Updating search results...

Search Resources

23 Results

View
Selected filters:
  • Regression
Averages: Still Flawed
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This learning video continues the theme of an early BLOSSOMS lesson, Flaws of Averages, using new examples—including how all the children from Lake Wobegon can be above average, as well as the Friendship Paradox. As mentioned in the original module, averages are often worthwhile representations of a set of data by a single descriptive number. The objective of this module, once again, is to simply point out a few pitfalls that could arise if one is not attentive to details when calculating and interpreting averages. Most students at any level in high school can understand the concept of the flaws of averages presented here. The essential prerequisite knowledge for this video lesson is the ability to calculate an average from a set of numbers. Materials needed include: pen and paper for the students; a blackboard or equivalent; and coins (one per student) or something similar that students can repeatedly use to create a random event with equal chances of the two outcomes (e.g. flipping a fair coin). The coins or something similar are recommended for one of the classroom activities, which will demonstrate the idea of regression toward the mean. Another activity will have the students create groups to show how the average number of friends of friends is greater than or equal to the average number of friends in a group, which is known as The Friendship Paradox. The lesson is designed for a typical 50-minute class session.

Subject:
Mathematics
Material Type:
Lecture
Provider:
MIT
Provider Set:
MIT Blossoms
Author:
Dan Livengood, Rhonda Jordan
Date Added:
02/13/2015
Big Data Analytics: IOT BASED RECOMMENDATION SYSTEM FOR TOURISM
Unrestricted Use
CC BY
Rating
0.0 stars

The IOT services are for customer convenience, control in online booking IOT services such as radio station, smart coffee makers, dim lights and energy programmed lights. Our System will able to recommend the valid customer opinion by analyzing UAE, UK and Oman hotel aspects like services, value, cleanliness and location from customers’ reviews. it include the Big Analytics, Hadoop, HDFS, Sentiment Analytics, Emotion Analytics, ANOVA in Map-Reduce.

Subject:
Computer Science
Material Type:
Module
Author:
Sharjeel Imtiaz
Date Added:
04/11/2019
Big Data Analytics: IOT Recomendation system for Tourism
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This project will recommend a big data analytics tool for the customers, ministry and hotels in Oman to adapt new hotel services after considering together hotel services with customer opinions. The IOT services are for customer convenience, control in online booking IOT services such as radio station, smart coffee makers, dim lights and energy programmed lights.The big data analytics will analyze the hotel information , rating and reviews of UK , Dubai to recomend aspect like services especially IOT services. The coverage of Analysis in R: Big data Analytics with Hadoop/HDFS Sentiment AnalysisEmotion Analysis Machine Learning K-mean , Regression and Neural NetworkAnova version to analyze Big data of 90k reviews 

Subject:
Information Science
Material Type:
Module
Author:
sharjeel imtiaz
Date Added:
04/11/2019
Biostatistics Methods 2
Conditional Remix & Share Permitted
CC BY-SA
Rating
0.0 stars

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
Econometrics Textbook
Read the Fine Print
Educational Use
Rating
0.0 stars

Econometrics is the study of estimation and inference for economic models using economic data. Econometric theory concerns the study and development of tools and methods for applied econometric applications. Applied econometrics concerns the application of these tools to economic data.

Subject:
Business and Communication
Economics
Material Type:
Textbook
Provider:
University of Wisconsin
Author:
Bruce Hansen
Date Added:
01/01/2016
Identifying a Theft Suspect
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This model-eliciting activity (MEA) challenges students to develop a model for predicting the characteristics of a person who has committed a crime. Students work with real data on shoe length, height, and gender to develop the model. Students write a report to the crime victim that identifies a suspect and justifies their decision. The activity sets the stage for students to learn about regression models, and reinforces their understanding of central tendency and variability. It is suggested that this activity be used prior to a formal introduction to linear relationships.

Subject:
Mathematics
Material Type:
Activity/Lab
Assessment
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Measuring Study Effectiveness
Date Added:
08/28/2012
Introduction to Modern Statistics
Conditional Remix & Share Permitted
CC BY-SA
Rating
0.0 stars

This is the website for Introduction to Modern Statistics, First Edition by Mine Çetinkaya-Rundel and Johanna Hardin. Introduction to Modern Statistics, which we’ll refer to as IMS going forward, is a textbook from the OpenIntro project.

Copyright © 2021.
First Edition.
Version date: June 27, 2021.

This textbook and its supplements, including slides, labs, and interactive tutorials, may be downloaded for free at
openintro.org/book/ims.

This textbook is a derivative of OpenIntro Statistics 4th Edition and Introduction to Statistics with Randomization and Simulation 1st Edition by Diez, Barr, and Çetinkaya-Rundel, and it’s available under a Creative Commons Attribution-ShareAlike 3.0 Unported United States License. License details are available at the Creative Commons website: creativecommons.org.

Source files for this book may be found on GitHub at github.com/openintrostat/ims.

Subject:
Statistics and Probability
Material Type:
Textbook
Author:
Johanna Hardin
Mine Çetinkaya-Rundel
Date Added:
06/28/2021
Introductory Business Statistics
Unrestricted Use
CC BY
Rating
0.0 stars

The book "Introductory Business Statistics" by Thomas K. Tiemann explores the basic ideas behind statistics, such as populations, samples, the difference between data and information, and most importantly sampling distributions. The author covers topics including descriptive statistics and frequency distributions, normal and t-distributions, hypothesis testing, t-tests, f-tests, analysis of variance, non-parametric tests, and regression basics. Using real-world examples throughout the text, the author hopes to help students understand how statistics works, not just how to "get the right number."

Subject:
Statistics and Probability
Material Type:
Textbook
Provider:
BCcampus
Provider Set:
BCcampus Open Textbooks
Author:
Thomas K. Tiemann
Date Added:
12/02/2019
Introductory Business Statistics with Interactive Spreadsheets - 1st Canadian Edition
Unrestricted Use
CC BY
Rating
0.0 stars

"Introductory Business Statistics with Interactive Spreadsheets - 1st Canadian Edition" is an adaptation of Thomas K. Tiemann's book, "Introductory Business Statistics". In addition to covering basics such as populations, samples, the difference between data and information, and sampling distributions, descriptive statistics and frequency distributions, normal and t-distributions, hypothesis testing, t-tests, f-tests, analysis of variance, non-parametric tests, and regression basics, the following information has been added: the chi-square test and categorical variables, null and alternative hypotheses for the test of independence, simple linear regression model, least squares method, coefficient of determination, confidence interval for the average of the dependent variable, and prediction interval for a specific value of the dependent variable. This new edition also allows readers to learn the basic and most commonly applied statistical techniques in business in an interactive way -- when using the web version -- through interactive Excel spreadsheets. All information has been revised to reflect Canadian content.

Subject:
Business and Communication
Statistics and Probability
Material Type:
Textbook
Provider:
BCcampus
Provider Set:
BCcampus Open Textbooks
Author:
Mohammad Mahbobi, Thompson Rivers University; Thomas K. Tiemann, Elon University
Date Added:
04/19/2016
Manpower Planning: HR Demand Forecasting Lecture 4
Only Sharing Permitted
CC BY-ND
Rating
0.0 stars

This video lecture describes manpower planning process, various trends affecting HR demand forecasting. It also discusses quantitative and qualitative techniques of HR Demand forecasting.

Subject:
Management
Material Type:
Lecture
Author:
Dr. Chandrakanta Sahoo
Date Added:
07/31/2021
Math 1010: Math for General Studies
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This is a three-credit course which covers topics that enhance the students’ problem solving abilities, knowledge of the basic principles of probability/statistics, and guides students to master critical thinking/logic skills, geometric principles, personal finance skills. This course requires that students apply their knowledge to real-world problems. A TI-84 or comparable calculator is required. The course has four main units: Thinking Algebraically, Thinking Logically and Geometrically, Thinking Statistically, and Making Connections. This course is paired with a course in MyOpenMath which contains the instructor materials (including answer keys) and online homework system with immediate feedback. All course materials are licensed by CC-BY-SA unless otherwise noted.

Date Added:
07/08/2021
Math 1010: Math for General Studies, Making Connections, Regression Project
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

In this project, students will have the opportunity to explore regression in more detail. Specifically, they will be looking at how Covid-19 Stimulus money was distributed to each state in the country.

Subject:
Mathematics
Material Type:
Full Course
Author:
Jillian Miller
Misty Anderson
Ashley Morgan
Heather Doncaster
Brad Fox
Jessica Chambers
Stefanie Holmes
Jillian Miller
Megan Simmons
Date Added:
07/08/2021
Math 1010: Math for General Studies, Thinking Statistically, Statistics
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Topics List for this Lesson: Sampling, Frequency Distributions, and GraphsMeasures of CenterMeasures of VarianceNormal Distributions and Problem SolvingZ-Scores and Unusual ValuesEmpirical Rule and Central Limit TheoremScatterplots, Correlation, and Regression

Subject:
Mathematics
Material Type:
Full Course
Author:
Jillian Miller
Misty Anderson
Ashley Morgan
Heather Doncaster
Brad Fox
Jessica Chambers
Stefanie Holmes
Jillian Miller
Megan Simmons
Date Added:
07/08/2021
Psychology
Unrestricted Use
CC BY
Rating
0.0 stars

Psychology is designed to meet scope and sequence requirements for the single-semester introduction to psychology course. The book offers a comprehensive treatment of core concepts, grounded in both classic studies and current and emerging research. The text also includes coverage of the DSM-5 in examinations of psychological disorders. Psychology incorporates discussions that reflect the diversity within the discipline, as well as the diversity of cultures and communities across the globe.Senior Contributing AuthorsRose M. Spielman, Formerly of Quinnipiac UniversityContributing AuthorsKathryn Dumper, Bainbridge State CollegeWilliam Jenkins, Mercer UniversityArlene Lacombe, Saint Joseph's UniversityMarilyn Lovett, Livingstone CollegeMarion Perlmutter, University of Michigan

Subject:
Social Science
Psychology
Material Type:
Full Course
Provider:
Rice University
Provider Set:
OpenStax College
Date Added:
02/14/2014
Psychology, Personality, Freud and the Psychodynamic Perspective
Conditional Remix & Share Permitted
CC BY-NC
Rating
0.0 stars

By the end of this section, you will be able to:Describe the assumptions of the psychodynamic perspective on personality developmentDefine and describe the nature and function of the id, ego, and superegoDefine and describe the defense mechanismsDefine and describe the psychosexual stages of personality development

Subject:
Social Science
Psychology
Material Type:
Module
Provider:
Rice University
Provider Set:
OpenStax College
Date Added:
07/10/2017
Regression
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
3.0 stars

This applet from Statistical Java allows the user to generate bivariate data for analysis with simple linear regression. The page describes the equations used to generate the data and estimate the regression lines.

Subject:
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Consortium for the Advancement of Undergraduate Statistics Education
Provider Set:
Causeweb.org
Author:
Anderson-Cook, C.
C.Anderson-Cook
Dorai-Raj, S.
Robinson, T.
S.Dorai-Raj
T.Robinson
Date Added:
02/16/2011
Star Library: Regression - Residuals - Why?
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

As teachers of statistics, we know that residual plots and other diagnostics are important to deciding whether or not linear regression is appropriate for a set of data. Despite talking with our students about this, many students might believe that if the correlation coefficient is strong enough, these diagnostic checks are not important. The data set included in this activity was created to lure students into a situation that looks on the surface to be appropriate for the use of linear regression but is instead based (loosely) on a quadratic function.

Subject:
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Consortium for the Advancement of Undergraduate Statistics Education
Provider Set:
Causeweb.org
Author:
Jacqueline B. Miller
Miller, Jacqueline B.
Date Added:
02/16/2011