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Wed Dec 2 13:01:52 EST 1998
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Copyright © Monash University 1998 - All Rights Reserved - Caution
Dr Ann Maharaj
6 points · two 1-hour lectures, one 2-hour tutorial per week · First and second semester · Berwick and Gippsland
Objectives On completion of this subject students should have become competent in using basic mathematical concepts fundamental to business practice; using spreadsheets in basic business problems; using basic techniques of financial mathematics; using and interpreting descriptive statistical techniques in business; performing business applications involving basic concepts of probability and probability distributions; using basic techniques of statistical inference on the mean; applying basic techniques of correlation and simple linear regression; using basic time series techniques (indexing, deflating and forecasting); effectively communicating the results of their analyses of problems.
Synopsis Excel spreadsheets. Basic skills. Descriptive statistics: types of variables, frequency distributions, summary statistics, describing data sets, samples and populations. Probability and probability distributions: probability as a model for the future, probability distributions, including binomial and normal. Statistical inference: sampling distributions, point and interval estimation, tests of hypothesis of the sample mean. Relationships between two nominal variables: contingency tables. Relationships between two numeric variables: correlation, testing of correlation coefficient, simple linear regression. Time series: indexing, forecasting. Financial mathematics: simple and compound interest, depreciation, net present value, internal rate of return, simple ordinary annuities, loan repayments.
Assessment Assignments and tests: 30% · Final examination (3 hours): 70%
Prescribed texts
Selvanathan A and others Australian business statistics Nelson, 1994
Back to the 1999 Business and Economics HandbookDr Ann Maharaj
6 points · two 1-hour lectures, one 2-hour tutorial per week · First and second semester · Berwick and Gippsland · Distance
Objectives On completion of this subject students should have become competent in using basic mathematical concepts fundamental to business practice; using spreadsheets in basic business problems; using basic techniques of financial mathematics; using and interpreting descriptive statistical techniques in business; performing business applications involving basic concepts of probability and probability distributions; using basic techniques of statistical inference on the mean; applying basic techniques of correlation and simple linear regression; using basic time series techniques (indexing, deflating and forecasting); effectively communicating the results of their analyses of problems.
Synopsis Excel spreadsheets. Basic skills. Descriptive statistics: types of variables, frequency distributions, summary statistics, describing data sets, samples and populations. Probability and probability distributions: probability as a model for the future, probability distributions, including binomial and normal. Statistical inference: sampling distributions, point and interval estimation, tests of hypothesis of the sample mean. Relationships between two nominal variables: contingency tables. Relationships between two numeric variables: correlation, testing of correlation coefficient, simple linear regression. Time series: indexing, forecasting. Financial mathematics: simple and compound interest, depreciation, net present value, internal rate of return, simple ordinary annuities, loan repayments.
Assessment Assignments and tests: 30% · Final examination (3 hours): 70%
Prescribed texts
Selvanathan A and others Australian business statistics Nelson, 1994
Back to the 1999 Business and Economics Handbook
wwwdev@monash.edu.au
Wed Dec 2 13:01:52 EST 1998