CCSS.Math.Content.HSS.S.ID.5 Is Bigger Always Better?

blowing a bubble

Understanding correlation and causality is difficult at times. In Statistics, students are asked to understand what it means for data to be correlated. This usually involves looking at tables and graphs and making guesses, all of which can be extremely boring for student. They can’t engage with a graph or a table, they need something to pull them in and grab their attention. Vernier Software & Technology products are an intuitive and interactive way to get students engaged in Mathematics. The Vernier Anemometer shows students that Mathematics is more than a class in school, its everywhere in life.

Anemometer

The Vernier Anemometer is a small handheld probe that plugs into a TI Calculator or a computer that measures wind speed. It can measure speeds of 1 to 30 meters per second, or 1 to 67 miles per hour.This product can be used with a computer program called Logger Pro 3 to record finding and make graphs to represent data. Practical uses of this device are countless. Students can use this device to study wind patterns over a period of time to find the average wind speed during the week, use it to measure who runs the fastest based on how fast they can have the Anemometer read, or use it to find out if there is a pattern to wind speeds during the day, among other ideas.

One specific example is for students to measure who can blow the fastest and use their findings to study correlation. This type of project can be done in groups or as a whole class. In either situation, we would first ask the student to try their best to blow as hard as they can to see who can blow the hardest. Give each students a few tries and then collect the data from each person for the whole class to use (the collection can be done on  the calculator or using the Logger Pro 3 program for the computer). After a winner is decided, a teacher can ask the class is they think they know why certain people did better than others. Have them pick 4 to 6 factors that could explain why certain people blew harder. These factors could be: height, age, weight, shoe size, whether or not they play sports, or gender. Regardless of the factors they choose, have the students gather information from the rest of their classmates related to the factors. Students can then take the information and create tables and graphs to organize the information. Using the graphs and tables students can then determine if they think the data shows a correlation or an association between the factor and how hard the student blew. Then students can use the TI Calculators to perform linear regressions to verify their reasoning.

In this specific lesson, the target standard in the Common Core State Standards for High School Statistics is CCSS.Math.Content.HSS.S.ID.5 “Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.” Students are able to personally collect concrete data to compare and, using Math, determine possible associations or trends in data.

This type of lesson could be modified to align with any of the below standards, including: CCSS.Math.Content.HSS.S.ID.6.a “Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.”, CCSS.Math.Content.HSS.S.ID.6.b “Informally assess the fit of a function by plotting and analyzing residuals.”, or CCSS.Math.Content.HSS.S.ID.6.c “Fit a linear function for a scatter plot that suggests a linear association.”

Vernier Logo

The benefit of using this Vernier instrument or any other Vernier instruments is that student can collect and work with data that is personal to them. The number aren’t just number in a book, those numbers are the activity and the fun they had collecting them. These numbers are from real life and add an element of concreteness to something that is abstract like Math. So interpreting data becomes personal. It comes to life. Students will take a positive experience away from this Math assignment that can shape their perception and understanding of the important and usefulness of Math.

The Vernier Anemometer can be found for $89.00 along with information here: http://www.vernier.com/products/sensors/anm-bta/

The Logger Pro 3 program can be found for $249.00 along with information and deals and incentives for schools here: http://www.vernier.com/products/software/lp/

More information about Vernier products and lessons with lesson plans can be found here: http://www.vernier.com/

Example worksheet: Full of Hot Air Worksheet

CCSS.Math.Content.HSS.ID.B.6 Making Linear Regressions Relevant in the Classroom

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A question that teachers are constantly asking themselves is how to make math topics relevant in the eyes of their students. And since it seems that the higher levels of math being taught, the less of an issue this seems to be, this issue of relevancy is extremely common in Algebra I and Algebra II classes. Many students have a difficult time relating variables, equations, and algebraic concepts to anything they could ever have to do in the real world. So the question remains, what can you as an educator do to ensure that students see the relevancy of mathematics in the world around them, and how can you all but guarantee that your students can connect each unit of content in Algebra I & II to real world scenarios?

 

1000px-Linear_regression.svgThe following lesson plan is an example of how one might use real life examples to model mathematical concepts and keep students engaged throughout the entire lesson. This lesson designed to cover scatter plots, positive and negative correlations, and linear regressions uses TI-84 calculators and a Document Camera to model how to find linear regression equations as well as finding correlation coefficients. The following is just one example of how TI-84 graphing calculator can be used to engage students and help them relate algebraic concepts to the real world.

 

MA325_ModelingLP

MA325_ModelingWS

HSS.ID.A.1 Turn your Students’ into Mathamagicians

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Infomercial voice:

Have ever wished your students would jump up from their seats after accomplishing a task and say, “I am a genius?” Have you ever thought while teaching a student, “how can I get him to to understand? I have tried everything.” Well then. I have something for you, but first ask yourself, “what can I do to make my lessons more appealing?” Well ask and you shall receive. Introducing, GraCalc. It is an innovating and captivating calculator. How boring, you say? No Sir. This calculator is packed full of exciting ways to crank out some awesome computation. Not only does its function keys feel glassy and seamless, but you can even turn on clicking noises. ‘Click.’ ‘Click.’ ‘Click.’ This application will not leave you disappointed because with every feature comes more features! Like the Equations button.IMG_0222 Pushing this opens a new menu that has more options in the upper right hand corner called Mode, and just wait there’s more. If you push the Mode button it opens? Yep, you guessed it, another menu with more feature! IMG_0223This time click the Statistics option and hear that ‘click’ sound play your favorite tune. ‘Click.’ Now don’t go away, if you place your order today we will throw in,  for absolutely free, that’s right, absolutely free data set entry into a spread sheet. Just enter your data set. Then here comes my favorite part, are your ready? Click the Histogram button at the bottom of the screen and ‘presto’, your histogram has been summoned. Turn every student in your class into a Mathamagician. That’s right! A Mathamagicaian, and bring your lessons to life. And if you order your copy of GraCalc between now and Armageddon, I’ll cut the cost in HALF. That’s right, In half. Not good enough, you say? Well finish reading this blog and I let you have the app for my famous low, low, super duper,  can’t get a better deal anywhere price of… are your ready? FREE, Yes I said it, Freeeeeeeeeeeeeeeeeeeeeeee.

Obviously, if your still reading this blog I caught some kind of interest in you. This application that is officially called ‘Free GraCalc’ is created by William Jockusch and has many useful features. However, for the purpose of this blog I choose to talk about the statistics side of the application. Particularly, if you want to help your students understand that any data set can be put into a histogram that then can be used to interpret the data. For example, I entered a few low random numbers into the spread sheet and had the application build me a histogram. IMG_0221
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From this histogram we can make a few conclusions, one being that the entry at 20 most likely is an outlier because it is fairly far from the rest of the data. Simply put, this application puts powerful tools into the hands of your students and can truly bring your mathematics to life. It is a free application on the iPhone as well as on the iPad. I included with this post a full lesson plan to help show how a teacher could include this application as both a learning exercise on what histograms are and the information we can gather from them. Also included in my lesson plan through the class activity will be a quick easy to follow application tutorial to help introduce the students to one of the many feature this powerful app has to offer. So go fourth and teach with style. Turn every one of your students into Mathamagicians!

Common Core Standard used in lesson plan with technology in mind:

CCSS.MATH.CONTENT.HSS.ID.A.1
Represent data with plots on the real number line (dot plots, histograms, and box plots).

Lesson Plan:

Lesson Plan Histograms using Technology

CCSS.MATH.CONTENT.HSS.ID.A.1: Using Alcula to create a Box and Whisker Plots

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Attached is an article about Alcula, a website that can be used to create box and whisker plots. This website is an easy, accessible tool that empowers students to understand box and whisker plots on a deeper level. Students can check their mathematical understanding by using Alcula to verify their answers for the 5 number summary of a given data set and the box and whisker plots they have created by hand.

Teachers can use this website during an entry task and have students determine the 5 number summary for a given box and whisker plot. Teachers can have their students use this website individually or in small groups. Teachers can also use Alcula to give the students a visual representation of test results and grades. Alcula can be used on a computer, smart phone, or tablet that has internet access.

Using Alcula in the Classroom Article

ID. A Box and Whisker Plot Learning Progression

Box and whisker plots can be fun to learn while being interactive. This learning progression covers data representation with the five number summary, compare center and spread of different data, look at the effect of outliers, and recognize possible trends in data.

The Common Core State Standards aligned to this learning progression are:

CCSS.MATH.CONTENT.HSS.ID.A.1: Represent data with plots on the real number line (dot plots, histograms, and box plots).

CCSS.MATH.CONTENT.HSS.ID.A.2: Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.

CCSS.MATH.CONTENT.HSS.ID.A.3: Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

CCSS.MATH.CONTENT.HSS.ID.B.5: Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.

This learning progression includes assessments that help evaluate the students’ progress. There are activities that involve group work, pair work, and individual work.

Here is the learning progression and lesson plan:

Allie Hernandez Learning progression

Reaction Time Lesson Plan

HSS.ID.A.1,2, and3! Box-and-Whiskers Plot

As many others, when I first heard of Box-and-whiskers plot, the first thing that came to mind was…

box

 

pluswhiskersequal

boxplotcat

question mark

 

 

 

But what does this have to do with math?! Through this learning progression we will be addressing this misconception and teaching students what a box-and-whisker plot really is and how it can be used to describe data. Students will begin by working with the measures of central tendencies to describe the center of a set of data. As students begin to form an understanding of these measures of central tendencies and how they allow you to interpret data students will be introduced to Tukey’s Five Number Summary and the box-and-whisker plot. Students will then learn how to use the box plot to interpret data, compare different data sets (shape, center, spread), and determine if there are any outliers within data sets

The Common Core Standards that are aligned to this progression are HSS.ID.A.1, HSS.ID.A.2, and HSS.ID.A.3. The following standards for mathematical practice are also aligned to this learning progression: MP3: Construct viable arguments and critique the reasoning of others, MP6: Attend to precision, and MP7: Look for and make use of structure.

Learning progression Bettermath

Statistics Lesson Plan PDF

S.ID-Teaching Linear Regression Using Graphing Calculators!

                            TV 

TV Watching vs. Physical Activity 

 

 

Running

 

Do people who watch a lot of TV not do much physical activity?

Check out this relationship in your classroom!

Brief Lesson Explanation:

In this lesson students will learn to how to create linear models for bi-variant data using a graphing calculator. The students have been learning about linear equations, what consists of linear equations, such as slope and y-intercept, as well as learning about bivariate data, correlation, correlation coefficient, and what it means to find the regression model, specifically just linear regression or “line of best fit.” Students are able to find the line of best fit given data by hand. Following this lesson student will have the opportunity to use classroom gathered data and learn how to find correlation and regression models using a graphing calculator. Students have worked with finding linear regression models with bivariate data, but have not had the opportunity to work with technology to enhance their learning.

The graphing calculator will help with the “difficulty” of finding the correlation coefficient and will help students check if they have indeed found the correct line of regression. The graphing calculator also helps students to see a visual representation of the data. Since it takes less time to find the correlation and linear regression with a calculator, students are able to take more time into explain their knowledge of the correlation coefficient, and how their correlation support the regression model they chose. Students are also able to begin understanding of what the slope and y-intercept of their data truly means and its significance to the data. Students will also begin to make connections about how the regression model can be used to make further predictions on their data.

Integrating Technology in the Mathematic Curriculum:

This lesson helps students meet the modeling Common Core Standard S.ID.7: Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data. * (Modeling Standard), because this lesson helps students to use data from their own classroom (raw data) to find the best regression model, and then use their prior knowledge of slope and y-intercept to explain how these two concepts shape the data, their significance to the data, and then make predictions using the regression model. Using the graphing calculator to find the accurate regression model that best fits the data, by using the correlation coefficient to justify their answer, students are deepening their understanding on how the regression model is used to find a relationship between the data and is also used to make further predictions pertaining to the data. Students are also understanding that slope is really the “rate of change” between two points and that the y-intercept is the “starting point” or “basis” of the function.

Participation in Community of Mathematics Educators:

Yes, it is important for students to know how to find regression models by hand, but by being able to use a graphing calculator, students are presenting the knowledge of using technology to advance their learning. By learning this concept, students can show that they can collect data, find the regression model that best fits the data and fully support regression model fit. This lesson is a great way to help students strengthen their knowledge of the importance of regression models and how regression models help to explain the relationship between data by correlation (if applicable) and also helps to make further predictions pertaining to the data. This lesson also allows students to use technology, a graphing calculator, to help them to input a lot of data more quickly and make an accurate scatter plot. Then, students can make several generalizations using the data. For example, with a graphing calculator students have the opportunity to check various regression models one right after the other, and use their knowledge about the correlation coefficient, r^2, to explain which regression model is actually correct. By working with data the students have also gathered on their own, and after finding the correct regression model, students are able to take their classroom data to explain how the parts of the regression model (in this lesson’s case linear regression) and explain the real-world meaning of slope and y-intercept.

Ability to Contribute to Program and School Improvement:

This lesson allow the teacher to teach in various ways: through direct instruction, video enhancement, worksheet activity, peer interaction, individual student work, and a class discussion. By allowing various teaching methods, this lesson is a great way to help enhance students’ learning about regression models (in this case, linear regression).

Planning for Mathematical Instruction:

This lesson meets the above shown Common Core Standard because the worksheet directly aligns with standard statement. This lesson builds upon students’ prior knowledge of linear equations, correlation coefficients, scatter plots, and regression models. The learning targets guides students into learning about the “real-world” interpretation of their data and how their regression model can explain the rate that the data is either increasing or decreasing (if applicable) and its starting point (y-intercept) and its value to the data. After inserting their data into the graphing calculator, graphing their scatter point, and checking various regression models against their data, students are making clear and consistent connections on what is truly the “best fit model” for their classroom based data. Proving that students truly understand the importance of the correlation coefficient, , and its value into determining which regression model truly explains the data.

Planning to Support Varied Student Learning Needs:

This lesson support varied student learning needs by offering the student various to learn the concept.  First, the lesson provides the teacher a teacher’s resource packet that includes: definitions and explanations for correlation coefficient and regression line, has steps for how to solve for the correlation coefficient and linear regression by hand, has three videos the teacher can use to teach the students how to use their graphing calculator to insert data, create a scatter plot, find the regression model, and graph the regression model along with the regression model. The lesson allows includes a step-by-step visual representation of how to use the graphing calculator for students in the student packet that students can use to follow along when teacher (or video) is instructing students how to use graphing calculator or it also serves as a resource for the students to use after teacher gives direct instruction. The graphing calculator allows students to visually see their data, to compare various types of regression models, and use their knowledge of the correlation coefficient,  to explain which regression model is the “best fit.” Completing this activity by hand would be more time consuming and students would need to know how to calculate various types of regression models also by hand, not only linear regression. Also, during this lesson students also have the opportunity to work individually, in pairs, on their worksheet, and as a class, so students have various ways that the information they are learned can be expressed. Their knowledge will be assessed through peer interaction when written scatter plots are created, informally when their graphing scatter plots are created and they verify their scatter plot with the teacher’s scatter plot shown on the overhead or with peers, and again informally with a partner when the “correct” regression model is chosen and justified on their worksheet. Then, student will be assessed formally through the grading of the worksheet and through the class discussion at the end of the lesson.

Using Knowledge of Students to Inform Teaching and Learning:

By knowing your students, a teacher can prepare for common mistakes and misconceptions that may occur during the lesson. This activity will be beneficial to students because it offers them the opportunity to take data, from their own classroom, and find the regression model which best fits. Students can then in the next lesson, pick two bivariate relations which interests them and find their own regression model, explain the regression model type, how they know their regression model is correct, what the regression model states about the relationship between the data (if applicable), and what future remarks could be made pertaining to this data. By being able to this very important mathematical concept, students can then find relationships between any relatable data which can be used in their future careers.

Planning Assessment to Monitor and Support Student Learning:

The teacher maintains rapport and respect with the students by making sure that students are being able to follow along with the lesson and answering questions referring to the regression model worksheet or technology questions. The teacher also retains rapport with the students by creating a learning environment which allows the students to learn in various ways: through teacher (or video) direct instruction on using the graphing calculator, and student support on the use of technology on the student worksheet: “References” for using the graphing calculator. By having the ability to work both individually and in pairs, students are expressing their varied perspective and ideas on the meaning of the slope, y-intercept, justifying their regression model, and making further predictions. This lesson promotes mutual respect among students because it offers students the opportunity to correct and interact with each other using mathematical support to build and enhance their knowledge. Therefore, this lesson is allows for varied assessment which monitors students’ learning through teacher walking around and assisting thought the lesson, students interacting with their peers, and by completing the attached worksheet.

Math-325-Modeling-Activity-Lesson-Plan

Math 325 Modeling Activity-Student Packet

Math 325 Modeling Activity Teacher Guided Class Discussion Questions

Math 325 Modeling Activity Grading Rubric

Math-325-Modeling-Activity-Teacher-Reference-Packet

S.ID-Using a Smart Board for Interactive Warm-Up Activities

Smart BoardThe following article summarizes how to use a Smart Board for fun warm-up activities. A Smart Board is an interactive white board that projects images onto a screen that can be written right on to. The Smart Board is also a touch screen that can have the computer images and online applications. The Whack-A-Mole application used in the article is found on the Smart Exchange website. Teachers can use Whack-A-Mole for review activities, warm-ups, or for participation based group work. It is a great assessment tool to see if the student are meeting the Common Core State Standards and learning objectives. The teacher is able to decide whether to move on to new lessons or to reevaluate old material. It gives the students a change of pace rather than working from the book or worksheets.

Teachers can find many free programs on the Smart Exchange website. The Smart Board comes with colored pens that are used specifically for the technology. The Smart Board has many applications such as  graphing calculators, geometrical models, and a variety of mathematical problems for students to work on. Overall the Smart Board technology creates for easier access to resources allowing more time for learning and pedagogy.

Math 325 Technology Article

Statistics Learning Progression with Modeling

This learning progression is for a statistical modeling standard cluster. This cluster requires students to move through the process of data calculation and normalization of this data. There is also an attached lesson plan that will introduce a modeling lesson that can be used to gain mastery of all standards in this cluster.

Stats Learning Progression

Shoe Modeling Activity