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AHSS Front Matter
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Description:

This is the online, interactive version of OpenIntro's Advanced High School Statistics (https://www.openintro.org/book/ahss/). It was developed by Emiliano Vega and Ralf Youtz of Portland Community College using PreTeXt.

Advanced High School Statistics covers a first course in statistics, providing an introduction to applied statistics that is clear, concise, and accessible. This book was written to align with the AP© Statistics Course Description, but it's also popular in non-AP courses and community colleges.

We hope readers will take away three ideas from this book in addition to forming a foundation of statistical thinking and methods:

1. Statistics is an applied field with a wide range of practical applications.

2. You don't have to be a math guru to learn from real, interesting data.

3. Data are messy, and statistical tools are imperfect. But, when you understand the strengths and weaknesses of these tools, you can use them to learn about the real world.

Subject:
Statistics and Probability
Material Type:
Teaching/Learning Strategy
Provider:
Portland Community College
Author:
Christopher D Barr
David M Diez
Leah Dorazio
Mine Etinkaya-rundel
Date Added:
08/17/2020
ANOVA Calculations
Conditional Remix & Share Permitted
CC BY-SA
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This supplemental material is an online resource of OpenIntro Statistics, a textbook available for free in PDF at openintro.org and in paperback for about $10 at amazon.com.

Subject:
Mathematics
Statistics and Probability
Material Type:
Reading
Provider:
OpenIntro
Author:
Emiliano Vega
Ralf Youtz
Date Added:
09/15/2017
Activity Sheet-Organization and Presentation of Data in Textual, Tabular and Graphical Form
Only Sharing Permitted
CC BY-ND
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This resource can be used in providing real-life activity for students by conducting survey. Results of their survey will be organized and presented through text, graphs and tables with research ethics observed.

Subject:
Mathematics
Statistics and Probability
Material Type:
Activity/Lab
Author:
Frankie Fran
Date Added:
03/25/2020
Advanced High School Statistics
Conditional Remix & Share Permitted
CC BY-SA
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This textbook is part of the OpenIntro Statistics series and offers complete coverage of the high school AP Statistics curriculum. Real data and plenty of inline examples and exercises make this an engaging and readable book. Links to lecture slides, video overviews, calculator tutorials, and video solutions to selected end of chapter exercises make this an ideal choice for any high school or Community College teacher. In fact, Portland Community College recently adopted this textbook for its Introductory Statistics course, and it estimates that this will save their students $250,000 per year. Find out more at: openintro.org/ahss

View our video tutorials here:
openintro.org/casio
openintro.org/TI

Subject:
Statistics and Probability
Material Type:
Textbook
Provider:
OpenIntro
Author:
Christopher Barr
David Diez
Leah Dorazio
Mine Cetinkaya-Rundel
Date Added:
04/11/2018
Algebra II Module 4: Inferences and Conclusions from Data
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Students build a formal understanding of probability, considering complex events such as unions, intersections, and complements as well as the concept of independence and conditional probability.  The idea of using a smooth curve to model a data distribution is introduced along with using tables and techonolgy to find areas under a normal curve.  Students make inferences and justify conclusions from sample surveys, experiments, and observational studies.  Data is used from random samples to estimate a population mean or proportion.  Students calculate margin of error and interpret it in context.  Given data from a statistical experiment, students use simulation to create a randomization distribution and use it to determine if there is a significant difference between two treatments.

Subject:
Algebra
Material Type:
Module
Provider:
New York State Education Department
Provider Set:
EngageNY
Date Added:
03/24/2016
Amazing Bean Races
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CC BY-SA
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Developed for fifth grade and above. Primary biological content area covered:; Plant growth; Seedling morphology; Hypothesis testing; Experimental design; Line graphing; Introductory statistics.Biology In Elementary Schools is a Saint Michael's College student project. The teaching ideas on this page have been found, refined, and developed by students in a college-level course on the teaching of biology at the elementary level. Unless otherwise noted, the lesson plans have been tried at least once by students from our partner schools. This wiki has been established to share ideas about teaching biology in elementary schools. The motivation behind the creation of this page is twofold: 1. to provide an outlet for the teaching ideas of a group of college educators participating in a workshop-style course; 2. to provide a space where anyone else interested in this topic can place their ideas.

Subject:
Biology
Material Type:
Activity/Lab
Lesson Plan
Provider:
WikiEducator
Date Added:
02/16/2011
Analysing Skid Marks
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CC BY-NC-SA
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This unit is the second in the MSXR209 series of five units on mathematical modelling. In this unit you are asked to relate the stages of the mathematical modelling process to a previously formulated mathematical model. This example, that of skid mark produced by vehicle tyres, is typical of accounts of modelling that you may see in books, or produced in the workplace. The aim of this unit is to help you to draw out and to clarify mathematical modelling ideas by considering the example. It assumes that you have studied Modelling pollution in the Great Lakes (MSXR209_1).

Subject:
Mathematics
Material Type:
Activity/Lab
Reading
Syllabus
Provider:
The Open University
Provider Set:
Open University OpenLearn
Date Added:
09/06/2007
Analyzing Meteorological Data From Mars
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Students compare real-time Earth and Mars measurements for temperature, wind speed, humidity and atmospheric pressure by accessing Internet-data resources from NASA.

Subject:
Physical Science
Astronomy
Material Type:
Activity/Lab
Assessment
Lesson Plan
Provider:
Montana State University
NASA
Provider Set:
NASA/MSU Center for Educational Resources (CERES)
Date Added:
02/16/2011
Analyzing and Making Mathematical and Historical Claims from (Linear) Data Representations
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CC BY-NC-SA
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A statistics lesson on describing and making claims from data representations, specifically linearly increasing data. Applies ideas of rate-of-change to develop writing a linear equation to fit the data, using the equation to interpolate and extrapolate additional information, and integrating the mathematical interpretation appropriately into a social sciences argument.

Subject:
Mathematics
Material Type:
Lesson Plan
Author:
Sarah Ahmed
Johanna Langill
Date Added:
01/28/2016
Answering questions with data: Introductory Statistics for Psychology Students
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CC BY-SA
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This is a free textbook teaching introductory statistics for undergraduates in Psychology. This textbook is part of a larger OER course package for teaching undergraduate statistics in Psychology, including this textbook, a lab manual, and a course website. All of the materials are free and copiable, with source code maintained in Github repositories.

Subject:
Psychology
Material Type:
Textbook
Author:
Matthew J.C. Crump
Date Added:
11/26/2019
Application of Mathematical Models and Techniques in the field of Statistics.
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Application of Mathematical Models and Techniques in the field of Statistics.

Pawan Kumar Ray
Assistant Professor
Harkamaya College of Education
6thMile Tadong Gangtok
Email-ccc4job@gmail.com
9832359082/7908401075

Abstract

Mathematics is the science of measurement, quantity and magnitude. Developing children's abilities for mathematics is the main goal of mathematics education. Its knowledge is exact, systematic, logical and clear. Mathematics involves the process for intellectual development of mental faculties. Besides the mental ability, mathematics develops some quality like concentration, truthfulness, seriousness and reasoning. Thus, in the words of Locke it is rightly said that, “Mathematics is a way to settle in the mind the habit of reasoning”. Statistics plays a vital role in every fields of human activity. It has important role in determining the existing position of per capita income, unemployment, population growth rate, housing, schooling medical facilities etc in a country. Modeling and Statistics are two branches of applied mathematics. Modeling involves fitting equations to data, usually just approximately. Statistics is the science of uncertainty. Mathematics is the most closely related subject “Statistics” in our daily life. This paper deals with the concept of the Mathematical techniques, Modeling .The Importance & Uses of Mathematical techniques and Modeling in the field of Statistics. It discusses the different Mathematical techniques and Modeling in respect to statistics. The paper also discusses “How to make statistics easy for learner by using Mathematical techniques and Modeling?”
Key words: Mathematical Modeling, Mathematical Techniques, Statistics, Population.

Subject:
Education
Material Type:
Reading
Author:
pawan ray
Date Added:
02/19/2019
Applied Mathematics Textbook
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CC BY
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This applied mathematics textbook covers Matrices and Pathways, Statistics and Probability, Finance, Cyclic, Recursive and Fractal Patterns, Vectors, and Design. The approach used is primarily data driven, using numerical and geometrical problem-solving techniques.

Subject:
Mathematics
Material Type:
Textbook
Provider:
Southern Alberta Institute of Technology
Author:
Ayopo Odunuga
Milad Sabeti
Yoni Porat
Date Added:
08/15/2019
Applied Probability
Unrestricted Use
CC BY
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This is a "first course" in the sense that it presumes no previous course in probability. The units are modules taken from the unpublished text: Paul E. Pfeiffer, ELEMENTS OF APPLIED PROBABILITY, USING MATLAB. The units are numbered as they appear in the text, although of course they may be used in any desired order. For those who wish to use the order of the text, an outline is provided, with indication of which modules contain the material.

Subject:
Statistics and Probability
Material Type:
Full Course
Provider:
Rice University
Provider Set:
OpenStax CNX
Author:
Paul E. Pfeiffer
Date Added:
09/18/2009
Applying Statistics to Nano-Circuit Dimensions in Fabrication
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Educational Use
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Measuring the dimensions of nano-circuits requires an expensive, high-resolution microscope with integrated video camera and a computer with sophisticated imaging software, but in this activity, students measure nano-circuits using a typical classroom computer and (the free-to-download) GeoGebra geometry software. Inserting (provided) circuit pictures from a high-resolution microscope as backgrounds in GeoGebra's graphing window, students use the application's tools to measure lengths and widths of circuit elements. To simplify the conversion from the on-screen units to the real circuits' units and the manipulation of the pictures, a GeoGebra measuring interface is provided. Students export their data from GeoGebra to Microsoft® Excel® for graphing and analysis. They test the statistical significance of the difference in circuit dimensions, as well as obtain a correlation between average changes in original vs. printed circuits' widths. This activity and its associated lesson are suitable for use during the last six weeks of the AP Statistics course; see the topics and timing note below for details.

Subject:
Mathematics
Statistics and Probability
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Cunjiang Yu
Miguel R. Ramirez
Minwei Xu
Song Chen
Date Added:
02/17/2017
Arithmetic for College Students
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This course is an arithmetic course intended for college students, covering whole numbers, fractions, decimals, percents, ratios and proportions, geometry, measurement, statistics, and integers using an integrated geometry and statistics approach. The course uses the late integers model—integers are only introduced at the end of the course.

Subject:
Mathematics
Material Type:
Full Course
Textbook
Provider:
Lumen Learning
Provider Set:
Candela Courseware
Author:
David Lippman
Date Added:
03/31/2016
Ballot Experiment
Unrestricted Use
CC BY
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This resource consists of a Java applet and expository text. The applet is a simulation of the ballot experiment: The votes in an election are randomly counted. The event of interest is that the winning candidate is always ahead in the vote count.

Subject:
Statistics and Probability
Material Type:
Activity/Lab
Interactive
Simulation
Provider:
University of Alabama in Huntsville
Provider Set:
Virtual Laboratories in Probability and Statistics
Author:
Kyle Siegrist
Date Added:
02/16/2011
Basic Monte Carlo Simulation for Beginning Econometrics
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CC BY-NC-SA
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Beginning econometrics students often have an uneven preparation in statistics. The simulation gives students a clearer understanding of the behavior of OLS estimators.

Subject:
Business and Communication
Economics
Material Type:
Activity/Lab
Simulation
Teaching/Learning Strategy
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Pedagogy in Action
Teaching and Learning Economics (SERC)
Author:
Betty J. Blecha
Date Added:
08/28/2012
Bayesian inference for psychology. Part II: Example applications with JASP
Unrestricted Use
CC BY
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Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t-test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP (http://www.jasp-stats.org), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder’s BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.

Subject:
Psychology
Material Type:
Reading
Provider:
Psychonomic Bulletin & Review
Author:
Akash Raj
Alexander Etz
Alexander Ly
Alexandra Sarafoglou
Bruno Boutin
Damian Dropmann
Don van den Bergh
Dora Matzke
Eric-Jan Wagenmakers
Erik-Jan van Kesteren
Frans Meerhoff
Helen Steingroever
Jeffrey N. Rouder
Johnny van Doorn
Jonathon Love
Josine Verhagen
Koen Derks
Maarten Marsman
Martin Šmíra
Patrick Knight
Quentin F. Gronau
Ravi Selker
Richard D. Morey
Sacha Epskamp
Tahira Jamil
Tim de Jong
Date Added:
08/07/2020