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Curated OER
Gathering Statistics for Research
Students gather statistics to include in their research. In this statistics lesson, students investigate how to incorporate statistics into research and other readings besides math. They collect data based on other topics, analyze the...
Utah Education Network (UEN)
Ch 7: Probability & Statistics
MAD about statistics? In the seventh chapter of an eight-part seventh-grade workbook series, learners develop probability models and use statistics to draw inferences. In addition, learners play games and conduct experiments to determine...
Curated OER
Energy Conservation Lesson 1: Fossil Fuels and the Ticking Clock
Students explore energy production by participating in a class discussion. In this renewable energy lesson, students discuss the differences between solar, coal, wind and fossil fuel energy sources and why some are better for the...
Curated OER
Interpreting Data and Statistics
Students define terms and analyze data. In this statistics lesson, students plot their data using bar and line graphs. They analyze their data after they graph it and apply the results to the Great Depression.
Oddrobo Software
King of Math: Full Game
All hail the king! Young mathematicians put their skills to the test as they strive to become the king of math.
Curated OER
Data Displays with Excel
Learners collect and analyze data. For this statistics lesson, students display their data using excel. They plot the data on a coordinate plane and draw conclusion from their data.
American Statistical Association
Tell it Like it is!
Scholars apply prior knowledge of statistics to write a conclusion. They summarize using correct academic language and tell the story of the data.
Kentucky Adult Education
Probability Lesson Plan
Roll the dice with this multimedia math lesson plan on probability. After first viewing a series of three short videos explaining probability, independent events, and dependent events, young mathematicians complete a...
Curated OER
Statistics with State Names
Students analyze the number of times each letter in the alphabet is used in the names of the states. In this statistics lesson, students create a stem and leaf plot, box and whisker plot and a histogram to analyze their data.
Curated OER
Flicking Football Fun
Young mathematicians fold and flick their way to a deeper understanding of statistics with a fun, hands-on math unit. Over the course of four lessons, students use paper footballs to generate data as they learn how to create line...
Curated OER
Raisin the Statistical Roof
Use a box of raisins to help introduce the concept of data analysis. Learners collect, analyze and display their data using a variety of methods. The included worksheet takes them through a step-by-step analysis process and graphing.
Curated OER
Data Collection and Graphing
Students collect data and graph it on a coordinate plane and analyze it. In this statistics lesson, students display their data collection using a graph. They determine which central tendency will work best.
Curated OER
Interpreting Data and Statistics
Students define random sample and complete surveys. In this algebra activity, students create surveys and define the way people analyze these results. They discuss random sample as it relates to the Great Depression and come up with...
University of Utah
Statistics-Investigate Patterns of Association in Bivariate Data
Young mathematicians construct and analyze patterns of association in bivariate data using scatter plots and linear models. The sixth chapter of a 10-part eighth grade workbook series then prompts class members to construct and...
Curated OER
Infusing Equity Gender into the Classroom
Students investigate if gender makes a difference in the classroom. In this statistics lesson, students collect data on whether equity by gender in the classroom makes students more successful.
Curated OER
Data Analysis: Infiltration Rate and Composition of Concrete
Students collect and graph data. In this statistics lesson, students analyze data using a spreadsheet program. They display their data effectively and analyze it.
Curated OER
Probability and Expected Value
Students collect data and analyze it. In this statistics instructional activity, students make predictions using different outcomes of trials.
Curated OER
Data and Scientific Graphs
Students conduct experiments and graph their data. For this statistics lesson, students collect data and graph it on a coordinate plane. They analyze the data looking for patterns and they discuss their findings with the class.
Curated OER
Venn Diagrams
Learners collect and display data in a Venn Diagram. In this statistics lesson, students collect data, compare the data and make inferences about their data. They use the Venn diagrams to identify what the data have in common and how...
Curated OER
Baseball Math
Young scholars collect data on baseball plays. In this statistics activity, students graph their data and make predictions based on their observation. They calculate what the probability is that a favorable outcome would happen.
Curated OER
Matchstick Math: Using Manipulatives to Model Linear, Quadratic, and Exponential Functions
Playing with matches (unlit, of course) becomes an engaging learning experience in this fun instructional unit. Teach pupils how to apply properties of exponential functions to solve problems. They differentiate between quadratic and...
Curated OER
What's Your Shoe Size? Linear Regression with MS Excel
Learners collect and analyze data. In this statistics lesson, pupils create a liner model of their data and analyze it using central tendencies. They find the linear regression using a spreadsheet.
Curated OER
Transforming Univariate Data
Learners analyze plotted data in this statistics lesson. They differentiate between skewed and normal data. They also explore and interconnect exponential growth and decay as it relates to the data.
Curated OER
Investigating Correlation
High schoolers investigate different types of correlation in this statistics lesson. They identify positive, negative and no correlation as it relates to their data. They then find the line of best fit for the plotted data.