International Journal of Statistics and Applied Mathematics
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

2023, Vol. 8, Issue 2, Part A

Demographic factors lead to mobile phone ownership in Tanzania mainland: A binary logistic regression approach


Author(s): Mohamed K Mwanga, Lucas Salati and Dickson Luambano

Abstract: The purpose of this study was to determine the demographic factors that influence mobile phone ownership in Tanzania Mainland. Secondary data from the 2017-2018 Household Budget Survey (HBS), which was conducted by the Tanzania National Bureau of Statistics (NBS), were used in this study. In order to determine which demographic factors influence Tanzanian mobile phone ownership, the Binary logistic regression method was utilized. According to the findings, a person's age, marital status, sex, residence area, and household size are all demographic factors that influence mobile phone ownership. Out of 9463 households, approximately 77.3 percent (7311) have at least one mobile phone, while only 22.7 percent (2152) do not. More than just a means of communication, the mobile phone has changed how people live and keep in touch with one another.

DOI: 10.22271/maths.2023.v8.i2a.944

Pages: 43-45 | Views: 290 | Downloads: 23

Download Full Article: Click Here

International Journal of Statistics and Applied Mathematics
How to cite this article:
Mohamed K Mwanga, Lucas Salati, Dickson Luambano. Demographic factors lead to mobile phone ownership in Tanzania mainland: A binary logistic regression approach. Int J Stat Appl Math 2023;8(2):43-45. DOI: 10.22271/maths.2023.v8.i2a.944

Call for book chapter
International Journal of Statistics and Applied Mathematics