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Mostly Harmless Probability and Statistics for NMC

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Mostly Harmless Probability and Statistics for NMC

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This text is for an introductory level course in probability and statistics.

This work, "Mostly Harmless Probability and Statistics for NMC", is a derivative of "Mostly
Harmless Statistics" by Rachel Webb used under CC BY-NC 4.0. "Mostly Harmless Probability
and Statistics for NMC" is licensed under CC BY-NC 4.0 by Briana Mills.

Rachel Webb’s original text was a combination of Webb’s work, Statistics
Using Technology by Kathryn Kozak, and OpenIntro Statistics by Diez, Barr, Çetinkaya-Rundel.
All texts are licensed under CC BY-SA 4.0. Additional problem sets provided by Whitney Cave.
It has been updated by Briana Mills with help from Nate Butler and Tony Jenkins to match the
curriculum at NMC.

The textbook solutions for this book are available at: https://drive.google.com/drive/u/1/folders/1BTXchIplWzk0mjohao2xrE4cfeOOUsvI

Subject:: Mathematics; Statistics and Probability
Material Type:: Textbook
Author:: Briana Mills
Date Added:: 05/31/2022

Mostly Harmless Statistics

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Mostly Harmless Statistics

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This text is for an introductory level probability and statistics course with an intermediate algebra prerequisite. The focus of the text follows the American Statistical Association’s Guidelines for Assessment and Instruction in Statistics Education (GAISE). Software examples provided for Microsoft Excel, TI-84 & TI-89 calculators. A formula packet and pdf version of the text are available on the website http://mostlyharmlessstatistics.com. Students new to probability and statistics are sure to benefit from this fully ADA accessible and relevant textbook. The examples resonate with everyday life, the text is approachable, and has a conversational tone to provide an inclusive and easy to read format for students.

Subject:: Mathematics; Statistics and Probability
Material Type:: Textbook
Author:: Rachel L. Webb
Date Added:: 11/18/2021

Mouse Experiment

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Mouse Experiment

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This Flash based applet simulates data from a case study of treatments for tumor growth in mice. This simulation allows the user to place mice into a control and treatment groups.

Subject:: Mathematics; Statistics and Probability
Material Type:: Activity/Lab
Provider:: Consortium for the Advancement of Undergraduate Statistics Education
Provider Set:: Causeweb.org
Author:: Dennis Pearl; Tom Santner
Date Added:: 02/16/2011

Mr. Brigg's Class Likes Math

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Mr. Brigg's Class Likes Math

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This task requires students to think about what makes a representative sample.

Subject:: Mathematics; Statistics and Probability
Material Type:: Activity/Lab
Provider:: Illustrative Mathematics
Provider Set:: Illustrative Mathematics
Author:: Illustrative Mathematics
Date Added:: 08/21/2012

Multiple linear regression (10:43)

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Multiple linear regression (10:43)

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An introduction and examples of how to use Multiple linear regression. The Linear regression model investigates a linear relationship. The dependent variable should be quantitative and normally distributed. The Multiple Regression Model includes more than one independent variable. The Multiple Regression Model is introduced with real data from the Swedish pregnancy register.

Subject:: Applied Science; Health, Medicine and Nursing; Mathematics; Statistics and Probability
Material Type:: Lecture
Provider:: Umeå University
Provider Set:: Quantitative Research Methods
Author:: Marie Lindqvist; Associate professor in epidemiology and biostatistics
Date Added:: 11/01/2014

Music and Sports

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Music and Sports

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In this group task students collect data and analyze from the class to answer the question "is there an association between whether a student plays a sport and whether he or she plays a musical instrument? "

Subject:: Mathematics; Statistics and Probability
Material Type:: Activity/Lab
Provider:: Illustrative Mathematics
Provider Set:: Illustrative Mathematics
Author:: Illustrative Mathematics
Date Added:: 10/09/2012

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My Dream Home

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Students will analyze and interpret American Community Survey (ACS) data on housing characteristics in the United States, comparing these data with those they collect from their classmates. Students also will determine what their dream home would look like and will use flat, two-dimensional shapes to construct it.

Subject:: Mathematics; Statistics and Probability
Material Type:: Activity/Lab
Provider:: U.S. Census Bureau
Provider Set:: Statistics in Schools
Date Added:: 10/15/2019

My Special Place

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My Special Place

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Students pick a place of significance to them (their Special Place) for analysis in this semester-long project. (A model is provided by the instructor using a place the students are not likely to have visited.)

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Subject:: Biology; Geoscience; Life Science; Mathematics; Measurement and Data; Physical Science; Statistics and Probability
Material Type:: Lesson Plan
Provider:: Science Education Resource Center (SERC) at Carleton College
Provider Set:: Teach the Earth
Author:: Sadredin Moosavi
Date Added:: 09/11/2020

Mystery in Alaska: A Study of the 2000 Fishing Ban

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Mystery in Alaska: A Study of the 2000 Fishing Ban

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Solving Mystery in Alaska and investigating the role of science in July 2000 Alaska fishing ban with the intention to protect Steller sea lions.

Subject:: Business and Communication; Communication; Composition and Rhetoric; English Language Arts; Mathematics; Measurement and Data; Statistics and Probability
Material Type:: Activity/Lab
Provider:: Science Education Resource Center (SERC) at Carleton College
Provider Set:: Teach the Earth
Author:: Tun Myint
Date Added:: 01/20/2023

Narratives and Names

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Narratives and Names

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This activity serves as an introduction to a narrative writing assignment. To provide context for this activity, teachers will give students an overview of the Census Bureau. Then, students will complete a Quickwrite about their name and its history. After that, students will examine and answer questions about census data on popular last names, listen to a story about names, and complete a Quickwrite about that story. To further prepare for their narrative writing assignment about names (which is not part of this activity), students will jot down their thoughts in a graphic organizer.

Subject:: Mathematics; Statistics and Probability
Material Type:: Activity/Lab
Provider:: U.S. Census Bureau
Provider Set:: Statistics in Schools
Date Added:: 10/18/2019

Narratives and the Policy Process: Applications of the Narrative Policy Framework

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Narratives and the Policy Process: Applications of the Narrative Policy Framework

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Applications of the Narrative Policy Framework

Word Count: 101834

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Subject:: Applied Science; Information Science; Mathematics; Statistics and Probability
Material Type:: Textbook
Provider:: Montana State University
Date Added:: 01/26/2024

National Health and Nutrition Examination Survey (NHANES) Data Portal

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National Health and Nutrition Examination Survey (NHANES) Data Portal

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Access and explore large datasets from the National Health and Nutrition Examination Survey (NHANES, 2003). Working with large datasets that emphasize exploration, finding patterns, and modeling is an essential first step in becoming fluent with data. This activity is a great place for students to start, since the dataset is straightforward and students can decide on the data they want to explore, including height, age, weight, and many other health-related attributes. Students begin by selecting and then investigating subsets of the dataset, for example, to find the cholesterol level of U.S. citizens. Then, working with their classmates or individually, students can try their own data science challenges, such as finding health trends in a subset of Americans by their household income, age, or marital status, etc.

Subject:: Mathematics; Measurement and Data; Statistics and Probability
Material Type:: Activity/Lab; Simulation
Author:: Concord Consortium
Date Added:: 08/20/2020

Native American Dwellings

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Native American Dwellings

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In this activity, students will look at historical images to learn about three types of Native American dwellings — teepees, pueblo adobe structures, and hogans. Students will make observations about the types of dwellings in the images. Then students will discuss their observations as a class.

Subject:: Mathematics; Statistics and Probability
Material Type:: Activity/Lab
Provider:: U.S. Census Bureau
Provider Set:: Statistics in Schools
Date Added:: 10/16/2019

Natural Resources Biometrics

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Natural Resources Biometrics

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Short Description:
Return to milneopentextbooks.org to download PDF and other versions of this textNewParaNatural Resources Biometrics begins with a review of descriptive statistics, estimation, and hypothesis testing. The following chapters cover one- and two-way analysis of variance (ANOVA), including multiple comparison methods and interaction assessment, with a strong emphasis on application and interpretation. Simple and multiple linear regressions in a natural resource setting are covered in the next chapters, focusing on correlation, model fitting, residual analysis, and confidence and prediction intervals. The final chapters cover growth and yield models, volume and biomass equations, site index curves, competition indices, importance values, and measures of species diversity, association, and community similarity.

Long Description:
Natural Resources Biometrics begins with a review of descriptive statistics, estimation, and hypothesis testing. The following chapters cover one- and two-way analysis of variance (ANOVA), including multiple comparison methods and interaction assessment, with a strong emphasis on application and interpretation. Simple and multiple linear regressions in a natural resource setting are covered in the next chapters, focusing on correlation, model fitting, residual analysis, and confidence and prediction intervals. The final chapters cover growth and yield models, volume and biomass equations, site index curves, competition indices, importance values, and measures of species diversity, association, and community similarity.

Word Count: 52267

ISBN: 978-1-942341-17-8

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Subject:: Ecology; Life Science; Mathematics; Statistics and Probability
Material Type:: Textbook
Provider:: State University of New York
Author:: Diane Kiernan
Date Added:: 01/16/2014

Neural Networks

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Neural Networks

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This lesson centers around the How AI Works: Neural Networks video from the How AI Works video series. Watch this video first before exploring the lesson plan.

Students learn how neural networks work. They first discuss an example of an experience that recommends things to you. They then use a widget that recommends videos based on one person. Students watch a video explaining neural networks. They use an updated widget to adjust the weights of each person. Finally, students discuss the need for diverse perspectives when creating recommendation systems.

This lesson can be taught on its own, or as part of a 7-lesson sequence on How AI Works. Duration: 45 minutes

Subject:: Applied Science; Computer Science; Mathematics; Statistics and Probability
Material Type:: Lesson Plan
Provider:: Code.org
Provider Set:: How AI Works
Date Added:: 04/03/2024

Neural Networks: Crash Course Statistics #41

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Neural Networks: Crash Course Statistics #41

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Today we're going to talk big picture about what Neural Networks are and how they work. Neural Networks, which are computer models that act like neurons in the human brain, are really popular right now - they're being used in everything from self-driving cars and Snapchat filters to even creating original art! As data gets bigger and bigger neural networks will likely play an increasingly important role in helping us make sense of all that data.

Subject:: Mathematics; Statistics and Probability
Material Type:: Lecture
Provider:: Complexly
Provider Set:: Crash Course Statistics
Date Added:: 12/12/2018

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The New Normal

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Students will explore distributions of various census data sets to determine whether it can be reasonably assumed that those data follow a normal distribution, based on students’ analysis of either a histogram or a normal probability plot for each data set. They will then discuss their findings with a partner who analyzed the other type of graph for each data set.

Subject:: Mathematics; Statistics and Probability
Material Type:: Activity/Lab
Provider:: U.S. Census Bureau
Provider Set:: Statistics in Schools
Date Added:: 10/15/2019

Normal Distribution

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Normal Distribution

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The applets in this section allow users to see how probabilities and quantiles are determined from a Normal distribution. For calculating probabilities, set the mean, variance, and limits; for calculating quantiles, set the mean, variance, and probability.

Subject:: Mathematics; Statistics and Probability
Material Type:: Activity/Lab
Provider:: Consortium for the Advancement of Undergraduate Statistics Education
Provider Set:: Causeweb.org
Author:: C. Anderson-Cook, S. Dorai-Raj, T. Robinson, Virginia Tech Department of Statistics
Date Added:: 02/16/2011

The Normal Distribution: Crash Course Statistics #19

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The Normal Distribution: Crash Course Statistics #19

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Today is the day we finally talk about the normal distribution! The normal distribution is incredibly important in statistics because distributions of means are normally distributed even if populations aren't. We'll get into why this is so - due to the Central Limit Theorem - but it's useful because it allows us to make comparisons between different groups even if we don't know the underlying distribution of the population being studied.

Subject:: Mathematics; Statistics and Probability
Material Type:: Lecture
Provider:: Complexly
Provider Set:: Crash Course Statistics
Date Added:: 06/06/2018

Normal Distribution Lesson

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Normal Distribution Lesson

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Lesson introduces normal distribution and how it relates to standard deviation. It includes opportunities for students to notice key features of normal distribution graphs, reviews the concept of standard distribution and the empirical rule, and provides an interactive activity where they can practice adjusting normal distribution curves based on a different standard deviation or mean.

Subject:: Mathematics; Statistics and Probability
Material Type:: Activity/Lab
Author:: Melissa Hesterman
Date Added:: 10/01/2019