Concentration of bromophenol blue (mg/L) 0.0 2.0 4.0 6.0 8.0 10.0 Absorbance at 590 nm (Amax of bromophenol blue) 0.000 0.135 0.199 0.404 0.596 0.724 From Figure 2 above‚ the molar absorptivity of bromophenol blue at 590nm is the gradient of the linear regression line which is 0.0744 L mg-1 cm-1. Part 3: Determination of the concentration of the bromophenol blue solutions of unknown concentration By plotting on the standard concentration curve from Part 2‚ the concentration of bromophenol blue
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Integer Programming 9 The linear-programming models that have been discussed thus far all have been continuous‚ in the sense that decision variables are allowed to be fractional. Often this is a realistic assumption. For instance‚ we might 3 easily produce 102 4 gallons of a divisible good such as wine. It also might be reasonable to accept a solution 1 giving an hourly production of automobiles at 58 2 if the model were based upon average hourly production‚ and the production had the interpretation
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IBA134 Business Statistics OUA Study Period 2 (SP2)‚ 2013 Computer Assignment (Worth 15% of the overall assessment for the unit) Due date: 5pm (QLD time) on Sunday 11‚ August 2013 Instructions: • All numerical calculations and graphs/plots should be done using EXCEL. • A hard copy of your completed assignment must be submitted electronically with the Griffith OUA Cover Sheet (available in the Assessment section of the unit website) attached as the 1st page
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demand and increase of online shoppers‚ forecasting oil and gas prices are necessary. Organizations in this type of industry can research and forecast oil and gas prices by creating projected reports for the next ten years. By using a scatterplot and linear regression line‚ companies can predict the increase of gas prices thus come up with various strategies to stay competitive. The most significant factor in the production of gas is crude oil. The prices in gas fall and rise due to the cost of
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blind (or group-blind) linear multiuser detection‚ the detector is estimated from the received signals‚ with the prior knowledge of only the signature waveform of the desired user (or the signature waveforms of some but not all users). The performance of a number of such estimated linear detectors‚ including the direct-matrix-inversion (DMI) blind linear minimum mean square error (MMSE) detector‚ the subspace blind linear MMSE detector‚ and the form-I and form-II group-blind linear hybrid detectors‚ are
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Scatter Diagram and Types of Relationships 4.3 Correlation Coefficient 4.4 Interpretation of Correlation Coefficient 4.5 Definition of Regression Analysis 4.6 Dependent and Independent Variables 4.7 Simple Linear Regression: Least Squares Method 4.8 Using the simple Linear Regression equation 4.9 Cautionary Notes and Limitations OBJECTIVES By the end of this chapter‚ you will be able to: 1 determine the strength and nature of the association between the variables.
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Name: __________________________________________ Algebra Keystone Exam Review 1) Simplify the expression: √ √ √ √ A) √ B) √ C) √ D) A right triangle has one leg that is twice the length of the other leg. If the hypotenuse is √ ‚ find the length of the longer leg. 2) A) 8 B) 16 C) 4 D) 32 3) Which statement has the largest value of x? A) √ B) √ C) √ √ D) √ √ 4) Simplify: ( √ ) A) B) C)
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MAST10007 Linear Algebra MATLAB Test Test duration: 45 minutes This paper has 6 test pages Please complete all the following details. Name: Student Number: Tutor’s Name: Tutorial Time and Day: ..................................................... ..................................................... ..................................................... ..................................................... Instructions to Students: This examination is designed to test your ability to calculate efficiently
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to use the law of iterated expectations in proving the BLUE. With Assumptions (B)‚ the BLUE is given conditionally on Let us use Assumptions (A). The Gauss-Markov Theorem is stated below Under Assumptions (A)‚ the OLS estimators‚ are the Best Linear Unbiased Estimator (BLUE)‚ that is 1. Unbias : 2. Best : Real data seldomly satisfy Assumptions (A) or Assumptions (B). Accordingly we should think that the Gauss-Markov theorem only holds in the never-never land. However‚ it is important
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38 out of 40 points Instructions Question 1 .2 out of 2 points The standard form for the computer solution of a linear programming problem requires all variables to be to the right and all numerical values to be to the left of the inequality or equality sign Answer Selected Answer: False Correct Answer: False . Question 2 .2 out of 2 points In a balanced transportation model‚ supply equals demand such that all constraints can be treated as equalities
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