9 research outputs found
Recommended from our members
Reducing Man-Caused Gully Erosion
This material was digitized as part of a cooperative project between the Society for Range Management, the National Agricultural Library, and the University of Arizona Libraries.The Rangelands archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact [email protected] for further information.Migrated from OJS platform March 202
Some Thoughts on Planetarium Programming
When teaching astronomy at the junior high or college level, how does one explain that Polaris has not always been the pole star? What illustration will best show what is meant by the "circumpolar" stars? Due to the problems of time and distance, few methods are available to help the astronomy instructor. One, however, has proven its worth to some degree and shows great promise for the future. I am referring to the planetarium. This article deals with planetariums such as those listed in the September issue of Sky and Telescope rather than with the small laboratory models sold by some scientific supply companies
Seeing Stars
The National Technical Institute for the Deaf (NTID) in Rochester, New York, first util ized the facilities of the Strasenburgh Planetarium during the summer of 1969. At that time, a group of young deaf people from the Junior National Association of the Deaf (NAD) visited the campus at Rochester I nstitute of Technology. I n the course of their visit they attended a performance at the Planetarium. No preliminary arrangements, such as script preview, dividing the program into sections, pre-show lectures, or captioning of the program were provided. At the end of the program, interpreters assisted in a discussion and question/answer period. The members reported that they enjoyed the experience but did not understand all of it
NGD-A FORTRAN IV Program for Fitting the Normal Generated Distribution
The distribution of a random variable p, where p is constrained on the domain 0 \u3c p \u3c 1, is often of interest. For example, p could be a subjectively estimated probability of a subjectâs preference for an item, or it could be the fraction of questions that a subject answers correctly on a test. In examples like these, the beta distribution is often used for the probability density function (PDF) of p, that is, the distribution of the random variable p over a set of subjects