determining
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Abstract The main two reasons for the companies to implement variable pay plan are: motivating employees and reducing cost. In this paper we try to point out the challenges the organizations might face when they apply variable pay system by reviewing related literature. We find that it is difficult for the company to have a reliable measure for the variable pay system. In addition‚ the focus of the variable pay plan should be on motivating employees or cutting cost and how to strike a balance between
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Michael Lewis PT 1420 Intro to Programming Unit 2 Research (Variable Naming Rules) Python: Must begin with a letter (a - z‚ A - B) or underscore (_); other characters can be letters‚ numbers or _; Case Sensitive; Can be any (reasonable) length; There are some reserved words which you cannot use as a variable name because Python uses them for other things. Visual Basic: You must use a letter as the first character. You can’t use a space‚ period (.)‚ exclamation mark (!)‚ or the characters @‚ &‚
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Inequalities are equations that can be used to determine not just what something could equal but what something cannot equal. It tells us what the relative size is of two values and if they are big or small‚ too much or not enough. Inequalities could make it easier to determine how much someone might need of something in order to make a certain amount of something‚ while also determining how much more might be needed or how much be left. For example‚ if someone wanted to make cupcakes and flat
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Use of Dummy Variables in Testing for Equality Between Sets of Coefficients in Linear Regressions: A Generalization Author(s): Damodar Gujarati Source: The American Statistician‚ Vol. 24‚ No. 5 (Dec.‚ 1970)‚ pp. 18-22 Published by: American Statistical Association Stable URL: http://www.jstor.org/stable/2682446 . Accessed: 09/07/2013 18:34 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use‚ available at . http://www.jstor.org/page/info/about/policies/terms
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Measuring haemodynamic variables using different techniques and examining the effects of diving reflex‚ isometric muscle contraction and psychological stress on these variables. Introduction Haemodynamics is the study of factors that determine the movement of blood (Widmaier et al‚ 2011). The main haemodynamic factors are heart rate and blood pressure. Heart rate is defined as the number of times the heart contracts per minute. Normal resting heart rate in adults ranges between 60 – 100 beats
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Group Assignment (Groups of five) a) Come up with a research topic b) From the topic indicate the following 1) The dependent variable 2) The independent variable 3) The extraneous variable 4) The Moderating variable 5) The Intervening Variable Research Topic Impact of a tattoo on a helping request‚ Strohmetz‚ D. B.‚ & Moore‚ M. P. (2003‚ March) A psychologist wondered how people would respond to people with tattoos‚ so he studied
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Types of Variables Binary variable Obsevations (i.e.‚ dependent variables) that occur in one of two possible states‚ often labelled zero and one. E.g.‚ “improved/not improved” and “completed task/failed to complete task.” Categorical Variable Usually an independent or predictor variable that contains values indicating membership in one of several possible categories. E.g.‚ gender (male or female)‚ marital status (married‚ single‚ divorced‚ widowed). The categories are often assigned numerical
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descrip DESCRIPTIVES VARIABLES=StudentPreparationSP GPA FBT /STATISTICS=MEAN STDDEV MIN MAX KURTOSIS SKEWNESS. Descriptives Notes | Output Created | 14-NOV-2012 14:18:38 | Comments | | Input | Active Dataset | DataSet1 | | Filter | <none> | | Weight | <none> | | Split File | <none> | | N of Rows in Working Data File | 764 | Missing Value Handling | Definition of Missing | User defined missing values are treated as missing. | | Cases Used | All
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