Curated OER
Lines of Fit
Students solve equations dealing with best fit lines. In this algebra lesson, students solve problems by analyzing data from a scatterplot, and define it as positive, negative or no correlation. They classify slopes the same way as...
Curated OER
Exploring Diameter and Circumference
Learn how to identify the diameter and circumference of a circle. Then, collect data on a circle and relate it to the diameter and circumference of a circle. Last, plot data and find the line of best fit.
Curated OER
Geometric Sequences and Series
Learners find common ratios of geometric sequences on a spreadsheet. Using this data, they create scatter plots of the sequences to determine how each curve is related to the value of the common ratio. They will consider whether series...
Curated OER
Modeling Drug Assimilation in the Human Body
Students investigate the accumulation of drugs in the body. In this algebra lesson, students collect data on drug retention and assimilation. They use their data to predict the behavior and effects of drugs.
Radford University
Marketing Mayhem: Advertising for Adolescents
You'll be sold on using the resource. Future consumers first conduct a sample survey on marketing strategies. They then consider how mass media influences their age groups and create presentations to display their findings.
College Board
2005 AP® Statistics Free-Response Questions Form B
Here's another great way to learn from the past. Released free-response questions provide a look into how concepts measured on the 2005 AP® Statistics Exam on Form B. Teachers and pupils review questions that cover concepts such as...
College Board
2000 AP® Statistics Free-Response Questions
A little communication goes a long way. Free-response questions from the 2000 AP® Statistics exam require pupils to communicate their results—not just perform calculations. The questions ask individuals to explain, discuss, and interpret...
Curated OER
Line of Best Fit
Students calculate the equation of the line of best fit. In this statistics lesson plan, students create scatter plots and find the line of best fit going through their data. They make predictions and draw conclusions.
Curated OER
Little Red Corvette
Students investigate the acceleration of a car. In this acceleration of a car lesson plan, students make a scatter plot of corvette acceleration data. Students find a model to fit the data by taking the integral of the curve...
Curated OER
Modeling Population Growth
Learners collect data on population growth. In this statistics lesson, students graph their data and make predictions. They find the linear regression and the best fit line.
Curated OER
Precalculus: Function Models for Real-Life Situations
Learners use calculators and "by hand" techniques to compare models of real-life data situations, determine the best model for a situation, and use their models to make predictions.
Curated OER
Algebra II: Quadratic Functions
Students collect and organize data, make a scatterplot, fit a curve to the appropriate parent function, and interpret the results. Students translate among the various representations of the quadratic function, formulate equations, use a...
Curated OER
Black Out
Students collect and analyze data. In this statistics lesson, students plot their data on a coordinate plane and find the line of best fit. They calculate the linear regression using the data.
Curated OER
Finding a Line of Best Fit
Pupils engage in the practice of creating a scatter plot with the data obtained from measuring different resting heart rates. The data is used to create the table that is translated into a graph. The lesson plan gives instructions for...
Curated OER
Histograms and Statistical Graphics
In this statistics worksheet, young scholars solve 6 data problems. They construct a histogram of given data, they create a frequency polygon, and a stem and leaf diagram. Students create a dot plot and a pie chart for given data sets....
Curated OER
The Closer I Get To You
Pupils explore the law of reflection. Through experimentation and problem solving, they collect and analyze data pertaining to reflection. The data is plotted on a graph and formulas for calculating the x and y values are evaluated.
Curated OER
More of U.S.
Explore graphical representation of a real-life data set and determine the exponential regression model for the data in your classroom. High schoolers also compare the estimated value to the given value by determining the percent error.
Curated OER
Conductivity of salt Solutions
Learners investigate the concentration level of solutions. In this math/science instructional activity, students identify three different ionic compounds. They predict the conductivity of each using their collected data.
Curated OER
Quadratic Modeling Of Canada's Baby Boom
High schoolers model quadratic equations. In this algebra lesson, students are given data to graph using a function. They investigate vertex and transformation of quadratic functions.
Curated OER
Modelling Periodic Phenomena
In this Pre-calculus/Trigonometry worksheet, students determine the trigonometric function that best models the given data. The eight page worksheet contains explanation, examples, and twenty-one problems. Answers are not included.
Curated OER
Algebra 2 - Linear Programming
Pupils read real world problems, determine the variables, and set up the function using algebraic statements. After entering data into the graphing calculator, they display information in the form of graphs and scatter plots. Students...
Curated OER
Completing University
Students analyze the pros and cons of completing a 4 year school. In this statistics lesson, students complete surveys and use E-STAT to graph their data. They learn to plot and build diagrams.
Curated OER
Line Best Fit
Students identify the line of best fit. In this statistics lesson, students analyze graphs and plots to identify positive, negative or no correlation. They find the line of best fit for different scatter plots.
Texas Instruments
Say What You Mean!
Young scholars analyze data and identify the mean. In this probability lesson, students log data in the TI and construct scatter plots from the data. They identify properties of a scatterplot.