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National Center for Analysis of Longitudinal Data in Educational Research. Kane, T. and Staiger, D. 2009. Estimating Teacher Impacts on Student Achievement: An Experimental Evaluation. NBER Working Paper No. 14607 ; 23% levels of poverty: UNICEF Innocenti Research Centre 2012, Measuring Child Poverty: New league tables of child poverty in the worlds rich countries, Innocenti Report Card 10, UNICEF Innocenti Research Centre, Florence. Controf for effect of poverty: Payne, K. and Biddle, B. 1999. Poor school funding, child poverty, and mathematics achievement.


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Any net profits derivedfrom the operation, or any proceeds derived from the lease or sale, of suchpower plants and distribution systems are appropriated and shall be paid intothe permanent endowment fund held for the institution as provided for in G. S. 116 36. Institutions operating or authorized to operate, as of October 30,1971, water or sewer distribution systems, may continue to do so. Each of theinstitutions now operating a campus laboratory or demonstration school maycontinue to do so under the presently existing plan of operation, consistentwith the appropriations made therefor. The provisions of this section shall notapply to the University Enterprises of the University of North Carolina atChapel Hill, which shall continue to be governed in all respects as provided inChapters 634 and 723 of the Session Laws of 1971, G. S. 116 41. 1 through 116 41. 12,and other applicable legislation. 1971, c.



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Any group of data like this, which includes all the data you are interested in, is called a population. A population can be small or large, as long as it includes all the data you are interested in. For example, if you were only interested in the exam marks of 100 students, the 100 students would represent your population. Descriptive statistics are applied to populations, and the properties of populations, like the mean or standard deviation, are called parameters as they represent the whole population i. e. , everybody you are interested in. Often, however, you do not have access to the whole population you are interested in investigating, but only a limited number of data instead. For example, you might be interested in the exam marks of all students in the UK. It is not feasible to measure all exam marks of all students in the whole of the UK so you have to measure a smaller sample of students e. g. , 100 students, which are used to represent the larger population of all UK students.



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