Answers Master of Business Administration- MBA Semester 1 MB0040 - Statistics for Management Q1. A Explain the characteristics of statistics? B. What are the components of statistics? Give a brief description of each of its component’s? Answer: (A) Some of its important characteristics are given below: * Statistics are aggregates of facts. * Statistics are numerically expressed. * Statistics are affected to a marked extent by multiplicity of causes. * Statistics are enumerated
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LINEWEAVER-BURK PLOT A graph of the double reciprocal equation is also called a Lineweaver-Burk‚ 1/Vo vs 1/[S]. The y intercept is 1/VMAX; the x-intercept is 1/ KM; and the slope is KM/VMAX. Lineweaver Burk graphs are particularly useful for analyzing how enzyme kinematics change in the presence of inhibitors‚ competitive‚ noncompetitive‚ or a mixture of the two. There are three reversible inhibitors: competitive
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rises to 4 percent. b) R falls to 1 percent. c) a ¯c increases by 1 percentage point. d) a ¯g decreases by 2 percentage points. e) a ¯im decreases by 2 percentage points. Answer to Problem 1: This is just a straightforward application of the IS formula. You can verify that the changes in short-run output will be as follows: a) A fall of a fall of 1.5 percent. b) An increase of 0.75 percent. c) An increase of 1 percent. d) A decrease of 2 percent. e) An increase of 2 percent.1 Problem 2: For each
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CONSUMER DEMAND AN ECONOMETRIC IN HONG KONG ANALYSIS 1 E. R. LIM * Introduction The objectives of consumer demand analysis are first‚ to isolate a few major variables from the many and complex factors influencing consumer behaviour‚ and second‚ to verify empirically that this relatively small number of parameters gives a reasonable explanation of a wide range of observations on consumer behaviour. The quantitative knowledge thus obtained is necessary for the study of economic development
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2008 by University of Phoenix. All rights reserved. Course Description This course applies quantitative reasoning skills to business problems. Students learn to analyze data using a variety of analytical tools and techniques. Other topics include formulas‚ visual representation of quantities‚ time value of money‚ and measures of uncertainty. Policies Faculty and students/learners will be held responsible for understanding and adhering to all policies contained within the following two documents: •
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m. The case of n goods Budget constraint: p1x1 + p2x2+…+ pnxn ≤ m. Properties of the Budget Set Budget line（预算线）: p1x1 + p2x2 = m. Vertical intercept: m/p2 Horizontal intercept: m/p1. Slope: – p1/p2 Economic interpretation of slope: For the bundle (x1‚ x2): p1x1 + p2x2 = m. After a change in bundle (△x1‚ △x2): p1(x1+△x1) + p2(x2+△x2) = m. good 2
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1985 0.22 1988 0.25 1991 0.29 1995 0.32 2. Create a model to predict postal rates from the year. 8-31 Copyright 2010 Pearson Education‚ Inc. 3. Do you think a linear model is appropriate here? Explain. 4. Interpret the slope of your model in context. 5. Interpret the intercept of your model in context. 6. What is the correlation between year and postal rate? 7. Explain the meaning of R2 in the context of this problem. 8. Would it be better for customers for a year to have a negative residual
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a) 93x272x813= (32)3x(33)2x(34)3= 36x36x312= 324 b) 57x253/1254= (57x(52)3)/(53)4= 57x56/512=513/512= 5 4. 5. To find the equation of the exponential function that pass through (0‚-1)‚(-1‚-3)‚(-2‚-9) with x-axis as asymptote: Formula: y=a(bx) y-intercept (0‚-1) 1) Point 1 (-1‚-3) 2) Point 2 (-2‚-9) (-3)=ab-1 (-9)=ab-2 -3/b-1=a (-9)/b-2=a Find b- Since a=a Therefore -3/b-1= (-9)/b-2 -3(b-2)= -9(b-1) -3(b-2)-9(b-1)=0 b-1(-3b-1-9)=0 b-1=0 or (-3b-1-9)=0 1/b=0 -3b-1=9 1(0)=b b-1=3
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Springs and Oscillators Abstract Two experiments were conducted to find the spring constant of a steel spring‚ and another experiment using a rubber band was performed to see if it agreed with Hooke’s law. The spring constant was found statically by measuring the distance traveled as different masses were applied‚ and also found dynamically by measuring the period of a mass hung from one end and pulled down then released into vertical oscillations. We found that the rubber band
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sales as the dependent variable‚ the company will conduct a simple linear regression on the data below: Prics ($) | Sales | 1.30 | 100 | 1.60 | 90 | 1.80 | 90 | 2.00 | 40 | 2.40 | 38 | 2.90 | 32 | | | What is the estimated slope (b1 for this data set? 161.3855 0.784 -0.3810 -48.193 POINT VALUE: 1.0 points 2. A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do so‚ the company randomly chooses
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