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Book Review:Statistical Analysis. Edward C. Bryant
In: The journal of business, Band 34, Heft 1, S. 87
ISSN: 1537-5374
Applied linear regression models
EFFECTS OF USE OF COMPUTER IN FIRST‐YEAR STATISTICS SEQUENCE ON STUDENT ATTITUDES*
In: Decision sciences, Band 4, Heft 1, S. 133-140
ISSN: 1540-5915
AbstractThe use of computers in teaching statistics can make an impact upon students in two ways. First, it can affect the amount and rate of learning of statistics. Second, it can affect student attitudes toward computers, statistics and quantitative methods. This note reports a study on the effects of the computer in teaching statistics on student attitudes. The data are based on pre‐ and post‐course questionnaires administered in a first‐year statistics sequence. The results partly confirm expectations, and partly raise questions for further investigation.
Statistical sampling for auditors and accountants
In: A Wiley publication in accounting
PERFORMANCE OF THE EXPECTED UTILITY METHOD AND TWO OTHER NORMATIVE METHODS IN INSURANCE DECISION MAKING*
In: Decision sciences, Band 4, Heft 4, S. 517-532
ISSN: 1540-5915
ABSTRACTIn an experiment, thirty‐six professional insurance men employed the utility method, the worry method, and the comparison method in two insurance problems to determine the appropriate insurance coverage. It was found that the best act with the utility method almost always was no insurance, whereas the best act with the other two methods tended to be complete insurance. The utility method best act rarely agreed with the subject's actual preferred act, while the comparison method best act usually was the same or almost the same as the actual preferred act. While the worry method suggests that the subjects typically are risk averse, the utility functions obtained tend to show that the subjects typically are not risk averse.