Grace H. Kim Dec. 15‚ 2011 Abstract Two experiments were conducted to figure out the value of the formation constant of tetraamminecopper(II)‚ Kf‚ with different methods and which experimental method produces more accurate result. One was electrochemistry using a Daniel cell and the other one was spectrometry by estimating concentration of complex solution using a calibration curve. The formation constant of cupric ammine complex Cu(NH3)42+‚ Kf‚ came out with 1.93x10^15 using electrochemical cell
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QUADRATIC EQUATIONS Quadratic equations Any equation of the form ax2 + bx + c=0‚ where a‚b‚c are real numbers‚ a 0 is a quadratic equation. For example‚ 2x2 -3x+1=0 is quadratic equation in variable x. SOLVING A QUADRATIC EQUATION 1.Factorisation A real number a is said to be a root of the quadratic equation ax2 + bx + c=0‚ if aa2+ba+c=0. If we can factorise ax2 + bx + c=0‚ a 0‚ into a product of linear factors‚ then the roots of the quadratic equation ax2 + bx + c=0 can be found
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Equations of State (EoS) Equations of State • From molecular considerations‚ identify which intermolecular interactions are significant (including estimating relative strengths of dipole moments‚ polarizability‚ etc.) • Apply simple rules for calculating P‚ v‚ or T ◦ Calculate P‚ v‚ or T from non-ideal equations of state (cubic equations‚ the virial equation‚ compressibility charts‚ and ThermoSolver) ◦ Apply the Rackett equation‚ the thermal expansion coefficient‚ and the isothermal compressibility
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MATHEMATICAL METHODS PARTIAL DIFFERENTIAL EQUATIONS I YEAR B.Tech By Mr. Y. Prabhaker Reddy Asst. Professor of Mathematics Guru Nanak Engineering College Ibrahimpatnam‚ Hyderabad. SYLLABUS OF MATHEMATICAL METHODS (as per JNTU Hyderabad) Name of the Unit Unit-I Solution of Linear systems Unit-II Eigen values and Eigen vectors Name of the Topic Matrices and Linear system of equations: Elementary row transformations – Rank – Echelon form‚ Normal form – Solution of Linear Systems
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EXPERIMENTAL MANUAL Mass Transfer Lab Diffusion Coefficient Apparatus DEPARTMENT OF CHEMICAL ENGINEERING UNIVERSITY OF GUJRAT‚ GUJRAT. GENERAL OPERATING PROCEDURES General Start-up Procedure: Prior to running an experiment‚ students are advised to perform the following startup procedure. Fill the water with clean (preferably filtered) water to approximately 20 mm from the top. Plug the main cable to the electrical supply. Be sure that the voltage of the supply is correct
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| | |Assignment title | | | | |Simultaneous Equation | | |Programme (e.g.: APDMS) |HND CSD | | |Unit
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Observational Parameters Santosh Takale B. Tech (Mech. Engg.)‚ Scientific Officer‚ Bhabha Atomic Research Centre‚ Mumbai‚ 09967584554 / santoshatbarc@gmail.com Astronomy Studies • Theoretical • Observational – Field Observation Aspects – Required theoretical Aspects Field Observation Aspects • What we are Looking for ? – – – – – – – – Constellations Nakshtras Sunsigns Planets Notable Stars Meteor Shower Galaxies‚ Dwarf Galaxies Messier Objects‚ Nebulae‚ Star Clusters etc. Field
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around 250A.D. started some kind of research on some equations involving more than one variables which would take only integer values.These equations are famously known as “DIOPHANTINE EQUATION”‚named due to Diophantus.The simplest type of Diophantine equations that we shall consider is the Linear Diophantine equations in two variables: ax+by=c‚ where a‚b‚c are integers and a‚b are not both zero. We also have many kinds of Diophantine equations where our main goal is to find out its solutions
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Articles‚ Part 3 Spearman Coefficient Review Student Name Instructor’s Name Institution Date Coyne and Messina Articles‚ Part 3 Spearman Coefficient Review The Spearman Correlation Coefficient remains one of the most important nonparametric measures of statistical dependence between two variables. The Spearman Correlation Coefficient facilitates the assessment of two variables using a monotonic function. This representation is only possible if the variables are perfect monotones of each
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III. The Arrow-Pratt coefficient Considering Bernoulli’s proposition that utility matters over wealth for risky behavior‚ and adding the fact that no two economical agents are alike‚ we can state that risk aversion can vary very widely across individuals. In this section we examine the coefficient determined by the two economists Kenneth arrow and John Pratt. In order to develop models for dealing with risk in business‚ economists need precise measurements which can be used in sectors such as
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