Abstract
This chapter focuses on angular data and frequency distributions. Angular observations arise from random experiments in various different ways. They may be direct measurements such as wind directions or vanishing angles of migrating birds. They may arise indirectly from the measurement of times reduced modulo some period and converted into angles—for example, the incidence rate of a particular disease in each calendar month over a number of years. Rounding errors in numerical calculations converted into angles also form such observations. Rose diagrams and circular histograms are sometimes described as polar-wedge diagrams. The forms of the circular distributions appearing in practice can roughly be identified from the linear histograms as in the case of linear data. The linear histogram can be obtained from the circular histogram by cutting the circle at a suitable point such that the maximum concentration on the linear histogram appears around its center.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.