P(B) – P(A and B) Let us define the following events: A = the person selected is a faculty member B = the person selected is in favor of the proposal P(A) = 70/300 = .2333 P(B) = 135/300 = .4500 P(A and B) = P(A) P(B | A) = (70/300)(45/70) = .1500 P(A or B) = P(A) + P(B) – P(A and B) = .2333 + .4500 – .1500 = .5333 EX‚ The probability that a person is in favor of genetic engineering is .55 and that a person is against it is .45. Two
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model is the better decision and how much "cheaper" is it than the alternative Model A: Base Value: 20000 Trade in value after 5 years : 50% = 10000 PV of 10000 = 7472.58 Model B: Base Value: 18000 Trade in value after 5 years : 25% = 4500 PV of 4500 = 3362.66 Also‚ If invested in Model B‚ Jessica saves 2000. So‚ PV of investment in Model B is 3362.66 + 2000 = 5562.66 So‚ Jessica gains 2109.92 if she invests in Model A Christine is a new homebuyer. She wants to make sure that she incorporates
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Academic success: is performing consistently well in an academic setting such as school and being able to perform your personal best. Personality means the characteristic ways of thinking‚ feeling and acting that make the person an individual. Eysenck came up with two main personality factors: extroversion-introversion and emotional stability-instability. They considered that by looking at how a person scored on these two factors‚ you could describe their personality. A person who was high on extroversion
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Crawford‚ J.‚ (1998) Media‚ Stereotypes and the Perpetuation of Racism in Canada. University of Saskatchewan. Retrieved September 6‚ 2005 from http://www.usask.ca/education/coursework/802papers/crawford/jamesc.html Wozniak‚ R.‚ H.‚ (1997). Floyd Henry Allport and the Social Psychology. Retrieved September 15‚ 2005 from http://www.brynmawr.edu/Acads/Psych/rwozniak/allport.html
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Mandatory Disclosure By Loyola Institute of Business Administration Loyola College‚ Chennai – 600 034 I. Name of the Institution Name Loyola Institute of Business Administration Address Temporary Location (if applicable) Permanent Location as approved by AICTE Loyola College Village 1‚ Sterling Road Taluk Nungambakkam District Chennai PIN 600 034 State Tamil Nadu STD Code 044 Phone No. 28 17 71 00 Fax No. 28 17 31 83 E-Mail
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Location Location Income ($1000) Size Years Credit Balance($) Urban 1 54 3 12 4016 Rural 3 30 2 12 3159 Suburban 2 32 4 17 5100 Suburban 2 50 5 14 4742 Rural 3 31 2 4 1864 Urban 1 55 2 9 4070 Rural 3 37 1 20 2731 Urban 1 40 2 7 3348 Suburban 2 66 4 10 4764 Urban 1 51 3 16 4110 Urban 1 25 3 11 4208 Urban 1 48 4 16 4219 Rural 3 27 1 19 2477 Rural 3 33 2 12 2514 Urban 1 65 3 12 4214 Suburban 2 63 4 13 4965 Urban 1 42 6 15 4412 Urban 1 21 2 18 2448 Rural 3 44 1 7 2995 Urban 1 37 5
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Construct a Personal Ethical Framework I was born and raised in the United States Midwest‚ where Monday through Thursday attending school‚ completing chores‚ and terrorizing my older siblings was routine but Friday nights rooting for my high school football team was mandatory. In Oklahoma‚ particularly in the northeast corner dubbed ‘The Bible Belt’‚ I was raised with behavioral standards that piggy backed off of the Southern Baptist beliefs as well as normative beliefs of the day. Since people are
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• Allport was notably motivated by J.B. Watson and his challenging Psychological Review paper (1913)‚ ‘Psychology as the Behaviorist Views It’. • Watson played a vital role in the development of history of social psychology. In 1894 he challenged Wilhelm Wundt’s
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each sheet. (iv) Self-addressed and sufficient postal stamped envelop of 8” x 10” size must be sent along with response sheets – for each paper separately. (v) Answer any two questions. Questions 1. Define Values. Critically evaluate “Allport-Vernon” classification of values. How values affect the Business processes. 2. What are the various approaches to study OB. Is OB integrative science. Write critically the contribution of Max Weber. 3. Define leadership. “Effectiveness of leaders
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a) Using any computer software‚ perform regression analysis from the data in the Table. The following is the regression analysis on data given by using Microsoft Excel: Regression Statistics Multiple R 0.986557829 R Square 0.973296349 Adjusted R Square 0.968845741 Standard Error 184.7121318 Observations 15 ANOVA df SS MS F Significance F Regression 2 14922670.21 7461335 218.68838 0.00000000036260 Residual 12 409422.8596 34118.6
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