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Q1. GENDER EQUITY IN THE WORKPLACE * Gender Discrimination in employment – Title VII of the Civil Rights Act * Equal Employment Opportunity Commission * HR data on gender POSITION | GENDER | TOTAL | | Male | Female | | Managerial | 8 | 3 | 11 | Professional | 31 | 13 | 44 | Technical | 52 | 17 | 69 | Clerical | 9 | 22 | 31 | Total | 100 | 55 | 155 |

a) What is the probability that a worker is a woman? b) If a managerial person is selected, what is the probability that the person is a woman? c) A special bonus is given to a person in the technical area – what is the probability that it will go to an woman given that the worker is in the technical area? Is this discrimination against male technical workers? What factors might enter into the awarding of bonus other than random selection? d) What is the probability that a professional person will be a winner to Hawaii? e) What is the probability that the winner will be either a man or a clerical worker? f) What is the probability that the winner will be an woman and in management? g) Suppose the winner is a man. What is the probability that he is from the technical group?

Q2. Probability Distributions - Discrete

BANKING INDUSTRYs PUBLIC IMAGE * Gallup Survey of 1002 bank customers * 80% bank their primary financial institution * 65% very satisfied with the bank * 79% banks are very important * 64% banks are more competitive today * 87% feel safe using an ATM * 41% loan process very difficult * 52% not appropriate for banks to charge service fees * 33% banks represent good value for money * 87% bankers should care about their communities – 31% strongly agreed they do * 29% banks are flexible in meeting consumers financial needs * Important reason to maintain a relationship with their primary…...

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...will choose the maximum of the expected monetary values computed for each decision alternative. Maximum of {R200 000, R240 000, R230 000, R230 000} = R240 000 The owners will use option 2A 12 BIBLIOGRAPHY 1. Bancroft, G and O’Sullivan G (1981) Mathematics and statistics for Accounting and Business Studies. McGraw Hill Book Coy. (Uk) Ltd. 2. Black,K. (2000) Business Statistics: Contemporary Decision Making (3rd ed) South-Western College Publishing. 3. Buglear, J. (2005) Quantitaive Methods For Business. Elsevler Butterworth Heinemann. 4. Daniel, W. and Terrel, J. (1995) Business Statistics for Management and Economics (7th edition) Houghton Mifflin Company, Boston. 5. Lind, Marshall and Wathen (2005). Statistical Techniques in Business and Economics (12th edition), New York, McGraw Hill. 6. Schonberger, R.J. & Knod, E.M., Jr. (1985). Operations Management: Serving the Customer. (3rd ed). Homewood, Illinois: BPI Irwin. 7. Stevenson, W.J. (1999). Production/Operations Management. 6th Ed. Irwin: McGrawHill. 8. Wegner, T. (2005). Applied Business Statistics. Methods and Applications. Kenwyn:Juta & Co, Ltd. 9. Wisniewski, M. and Stead R. (1996). Foundation Quantitative Methods for Business.London : Prentice Hall 13 ...

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