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  • Independent Variable
Remix
Analyzing Findings
Conditions of Use:
Remix and Share
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By the end of this section, you will be able to:Explain what a correlation coefficient tells us about the relationship between variablesRecognize that correlation does not indicate a cause-and-effect relationship between variablesDiscuss our tendency to look for relationships between variables that do not really existExplain random sampling and assignment of participants into experimental and control groupsDiscuss how experimenter or participant bias could affect the results of an experimentIdentify independent and dependent variables

Subject:
Social Science
Psychology
Material Type:
Module
Author:
Melinda Boland
Date Added:
01/12/2018
Cars: Engineering for Efficiency
Conditions of Use:
Read the Fine Print
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Students learn how the aerodynamics and rolling resistance of a car affect its energy efficiency through designing and constructing model cars out of simple materials. As the little cars are raced down a tilted track (powered by gravity) and propelled off a ramp, students come to understand the need to maximize the energy efficiency of their cars. The most energy-efficient cars roll down the track the fastest and the most aerodynamic cars jump the farthest. Students also work with variables and plot how a car's speed changes with the track angle.

Subject:
Engineering
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Eszter Horanyi
Jake Crosby
Janet Yowell
William Surles
Date Added:
09/18/2014
Forces and Graphing
Conditions of Use:
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Use this activity to explore forces acting on objects, practice graphing experimental data, and introduce the algebra concepts of slope and intercept of a line. A wooden 2 x 4 beam is set on top of two scales. Students learn how to conduct an experiment by applying loads at different locations along the beam, recording the exact position of the applied load and the reaction forces measured by the scales at each end of the beam. In addition, students analyze the experiment data with the use of a chart and a table, and model/graph linear equations to describe relationships between independent and dependent variables.

Subject:
Engineering
Mathematics
Physics
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Ivanka Todorova
Jed Lyons
John Brader
Veronica Addison
Date Added:
09/18/2014
How do Atmospheres Affect Planetary Temperatures: Activity A How do Atmospheres Interact with Solar Energy?
Rating

In this 2-part inquiry-based lesson, students conduct a literature search to determine the characteristics of the atmospheres of different planets (Venus, Mercury, Mars and Earth). After collecting and analyzing data, student teams design and conduct a controlled physical experiment using a lab apparatus to learn about the interaction of becomes CO², air, and temperature. The resource includes student worksheets, a design proposal, and student questions. Connections to contemporary climate change are addressed. This lesson is the first of four in Topic 4, "How do Atmospheres Affect Planetary Temperatures?" within the resource, Earth Climate Course: What Determines a Planet's Climate?

Subject:
Ecology
Forestry and Agriculture
Atmospheric Science
Material Type:
Activity/Lab
Data Set
Lesson Plan
Student Guide
Provider:
NASA
Provider Set:
NASA Wavelength
Date Added:
11/05/2014
Lab Research to Engineer a Phosphorescent Bioplastic
Conditions of Use:
No Strings Attached
Rating

Students gain first-hand experience with the steps of the scientific method as well as the overarching engineering design process as they conduct lab research with the aim to create a bioplastic with certain properties. Students learn about the light mechanism that causes ultraviolet bead color change, observe the effect of different light waves on a phosphorescence powder, and see the connection between florescence, phosphorescence and wavelength. Students compose hypotheses and determine experimental procedure details, as teams engineer variations on a bioplastic solid embedded with phosphorescence powder. The objective is to make a structurally sound bioplastic without reducing its glowing properties from the powder embedded within its matrix. Groups conduct qualitative and quantitative analyses of their engineered plastics, then recap and communicate their experiment conclusions in the form of a poster, slides and verbal presentation. As an extension, teams make their own testing apparatuses. As a further extension, they combine all the group results to determine which bioplastic matrix best achieves the desired properties and then “manufacture” the optimum bioplastic into glowing toy figurine end products! Many handouts, instructions, photos and rubrics are provided.

Subject:
Engineering
Chemistry
Physics
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
Activities
Author:
Jamie Sorrell
Michael Hipp
Date Added:
09/23/2017
Mint-Mobiles
Conditions of Use:
Read the Fine Print
Rating

Students design, build and test model race cars made from simple materials (lifesaver-shaped candies, plastic drinking straws, Popsicle sticks, index cards, tape) as a way to explore independent, dependent and control variables. They measure the changes in distance travelled with the addition of mass to the vehicles. Students also practice the steps of the engineering design process by brainstorming, planning, building, testing, and improving their "mint-mobiles."

Subject:
Engineering
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Denise W. Carlson
Lesley Herrmann
Stephanie Rivale
Date Added:
09/18/2014
Modeling Hot and Cold Planets: Activity A Modeling Hot and Cold Planets
Rating

In this activity, student teams design small-scale physical models of hot and cold planets, (Venus and Mars), and learn that small scale models allow researchers to determine how much larger systems function. There is both a team challenge and competition built into this activity. Experimental findings are then used to support a discussion of human outposts on Mars. The resource includes an experimental design guide for students as well as a handout outlining a method for the design of controlled experiments, and student data sheets. Student questions and an essay assignment are provided as classroom assessments. This is Activity A in the second module, titled "Modeling hot and cold planets," of the resource, "Earth Climate Course: What Determines a Planet's Climate?" The course aims to help students to develop an understanding of our environment as a system of human and natural processes that result in changes that occur over various space and time scales.

Subject:
Life Science
Mathematics
Atmospheric Science
Material Type:
Data Set
Lesson Plan
Unit of Study
Provider:
NASA
Provider Set:
NASA Wavelength
Date Added:
11/05/2014
Multiple linear regression (10:43)
Rating

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:
Health, Medicine and Nursing
Statistics and Probability
Material Type:
Lecture
Provider:
Umeå University
Provider Set:
Quantitative Research Methods
Author:
Associate professor in epidemiology and biostatistics
Marie Lindqvist
Date Added:
11/01/2014
Obi-Wan Adobe: Engineering for Strength
Conditions of Use:
Read the Fine Print
Rating

Students conduct an experiment to determine how varying the composition of a construction material affects its strength. They make several adobe bricks with differing percentages of sand, soil, fibrous material and water. They test the bricks for strength by dropping them onto a concrete surface from progressively greater heights. Students graph the experiment results and use what they learn to design their own special mix that maximizes the bricks' strength. During the course of the experiment, students learn about variables (independent, dependent, control) and the steps of the engineering design process.

Subject:
Architecture and Design
Engineering
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Jacob Crosby
Malinda Schaefer Zarske
Stephanie Rivale
Date Added:
09/18/2014
Overview of basic Logistic- and Cox regression (12:36)
Rating

An introduction and examples of how to use the basic ideas and steps in logistic regression and Cox regression. Regression is about trying to explain phenomena in reality by constructing a mathematical model that describes reality.

Subject:
Health, Medicine and Nursing
Statistics and Probability
Material Type:
Lecture
Provider:
Umeå University
Provider Set:
Quantitative Research Methods
Author:
Associate professor in epidemiology and biostatistics
Marie Lindqvist
Date Added:
11/01/2014
Psychology
Conditions of Use:
No Strings Attached
Rating

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, Psychological Research, Analyzing Findings
Conditions of Use:
Remix and Share
Rating

By the end of this section, you will be able to:Explain what a correlation coefficient tells us about the relationship between variablesRecognize that correlation does not indicate a cause-and-effect relationship between variablesDiscuss our tendency to look for relationships between variables that do not really existExplain random sampling and assignment of participants into experimental and control groupsDiscuss how experimenter or participant bias could affect the results of an experimentIdentify independent and dependent variables

Subject:
Social Science
Psychology
Material Type:
Module
Provider:
Rice University
Provider Set:
OpenStax College
Date Added:
07/10/2017
Psychology, Psychological Research, Introduction
Conditions of Use:
No Strings Attached
Rating

This chapter covers:Why is Research Important?Approaches to ResearchAnalyzing FindingsEthicsFor more information, visit OpenStax College.

Subject:
Social Science
Psychology
Material Type:
Module
Provider:
Rice University
Provider Set:
OpenStax College
Date Added:
07/10/2017
Study Design for Air Quality Research
Conditions of Use:
Read the Fine Print
Rating

Students take an in-depth look at what goes into planning a research project, which prepares them to take the lead on their own projects. Examining a case study, students first practice planning a research project that compares traditional cook stoves to improved cook stoves for use in the developing world. Then they compare their plans to one used in the real-world by professional researchers, gaining perspective and details on the thought and planning that goes into good research work. Then students are provided with example materials, a blank template and support to take them from brainstorming to completing a detailed research plan for their own air quality research projects. Conducting students’ AQ-IQ research studies requires additional time and equipment beyond this planning activity. Then after the data is collected and analyzed, teams interpret the data and present summary research posters by conducting the next associated activity Numerous student handouts and a PowerPoint® presentation are provided.

Subject:
Career and Technical Education
Physical Science
Material Type:
Activity/Lab
Provider:
TeachEngineering
Author:
Ashley Collier
Ben Graves
Daniel Knight
Drew Meyers
Eric Ambos
Eric Lee
Erik Hotaling
Evan Coffey
Hanadi Adel Salamah
Joanna Gordon
Katya Hafich
Michael Hannigan
Nicholas VanderKolk
Olivia Cecil
Victoria Danner
Date Added:
02/07/2017
Using Mathematical Models to Investigate Planetary Habitability: Activity A Finding a Mathematical Description of a Physical Relationship
Rating

In this activity, student teams learn about research design and design a controlled experiment exploring the relationship between a hypothetical planet, an energy source, and distance. They analyze the data and derive an equation to describe the observations. Includes student data sheets, a teacher's guide, and a tutorial on how to use the spreadsheet program Excel. This is Activity A in module 3, titled "Using Mathematic Models to Investigate Planetary Habitability," of the resource, Earth Climate Course: What Determines a Planet's Climate? The course aims to help students to develop an understanding of our environment as a system of human and natural processes that result in changes that occur over various space and time scales.

Subject:
Life Science
Mathematics
Atmospheric Science
Material Type:
Data Set
Lesson Plan
Provider:
NASA
Provider Set:
NASA Wavelength
Date Added:
11/05/2014
Variables and Graphs: What's Our Story?
Conditions of Use:
Read the Fine Print
Rating

Students learn how to quickly and efficiently interpret graphs, which are used for everyday purposes as well as engineering analysis. Through a practice handout completed as a class and a worksheet completed in small groups, students gain familiarity in talking about and interpreting graphs. They use common graph terminology such as independent variable, dependent variable, linear data, linear relationship and rate of change. The equation for calculating slope is explained. The focus is on students becoming able to clearly describe linear relationships by using the language of slope and the rate of change between variables. At lesson end, students discuss the relationship between variables as presented by the visual representation of a graph. Then they independently complete a homework handout.

Subject:
Engineering
Mathematics
Material Type:
Lesson Plan
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Carleigh Samson
Date Added:
09/18/2014