Curated OER
Probability
For this problem solving worksheet, students determine which spinner will most frequently land on a color choice of a color wheel. In this coloring and multiple choice worksheet, students will answer two questions.
Curated OER
Data Analysis, Probability, and Discrete Mathematics
Fourth graders analyze the data in a bar graph, pictograph, line graph, and a chart/table and draw conclusions based on the data. They discuss each type of graph, write questions for each graph, and analyze the data as a class.
Curated OER
Data Analysis and Probability
Students make their own puzzle grid that illustrates the number of sit-ups students in a gym class did in one minute, then they make a histogram for this same data. Then they title their graph and label the scales and axes and graph the...
Curated OER
Candy Problem
In this stats worksheet, students identify how many ways there are to split 25 pieces of candy in between 3 people. There is a very detailed answer key with this problem.
Curated OER
Buying and Selling Stocks
Students access prior knowledge of the stock market and how it works. In this buying and selling stocks instructional activity, students complete worksheets on stocks to understand how the stock market works. Students answer critical...
Curated OER
Balloons: Math with the Montgolfier Balloon
Students discover the history of hot air balloons by watching one ascent. For this physics lesson, students utilize a Montgolfier Hot Air Balloon from an earlier lesson and record the temperature, rate of ascent and the volume....
Curated OER
Math Averages
Students perform different activities to better explain that the word "Average" has 5 different meanings.
EngageNY
Interpreting Expected Value
Investigate expected value as a long-run average. The eighth installment of a 21-part module has scholars rolling pairs of dice to determine the average sum. They find aggregate data by working in groups and interpret expected value as...
EngageNY
Fair Games
What constitutes a fair game? Scholars learn about fair games and analyze some to see if they are fair. They extend this idea to warranties and other contexts.
EngageNY
Ruling Out Chance (part 1)
What are the chances? Teach your classes to answer this question using mathematics. The first part of a three-day lesson on determining significance differences in experimental data prompts learners to analyze the data by...
Project Maths
Fair Trials with Two Dice
Life's not fair, but dice games should be. After playing a two-person game with a pair of dice, scholars investigate the fairness of the game. They consider the number of possible outcomes using the fundamental counting principle and...
EngageNY
Normal Distributions (part 1)
Don't allow your pupils to become outliers! As learners examine normal distributions by calculating z-scores, they compare outcomes by analyzing the z-scores for each.
Math Guy
Algebra 2 Practice Final
Work out to Algebra II with the 50-question activity that practices different types of functions. Multiple choice questions focus on topics such as rational, radical, and logarithmic functions. The resource comes with a printed answer...
EngageNY
Margin of Error When Estimating a Population Proportion (part 2)
Error does not mean something went wrong! Learners complete a problem from beginning to end using concepts developed throughout the last five lessons. They begin with a set of data, determine a population proportion, analyze their result...
EngageNY
Making Fair Decisions
Life's not fair, but decisions can be. The 17th installment of a 21-part module teaches learners about fair decisions. They use simulations to develop strategies to make fair decisions.
Curated OER
Mean, Median, Mode, etc.
Explore the concept of mean, median, and mode with pupils. They estimate the length of a string or the number of M&M's in a jar. Then find the mean, median, and mode of the class' estimates.
Georgia Department of Education
Analytic Geometry Study Guide
Are you looking for a comprehensive review that addresses the Common Core standards for geometry? This is it! Instruction and practice problems built specifically for standards are included. The material includes geometry topics from...
EngageNY
Using Sample Data to Estimate a Population Characteristic
How many of the pupils at your school think selling soda would be a good idea? Show learners how to develop a study to answer questions like these! The instructional activity explores the meaning of a population versus a sample and how...
EngageNY
Bean Counting
Why do I have to do bean counting if I'm not going to become an accountant? The 24th installment of a 35-part module has the class conducting experiments using beans to collect data. Learners use exponential functions to model this...
Curated OER
Real-World Linear Programming
Explore linear programming on a website game. Partners solve a real-world problem by setting up an objective function and a linear inequality. They graph their results on chart paper and also using a calculator before presenting their...
EngageNY
Types of Statistical Studies
All data is not created equal. Scholars examine the different types of studies and learn about the importance of randomization. They explore the meaning of causation and when it can be applied to data.
EngageNY
Sampling Variability in the Sample Proportion (part 1)
Increase your sample and increase your accuracy! Scholars complete an activity that compares sample size to variability in results. Learners realize that the greater the sample size, the smaller the range in the distribution of sample...
EngageNY
Experiments and the Role of Random Assignment
Time to experiment with mathematics! Learners study experimental design and how randomization applies. They emphasize the difference between random selection and random assignment and how both are important to the validation of the...
EngageNY
Margin of Error When Estimating a Population Mean (part 1)
We know that sample data varies — it's time to quantify that variability! After calculating a sample mean, pupils calculate the margin of error. They repeat the process with a greater number of sample means and compare the results.
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