Samantha Pozzulo Coordinating Seminar Dr. Fothergill

Slides:



Advertisements
Similar presentations
Bivariate Data Report Structure.
Advertisements

College and Career-Readiness Conference Summer 2014 FOR HIGH SCHOOL MATHEMATICS TEACHERS.
Lunch and Learn: A Collaborative Time for North Carolina Teachers
Warm-Up: Determine the slope to be positive, negative, zero, or undefined for the two sets of relations and the graph. 1.(2,1),(4,2),(6,3)3. 2. (3,0),
Graphing data.
CHAPTER 24: Inference for Regression
Barbie Bungee Jumping Lab
Graphing. Data Tables Time(seconds)Distance(meters) Straight lines drawn with a ruler Independent Variable Dependent Variable Units.
Barbie Bungee Jumping: Graphing and Extrapolating Data
Barbie Bungee Jumping: Graphing and Extrapolating Data
Unit 3 Linear Functions and Patterns
Testing Bridge Lengths The Gadsden Group. Goals and Objectives Collect and express data in the form of tables and graphs Look for patterns to make predictions.
Graphing. Independent vs. Dependent In an experiment, the variable that YOU change is the Independent Variable In an experiment, the variable that YOU.
© 2012 Common Core, Inc. All rights reserved. commoncore.org NYS COMMON CORE MATHEMATICS CURRICULUM A Story of Ratios Grade 8 – Module 6 Linear Functions.
T HE B UNGY E XPERIENCE Barbie and Friends go for a Bungy Jump – the analysis of the event.
8 th Grade Math Common Core Standards. The Number System 8.NS Know that there are numbers that are not rational, and approximate them by rational numbers.
Overview of CCSS Statistics and Probability Math Alliance September 2011.
Relationships If we are doing a study which involves more than one variable, how can we tell if there is a relationship between two (or more) of the.
5.1 WELCOME TO COMMON CORE HIGH SCHOOL MATHEMATICS LEADERSHIP SUMMER INSTITUTE 2014 SESSION 5 20 JUNE 2014 SEEING PATTERNS AND TRENDS IN BIVARIATE DATA.
Barbie Bungee Jump Question: How many rubber bands will it take for Barbie to safely Bungee off of the stairwell balcony?
How can you construct and interpret scatter plots?
Unit 4 Lesson 7 Demonstrating Mastery M.8.SP.3 To demonstrate mastery of the objectives in this lesson you must be able to:  Interpret the slope and.
Engineering Design Challenge: To Create a Safe Bungee Cord for Washy  Meet Washy!
Engineering Solutions Event October 29, Engineers ●Design products & processes ●Test safety.
Lesson – Teacher Notes Standard: 8.SP.A.1 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association.
Linear Best Fit Models Learn to identify patterns in scatter plots, and informally fit and use a linear model to solve problems and make predictions as.
Lesson – Teacher Notes Standard: 8.SP.A.1 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association.
When measuring length, always: -measure from the 0 line (not the end of the ruler) -measure from the correct ruler side -look at eye level Measurements:
Lesson – Teacher Notes Standard: 8.SP.A.3 Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting.
Chapter 9 Scatter Plots and Data Analysis LESSON 1 SCATTER PLOTS AND ASSOCIATION.
Lesson – Teacher Notes Standard: 8.SP.A.2 Know that straight lines are widely used to model relationships between two quantitative variables. For.
TRIGG COUNTY MIDDLE SCHOOL. 6 th Grade Reading Standard% of Students scoring 80% or higher.
CCSS.Math.Content.8.SP.A.1 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities.
Linear Best Fit Models Look at the scatter plot to the right and make some observations.
Barbie Bungee Jumping: Graphing and Extrapolating Data
Lesson – Teacher Notes Standard:
Day 38 – Line of Best Fit (Day 2)
Chapter 1 Lesson 1.
Homework: Study unit 6 Notes *Unit test Friday, april 22
Scatter Plots and Association
Writing About Math Complete 1-5 Silently
Chapter 3: Linear models
Lesson – Teacher Notes Standard:
Introduction The fit of a linear function to a set of data can be assessed by analyzing residuals. A residual is the vertical distance between an observed.
Homework: Residuals Worksheet
Scatter Plots - Line of Best Fit
Lesson 5.3 How do you write linear equations in point-slope form?
Lesson 4.5 Functions Fitted to Data
Introduction to Probability and Statistics Thirteenth Edition
Writing Linear Equations from Situations, Graphs, & Tables
Writing About Math Lola found juice bottles advertised at Sam’s for cases of 12, for $8.99. She normally buys the same juice bottles for $.79 each, at.
Chapter 3 Describing Relationships Section 3.2
Barbie Bungee Jump Question:
Graphing.
Writing Linear Equations from Graphs & Tables
Day 38 – Line of Best Fit (Day 2)
on back shelf-but do not begin.
A. Draw a trend line. It will be easier to write an equation
Introduction The fit of a linear function to a set of data can be assessed by analyzing residuals. A residual is the vertical distance between an observed.
Graphing data.
Homework: pg. 180 #6, 7 6.) A. B. The scatterplot shows a negative, linear, fairly weak relationship. C. long-lived territorial species.
P.O.D. #36 Find the volume of each solid.
Line of Best Fit Linear Models and Correlation
Homework- maintenance sheet 25 via study island
Scatter Plots Math 8. Unit 5.
Writing Linear Equations from Graphs & Tables
Hands On Quadratic Equation Activity
Lesson – Teacher Notes Standard:
Lesson – Teacher Notes Standard:
Scatter Plots Learning Goals
Presentation transcript:

Samantha Pozzulo Coordinating Seminar Dr. Fothergill Barbie Bungee Samantha Pozzulo Coordinating Seminar Dr. Fothergill

Goals -The student will make predictions and collect data using a rubber band bungee cord and a Barbie doll. -The student will create a scatterplot using the data that was collected to determine a line of best fit.

Goals -The student will compare his/her predictions with the recorded data and discuss the possible variables that could influence the results. -The student will perform this experiment twice to explore the validity of the results.

Objectives -Given the materials necessary, the student will make predictions and record data collected during the Barbie bungee experiment. -Given the line of best fit on the scatterplots, the student will make predictions of how many rubber bands it will take for Barbie to drop 400cm, successfully.

NYS Common Core Standards Grade 8, Stats & Probability CCSS.Math.Content.8.SP.A.1 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association. CCSS.Math.Content.8.SP.A.2 Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line. CCSS.Math.Content.8.SP.A.3 Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height.

Materials -Rubber Bands (Different Sizes and Types) -Barbie Doll -Measuring Tape -Prediction/ Data Chart -Scatterplot Template -Questions Packet

Introduction to the lesson: Knowledge Ask questions: -What do you know about bungee jumping? - Has anyone ever bungee jumped? Bungee Jumping Video: http://www.youtube.com/watch?v=zG22qQydPVQ

Introduction: Knowledge -Why is it not a good idea to lie about your weight and height when bungee jumping? -Does the length of the cord and size of the person matter when bungee jumping?

Infer and Discuss: Comprehension In this lesson, we will be creating a bungee cord out of rubber bands that will safely allow Barbie to fall 200cm without getting hurt. Talk with a friend: How many rubber bands do you think you would have to tie together for Barbie to have a safe trip? She must come as close to the ground as possible, without touching the floor.

Procedure: Application - Create a slipknot -Wrap the open loop around Barbie’s feet -Attach another rubber band to the one on Barbie’s feet.

Procedure: Application - Measure a height of 200cm and label it with a piece of tape. - Make a prediction of how many centimeters Barbie will drop with 2 rubber bands, and write it in the chart.

Procedure: Application - One student will drop the Barbie, while the other two students observe the furthest point on the wall that Barbie reached. (Active) -Measure the distance fallen in centimeters for a precise answer. -Students will record this in their data chart next to their prediction for each trial, and then convert centimeters to inches.

Procedure: Application - Repeat this process until Barbie has come as close as possible to the ground, without touching the floor. - The data chart has increments of 2 for each trial of rubber bands. (Make predictions and collect data for how many centimeters she fell after 2 rubber bands, 4, 6, 8, etc.)

Procedure: Application Number of rubber bands Prediction of Barbie’s fall (Centimeters) X-Variable Actual distance of Barbie’s fall Y-Variable Convert the actual distance of Barbie’s fall to inches (1 inch=2.54 cm) 2 4 6 8 10 12 14

Procedure: Application - After completing the chart for each pair of rubber bands, the students will construct a scatterplot using the collected data (Converted to inches).

Procedure: Analysis - When they have finished their scatterplot, the students will draw a line of best fit to distinguish the relationship between the number of rubber bands used and the distances Barbie dropped (In inches).

Procedure: Analysis -What is the equation for your line of best fit? (Convert to inches) http://illuminations.nctm.org/Activity.aspx?id=4186

Procedure: Analysis -What is the slope of your equation, and what does it represent in this context? (Slope- # of rubber bands increases by two) -What is the y-intercept of your equation, and what does it represent in this context? ?(x=0)?

Results: Synthesis -Based on your data, what would you predict is the maximum number of rubber bands Barbie needs to safely jump 400 cm? Using your Line of Best Fit: ________________________________ Are your predictions reliable? Justify your answer. Be sure to consider your methods of collecting, recording, and plotting data.

Results: Synthesis - What variables impacted the results of this experiment? - How would you improve this experiment? - What can we do to make this a more reliable experiment? (Rubber band size)

Next Steps: Evaluation - The students will conduct the experiment again, record their findings, and compare/contrast these results with the results from the previous trial. - Did the data change? Did the distance fluctuate for each pair of rubber bands? - Is this an accurate and valid experiment? - What are the flaws of this activity?

Conclusion: As the number of rubber bands increase, so does the distance that Barbie drops. The students should realize that the different: rubber bands, Barbie dolls, observers, and releasers can alter the results for this experiment. The students predicted, observed, and recorded data to investigate different variables and their interdependency.

Resources -Zordak, Samuel E. "Barbie Bungee." Barbie Bungee. NCTM, n.d. Web. 29 Apr. 2014. Direct Link: http://illuminations.nctm.org/Lesson.aspx?id=2157