Laboratory Measurements and Density Objectives: A. To determine the density of Aluminum (lit. value = 2.7 g/cm3) by determining its mass‚ and measuring its volume by dimensional analysis and water displacement. We will also examine the % error in our determination based on the literature value. B. To determine the mass and diameter of select ball bearing. Plot graphs of mass vs. diameter‚ mass vs. surface area‚ and mass vs. volume. Afterwards use slop of the mass vs. volume graph to determine density
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Chapter 2: Linear Functions Chapter one was a window that gave us a peek into the entire course. Our goal was to understand the basic structure of functions and function notation‚ the toolkit functions‚ domain and range‚ how to recognize and understand composition and transformations of functions and how to understand and utilize inverse functions. With these basic components in hand we will further research the specific details and intricacies of each type of function in our toolkit and use
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Additional information‚ including supplemental material and rights and permission policies‚ is available at http://ite.pubs.informs.org. Vol. 11‚ No. 1‚ September 2010‚ pp. 35–42 issn 1532-0545 10 1101 0035 informs ® doi 10.1287/ited.1100.0053 © 2010 INFORMS INFORMS Transactions on Education Teaching Note Spreadsheet Modeling to Determine the Optimum Hotel Room Rate for a Short High-Demand Period Thin-Yin Leong‚ Wee-Leong Lee School of Information Systems‚ Singapore Management
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fig.1. Stimulus generalization gradient for subjects that were trained to identify the target length which is of 75 as the dimension of length and were tested in the presence of the other dimensions of length. fig.2. Effect of intradimensional discrimination training on stimulus control. Subjects received discrimination training in which the S- was 85 as the dimension of length‚ keeping the S+ 75 as the dimension of length. 2 . In Figure 1‚ it shows the comparison of the stimulus generalization
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important to our understanding of more advanced concepts (tangents‚ slopes‚ derivatives). Skills described in this introductory material will be required in many contexts. 1.1 Geometric ideas: lines‚ slopes‚ equations Straight lines have some important geometric properties‚ namely: The slope of a straight line is the same everywhere along its length. Definition: slope of a straight line: y ∆y ∆x x Figure 1.1: The slope of a line (usually given the symbol m) is the ratio of the change
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To find the equation of a tangent to a curve: 1) find the derivative‚ 2) find the gradient‚ m‚ of the tangent by substituting in the x-ccordinate of the point; 3) use one of the following formulae to get the equation of the tangent: EITHER y = mx + c OR To find the equation of a normal to a curve: 1) find the derivative ; 2) Substitute in the x-coordinate of the point to find the value of the gradient there. 3) the gradient of the normal is . 4) Use one of the following formulae to get
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Emmitt Smith & His Annual Rushing Yards Emmit Smith announced his retirement February 3‚ 2005. It was a very emotional moment for Smith‚ who has played running back in the NFL for fifteen years (thirteen of those years for the Dallas Cowboys). As Smith announced his retirement tears began to flow down his face stating "It’s been a tremendous ride." Over his career in the NFL‚ Smith has racked up many impressive statistics and awards. Smith has played on three Super Bowl championship teams (including
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1.Slippery Slope The first fallacy is an example of a Slippery Slope (Ad Nauseam or Ad Absurdum). A Slippery slope is when someone’s course of action leads to something unrealistic or outrageous. The character in Twelve Angry Men who committed this fallacy was Yankee. Yankee said “Suppose this whole building fell on my head. You can suppose anything.” Yankee’s claim was a Slippery Slope because it created a domino effect in the movie‚ because the Architect supposes the jurors could have been wrong
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Let us return to the premium toilet soap market in India. Suppose research has discovered an emerging cluster of consumers-young‚ modern‚ well-to-do-who believe that a bath soap should have good-for-skin qualities‚ who even think well of traditional herbs like Neem‚ but would accept it only with much more pronounced cosmetic benefits in terms of perfume‚ lather‚ colour‚ shape and packaging. Recall our discussion on Margo in the previous chapter. Is it possible for a ’dressed-up’ Margo to aim for
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strategy would give us more time and demand information in order for us to make a more holistic forecasting. Since the demand was expected to grow at an approximated linear rate‚ a linear equation i.e. Y = MX +C with C = 0 was used to estimate the slope to forecast the demand trend. This led us to make our first purchase on Day 88 at station 1. However‚ due to a miscalculation and hesitation‚ the purchase was made too late as the utilization of machine at station 1 had already been maximised at 1
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