Design and Implementation of a Computerized Population Calculator.
ABSTRACT
The government invests so much in population census. With the rapid increment in population growth, population census in not getting any easier.
Economic meltdown is threatening the nations and yet more is spent on census. Worse yet is the corrupt mind of census agent. These ones do not carry out this population task thoroughly.
They mess around the census exercise and make away with the remaining money. What do we do? How can we improve this situation? What can we do to get a complete and accurate population statistics? How do we curb this mischief?
Determined to solve the above problem is the project ‘design and implementation of a population calculator.’ This calculator calculates the number of humans in a given place (be it local government, state or country) and outputs the answer as a figure.
The calculator does this with only two information or parameters from the user. The application need the initial size of the nation (or the sample space) and the rate of increment or decrement.
INTRODUCTION
A population is all the organisms that both belong to the same group or species and live in the same geographical area. In ecology the population of a certain species in a certain area is estimated using the Lincoln Index.
The area that is used to define a sexual population is such that inter-breeding is possible between any pair within the area and more probable than cross-breeding with individuals from other areas. Normally breeding is substantially more common within the area than across the border.
In sociology, population refers to a collection of human beings. Demography is a social science which entails the statistical study of human populations.
This project refers mainly to human population. That is For the purpose of this project, we regard population as the sum total of all human beings and not any other organisms or species.
A statistical population is a set of entities concerning which statistical inferences are to be drawn, often based on a random sample taken from the population. For example, if we were interested in generalizations about crows, then we would describe the set of crows that is of interest.
REFERENCES
Cities in Nigeria: 2005 Population Estimates — MongaBay.com”. http://www.mongabay.com/igapo/2005_world_city_populations/Nigeria.html. Retrieved 1 July 2008.
Fisher, R. A. (1999). Oxford University Press. ISBN 0-19-850440-3.
Gordon, Ian L. (2000). “Quantitative genetics of allogamous F2 : an origin of randomly fertilized populations.”. Heredity 85: 43–52.
Gordon, Ian L. (2001). “Quantitative genetics of autogamous F2.”. Hereditas 134: 255–262.
Hartl, Daniel (2007). Principles of Population Genetics. Sinauer Associates. p. 45. ISBN 978-0-87893-308-2.
Hartl, Daniel (2007). Principles of Population Genetics. Sinauer Associates. p. 95. ISBN 978-0-87893-308-2.
Haub, C. 1995/2004. “How Many People Have Ever Lived On Earth?” Population Today, http://www.prb.org/Articles/2002/HowManyPeopleHa
http://www.un.org/News/Press/docs/2007/pop952.doc.htm. Retrieved 14 March 2007. “The world population continues its path towards population ageing and is on track to surpass 9 billion persons by 2050.”
Knudsen, Lara (2006). Reproductive Rights in a Global Context. Vanderbilt University Press. pp. 2. ISBN 0-8265-1528-2, 9780826515285. http://books.google.com/?id=b3thCcdyScsC&dq=reproductive+rights.
Knudsen, Lara (2006). Reproductive Rights in a Global Context. Vanderbilt University Press. pp. 4–5. ISBN 0-8265-1528-2, 9780826515285. http://books.google.com/?id=b3thCcdyScsC&dq=reproductive+rights.
Join Our Newsletter!
Don’t miss this opportunity
Enter Your Details
Be the first to comment