Author : Stephanie Paris
Publisher : Teacher Created Materials
Page : 150 pages
File Size : 50,36 MB
Release : 2011-06-01
Category : Education
ISBN : 9781425807559
With a focus on data analysis and probability, a guide to using leveled texts to differentiate instruction in mathematics offers fifteen different topics with high-interest text written at four different reading levels, accompanied by matching visuals and practice problems.
Author : Lori Barker
Publisher : Teacher Created Materials
Page : 150 pages
File Size : 43,83 MB
Release : 2011-06-01
Category : Education
ISBN : 9781425807153
With a focus on number and operations, a guide to using leveled texts to differentiate instruction in mathematics offers fifteen different topics with high-interest text written at four different reading levels, accompanied by matching visuals and practice problems.
Author : Lori Barker
Publisher : Teacher Created Materials
Page : 150 pages
File Size : 46,51 MB
Release : 2011-06-01
Category : Education
ISBN : 9781425807856
With a focus on fractions, decimals, and percents, a guide to using leveled texts to differentiate instruction in mathematics offers fifteen different topics with high-interest text written at four different reading levels, accompanied by matching visuals and practice problems.
Author : Douglas Wolfe
Publisher : Springer Nature
Page : 233 pages
File Size : 33,76 MB
Release : 2020-09-26
Category : Mathematics
ISBN : 3030474798
This book is specially designed to refresh and elevate the level of understanding of the foundational background in probability and distributional theory required to be successful in a graduate-level statistics program. Advanced undergraduate students and introductory graduate students from a variety of quantitative backgrounds will benefit from the transitional bridge that this volume offers, from a more generalized study of undergraduate mathematics and statistics to the career-focused, applied education at the graduate level. In particular, it focuses on growing fields that will be of potential interest to future M.S. and Ph.D. students, as well as advanced undergraduates heading directly into the workplace: data analytics, statistics and biostatistics, and related areas.
Author : Stephanie Paris
Publisher : Teacher Created Materials
Page : 9 pages
File Size : 20,77 MB
Release : 2014-01-01
Category : Mathematics
ISBN : 1425877427
All students can learn about analyzing line graphs through text written at four different reading levels. Symbols on the pages represent reading-level ranges to help differentiate instruction. Provided comprehension questions complement the text.
Author : Stephanie Paris
Publisher : Teacher Created Materials
Page : 9 pages
File Size : 29,68 MB
Release : 2014-01-01
Category : Mathematics
ISBN : 1425877400
All students can learn about analyzing bar graphs through text written at four different reading levels. Symbols on the pages represent reading-level ranges to help differentiate instruction. Provided comprehension questions complement the text.
Author : Stephanie Paris
Publisher : Teacher Created Materials
Page : 9 pages
File Size : 16,48 MB
Release : 2014-01-01
Category : Mathematics
ISBN : 1425877389
All students can learn about analyzing pictographs through text written at four different reading levels. Symbols on the pages represent reading-level ranges to help differentiate instruction. Provided comprehension questions complement the text.
Author : Larry Wasserman
Publisher : Springer Science & Business Media
Page : 446 pages
File Size : 35,52 MB
Release : 2013-12-11
Category : Mathematics
ISBN : 0387217363
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Author : Stephanie Paris
Publisher : Teacher Created Materials
Page : 9 pages
File Size : 42,43 MB
Release : 2014-01-01
Category : Mathematics
ISBN : 1425877443
All students can learn about analyzing circle graphs through text written at four different reading levels. Symbols on the pages represent reading-level ranges to help differentiate instruction. Provided comprehension questions complement the text.
Author : Roman Vershynin
Publisher : Cambridge University Press
Page : 299 pages
File Size : 35,1 MB
Release : 2018-09-27
Category : Business & Economics
ISBN : 1108415199
An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
