{"title":"Statistics","description":"\u003cp\u003eStatistics in education covers the methods and principles behind collecting, analyzing, and interpreting data within learning environments. This subject addresses how educators, administrators, and researchers use statistical tools to inform decision-making, understand student achievement, and evaluate programs. The discipline equips readers with foundational concepts, such as probability, hypothesis testing, and data presentation, directly applied to schools, colleges, and educational research.\u003c\/p\u003e\u003cp\u003eTo focus your study within statistics, consider whether you're looking for practical classroom applications, theoretical background, or advanced research techniques. This category is distinct from broader education headings by emphasizing quantitative analysis as a primary lens. Narrowing by specific topics—like assessment methods or educational measurement—can help target your reading or professional development.\u003c\/p\u003e","products":[{"product_id":"notes-basic-concepts-initiation-econometrics-9798522404543-new","title":"Notes on basic concepts for initiation in ECONOMETRICS","description":"This book offers a set of notes about basic concepts to introduce Econometrics. It is not a textbook on Econometrics. The objective is to offer a shorter and easier way to learn the basic concepts by using mainly matrix methods that provide the student with a global vision of what this discipline is about and its usefulness in economic research. To achive this objective the emphasis is placed on understanding the concepts. \u003cbr\u003e\u003cbr\u003eThese notes can be useful to both undergraduate students and graduate students, who are going to study subjects related to this discipline for the first time. However, it is necessary to emphasize that students must have basic knowledge of differential calculus, in particular optimization, along with matrix algebra, and statistics. These concepts are not discussed in this book. \u003cbr\u003e\u003cbr\u003eThe notes are presented in four chapters. The first one offers an introduction with basic definitions and a general presentation of different types of models. In the second chapter, the classical linear regression model is introduced by applying a matrix approach. Assumptions are discussed in detail and the least-squares estimation method is also developed. The third chapter provides a brief introduction to dynamic models and time series. The last chapter deals with the evaluation of the econometric model which is explained in two parts. The first one addresses the problems of model specification, while the second one deals with the violation of the assumptions about disturbances.","brand":"INDEPENDENTLY PUBLISHED","offers":[{"title":"New","offer_id":51544351736098,"sku":"9798522404543-new","price":13.25,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0893\/4755\/5618\/files\/9798522404543.jpg?v=1776401708"}],"url":"https:\/\/www.albakireads.com\/collections\/education-statistics.oembed","provider":"AlbakiReads","version":"1.0","type":"link"}