Government scrutiny and intensified oversight have dramatically changed the landscape of education in recent years. Observers want to know how schools compare, which district is best, which states are spending the most per student on education, whether reforms are making a difference, and why so many students are failing. Some of these questions require technical answers that educators historically redirected to outside experts, but the questions leveled at all educators have become so acute and persistent that they can no longer be outsourced. This text helps educators develop the tools and the conceptual understanding needed to provide definitive answers to difficult statistical questions facing education today.review. In Chapter 4, we found that when a characteristic is normally distributed, we can calculate z scores (Formula 4.1: z = (x ... Ita#39;s going to look like the z score transformation used in Chapter 4, and also like the one-sample t-test that wea#39;ll use in Chapter 6, ... district is a large suburban school district and that he has mathematics scores for all sixthgrade students in the district. ... Dona#39;t let the fact that we dona#39;t sample one student at a time diminish the fact that this is still a population.
|Title||:||Using Statistics to Make Educational Decisions|
|Publisher||:||SAGE Publications - 2011-09-07|