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100th Day of School Activities
Read the Fine Print
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Resources to mark the 100th day of school with math activities. Challenge students to generate 100 different ways to represent the number 100. Students will easily generate 99 + 1 and 50 + 50, but encourage them to think out of the box. Challenge them to include examples from all of the NCTM Standards strands: number sense, numerical operations, geometry, measurement, algebra, patterns, data analysis, probability, discrete math, Create a class list to record the best entries. Some teachers write 100 in big bubble numeral style and then record the entries inside the numerals.

Subject:
Mathematics
Material Type:
Activity/Lab
Provider:
Mathwire
Author:
Terry Kawas
Date Added:
02/16/2011
Applied Statistics in Healthcare Research
Only Sharing Permitted
CC BY-NC-ND
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The primary learning objective of this textbook is to introduce the reader to the fundamental statistical methods and basic analytical procedures associated with processing data in regard to healthcare research. It is intended that by working through the applications and practice problems, readers should be able to understand and apply some of the methods for developing, implementing, and applying healthcare statistic principles in research.

Subject:
Applied Science
Health, Medicine and Nursing
Mathematics
Statistics and Probability
Material Type:
Textbook
Provider:
UPEI Pressbooks Network
Author:
Alyson Mahar
Emily Read
Krista Ritchie
Teri McComber
William Montelpare
Date Added:
05/19/2021
Biostatistics Methods 2
Conditional Remix & Share Permitted
CC BY-SA
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The aim of this course is to provide fundamental statistical concepts and tools relevant to the practice of summarizing, analyzing, and visualizing data. This course will build your knowledge of the fundamental principles of biostatistical inference. The course will focus on linear regression and generalized linear regression models. We will use a variety of examples and exercises from scientific, medical, and public health research.

Material Type:
Activity/Lab
Full Course
Homework/Assignment
Interactive
Lecture Notes
Lesson Plan
Simulation
Syllabus
Provider:
University of Massachusetts
Provider Set:
Individual Authors
Author:
Jeff Goldsmith
Nicholas G Reich
Date Added:
04/07/2014
Chemicals in the Environment: Toxicology and Public Health (BE.104J)
Conditional Remix & Share Permitted
CC BY-NC-SA
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This course addresses the challenges of defining a relationship between exposure to environmental chemicals and human disease. Course topics include epidemiological approaches to understanding disease causation; biostatistical methods; evaluation of human exposure to chemicals, and their internal distribution, metabolism, reactions with cellular components, and biological effects; and qualitative and quantitative health risk assessment methods used in the U.S. as bases for regulatory decision-making. Throughout the term, students consider case studies of local and national interest.

Subject:
Applied Science
Atmospheric Science
Biology
Engineering
Environmental Science
Health, Medicine and Nursing
Life Science
Physical Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Green, Laura
Sherley, James
Tannenbaum, Steven
Date Added:
02/01/2005
Chemicals in the Environment: Toxicology and Public Health (BE.104J)
Conditional Remix & Share Permitted
CC BY-NC-SA
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This course addresses the challenges of defining a relationship between exposure to environmental chemicals and human disease. Course topics include epidemiological approaches to understanding disease causation; biostatistical methods; evaluation of human exposure to chemicals, and their internal distribution, metabolism, reactions with cellular components, and biological effects; and qualitative and quantitative health risk assessment methods used in the U.S. as bases for regulatory decision-making. Throughout the term, students consider case studies of local and national interest.

Subject:
Applied Science
Environmental Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
James Sherley
Date Added:
01/01/2005
OER-UCLouvain: Syllabus d'introduction aux probabilités et à l'inférence statistique avec application aux sciences psychologiques.
Conditional Remix & Share Permitted
CC BY-NC-SA
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Cette ressource propose un recueil de diapos utilisées à l'UCL pour un cours de probabilités et statistique destiné à des étudiants en sciences humaines. Ce cours est précédé, à l'UCL, par un cours de statistique descriptive. N'hésitez pas à contacter l'auteur - bernadette govaerts@uclouvain.be - qui dispose de ressources complémentaires sur le sujet (énoncés d'exercices, jeux de données...).
Contenu :
- Eléments de Probabilités
° P1 : Introduction
° P2 : Calcul de probabilités sur des événements
° P3 : Variables aléatoires : généralités et lois classiques
° P4 : Théorème central limite et combinaisons de variables aléatoires
-Inférence pour une et deux variables
° I1 : Principes de l’inférence statistique (rappels)
° I2 : Inférence sur les paramètres d’UNE variable quantitative normale
° I3 : Tests sur les paramètres d’une variable quantitative normale observée sur deux groupes indépendants ou pairés
° I4 : Inférence sur les paramètres d’une variable catégorielle
° I5 :Tests d’homogénéité et d’indépendance pour deux variables catégorielles
° I6 : Tests non paramétriques sur une ou deux valeurs centrales
° I7: Inférence sur un ou deux coefficients de corrélation
° I8 : Puissance d'un test, calcul de taille d'échantillon

Subject:
Mathematics
Statistics and Probability
Material Type:
Reading
Author:
GOVAERTS Bernadette
Date Added:
09/11/2017
OER-UCLouvain: Tables de probabilités
Conditional Remix & Share Permitted
CC BY-NC-SA
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Tables de probabilités et de statistiques : Table de calcul de probabilité pour la loi binomiale Table de calcul de probabilité pour la loi normale Table des quantiles de la v.a. Chi-Carré Table des quantiles de la v.a. Fisher Table des quantiles de la v.a. Normale réduite Table des quantiles de la v.a. Student

Subject:
Mathematics
Statistics and Probability
Material Type:
Reading
Provider:
Université catholique de Louvain
Provider Set:
OER-UCLOUVAIN
Author:
Govaerts Bernadette
Date Added:
09/11/2017
Performance determinants of unsupervised clustering methods for microbiome data
Unrestricted Use
CC BY
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This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Microbiome sequencing data are very complex. In order to simplify analyses, researchers often perform unsupervised clustering to identify naturally occurring clusters and then investigate the clusters’ associations with various characteristics of interest. However, clustering performance and related conclusions can vary depending on the algorithm or beta diversity metric used. To improve microbiome analysis methods, a new study tested the performance of several metrics on four datasets with well-separated groups and a clinical dataset with less-clear group separation. None of the metrics was universally superior, but certain metrics underperformed under certain conditions. For example, the Bray-Curtis metric performed poorly in a dataset with rare high-abundance OTUs (groups of related bacteria), while the unweighted UniFrac metric performed poorly in a dataset with prevalent low-abundance OTUs..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Subject:
Biology
Life Science
Material Type:
Diagram/Illustration
Reading
Provider:
Research Square
Provider Set:
Video Bytes
Date Added:
05/17/2022