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References 213
6 million
Therefore the standard deviation =
= $1095
5
The square of the standard deviation is known as the variance.
References
1. Hertz, D. B. and Thomas, H. (1983) Risk Analysis and its Applications, Wiley,
Chichester.
2. Singh, C. and Kiangi, G. (1987) Risk and Reliability Appraisal on Micro Computers,
Chartwell-Bratt, Lund.
3. For a theoretical treatment of stochastic dominance see Hadar, J. and Russell,
W. R. (1969) Rules for Ordering Uncertain Prospects, The American
Economic Review March, 25–34.
4. Markowitz, H. M. (1959) Portfolio Selection, Wiley, New York.
5. Besley, F., Weston, F. and Brigham, E. (2000) Essentials of Managerial Finance
(12th edn), Thomson Learning, London.
6. Drury, C. (2000) Management and Cost Accounting (5th edn), Thomson Learning,
London.
7. Hespos, R. F. and Strassman, P. A. (1965) Stochastic Decision Trees in the
Analysis of Investment Decisions, Management Science,No.10, B244–B259.
8. Hertz, D. B. (1979) Risk Analysis and Capital Investment, Harvard Business
Review Classic, Harvard Business Review, September, 169–181.
9. Eilon, S. and Fawkes, T. R. (1973) Sampling Procedures for Risk Simulation,
Operational Research Quarterly, 24, No. 2, 241–252.
10. Hull, J. C. (1977) Dealing with Dependence in Risk Simulations, Operational
Research Quarterly, 28, No. 1, 201–213.
11. Jennings, D. L., Amabile, T. M. and Ross, L. (1982) Informal Covariation
Assessment: Data-based versus Theory-based Judgments, in D. Kahneman,
P. Slovic and A. Tversky (eds), Judgment Under Uncertainty: Heuristics and
Biases, Cambridge University Press, Cambridge.