constant. Then using two different procedures‚ we calculate the value of the force constant k of a spring in our oscillating system. We observed the period of oscillation and use this formula: 2) T=2(m/k) Then we reduced the equation to solve for the value of k by: 3) k=4^2/slope “Slope” represents the slope of the graph in procedure B. k is then the measure of the stiffness of the spring. We can then compare k to that of a vertically stretched spring with various masses M. By using
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300.0+(27/30)-180=120.90 average angle=120.950 c.) 125.0+(30/30)=126.0 305.0+(28/30)-180=125.93 average angle=125.965 3.) Finding Wavelength of Hydrogen Angle=slope(wavelength-2) + intercept a.) 116.485= -2.697x10-8(wavelength-2) + 131.2 wavelength= 4.27E-05 cm b.) 120.950= -2.697x10-8(wavelength-2) + 131.2 wavelength= 4.91E-05 cm c.) 125.965= -2.697x10-8(wavelength-2)
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CHAPTER 6 COST BEHAVIOR TYPES OF COST BEHAVIOR PATTERNS 1. Variable Cost 2. Fixed Cost 3. Mixed / Semi-variable Cost Cost Structure – the relative proportion of fixed‚ variable‚ and mixed costs found within an organization or firm. 1. Variable Cost - its total dollar amount varies in direct proportion to changes in the activity level. Example: Number of Trucks Radiator Cost per Total Radiator
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and activities and their relationship to cost behavior. 3. Separate mixed costs into their fixed and variable components using the high-low method‚ the scatterplot method‚ and the method of least squares. 4. Evaluate the reliability of the cost formula. 5. Explain how multiple regression can be used to assess cost behavior. 6. Define the learning curve‚ and discuss its impact on cost behavior. 7. Discuss the use of managerial judgment in determining cost behavior. CHAPTER SUMMARY THIS CHAPTER
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NAME_________________________________ STAMP________________ PERIOD____ PICTURES & GRAPHS A. The Atom 1. Calculate the average atomic mass using the spectrum below. 2. Answer the questions regarding the energy level diagram shown. a) The emission lines for the series above are in the IR‚ Vis and UV regions. Match the series with the region and justify your choice (FYI – AP you do not need to memorize the names of the series. IB will need to know then for next year). b) Would the wavelength
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(110‚ 0). The graph shows a solid line rather than a dashed line‚ meaning that the points on the line are part of the solution. I have Y as the TVs and X as the refrigerators. The formula used to write an inequality is: y=mx+b m=y2-y1/x2-x1 this tells me that my slope is: y=mx+b y=x+330 Slope intercept form (1)y=(1)+330(1) multiply both sides by 1 Y=-3x+330 Y+3x=3x+3≤330 add both sides by 3 3x+y≤330 linear inequality for my line The next question asked is will the truck
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strong So‚ change of year will give a positive impact on total of births or vice versa. Intercept(a) Births(b) Coefficients Standard Error 1‚987.8356 0.6971 0.0014 0.0001 t Stat 2‚851.4554 20.4132 P-value 0.0000 0.0000 Lower 95% 1‚986.3167 0.0013 Upper 95% Lower 95.0% Upper 95.0% 1‚989.3545 1‚986.3167 1‚989.3545 0.0016 0.0013 0.0016 x=16‚000; a=1987.8356;b=0.0014 Y=2010.34 a is a constant ‚b is the slope (also
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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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cuvette and put it in the SPEC 20 so we could zero out the percent transmittance. We collected the percent transmittance of each dilution using the SPEC20 with a wavelength of 630nm. We calculated the molar concentration of each dilution using the formula M1V1=M2V2 We determined the linear relationship between transmittance and molarity by taking the inverse log(-logT) of percent transmittance(in decimal form). We determined the relationship between transmittance and molarity by graphing the data
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1.1 Definition of a Linear Function A linear function is a function whose graph is a straight line. The equation of a linear function of x can be written in the form f(x) = mx + b or a linear equation y = mx + b where m is the slope and b is the y-intercept. The equation in the form Ax + By = C where A‚ B and C are real numbers is referred to as the general form of a linear equation. We can rewrite a given linear equation Ax + By = C in the form y = mx + b and vice-versa using the basic
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