The purpose of this lesson is to activate prior knowledge about interpreting data from charts and graphs.

Included is a YouTube video to support Grade 4 Blended Learning Math - Unit 8.0: Data Analysis - Introduction.

The purpose of this lesson is to read and interpret pictographs and bar graphs using many one-to-one correspondence.

Included is a YouTube video to support Grade 4 Blended Learning Math - Unit 8.1: Data Analysis - Reading Pictographs and Bar Graphs.

The purpose of this lesson is to construct and interpret pictographs involving many one-to-one correspondence to draw conclusions.

Included is a YouTube video to support Grade 4 Blended Learning Math - Unit 8.2: Data Analysis - Drawing Pictographs.

The purpose of this lesson is to construct and interpret bar graphs involving many one-to-one correspondence to draw conclusions.

Included is a YouTube video to support Grade 4 Blended Learning Math - Unit 8.3: Data Analysis - Drawing Bar Graphs.

The purpose of this lesson is to interpret pictographs and bar graphs involving many one-to-one correspondence to draw conclusions.

Included is a YouTube video to support Grade 4 Blended Learning Math - Unit 8.4: Data Analysis - Comparing Pictographs to Bar Graphs.

The purpose of this lesson is to learn how to find the mean and the mode of a data set.

Included is a YouTube video to support Grade 7 Blended Learning Math - Unit 7.1: Data Analysis - Mean and Mode.

The purpose of this lesson is to learn how to find the median and range of a data set.

Included is a YouTube video to support Grade 7 Blended Learning Math - Unit 7.2: Data Analysis - Median and Range.

The purpose of this lesson is to learn about outliers and the affect they have on averages.

Included is a YouTube video to support Grade 7 Blended Learning Math - Unit 7.3: Data Analysis - The Affects of Outliers on Average.

The purpose of this lesson is to learn how to express probabilities of events as ratios, fractions and percents.

Included is a YouTube video to support Grade 7 Blended Learning Math - Unit 7.5: Data Analysis - Different Ways to Express Probability.

Using two different coins and recording the results of both coins helps students dispel this initial misconception as they analyze the graph results. Class discussion should focus on analyzing the data to determine if the game is fair or not. Directions and gameboard are included in the download.

These activities support students as they conceptually develop a sense of how probability affects the outcome of games. Students will find that applying their knowledge of probability will help them win some of the games

Lessons, worksheets, labs, tutorials and resources for students and teachers on evolution and zoology.

Students conduct an experiment to study the acceleration of a mobile Android device. During the experiment, they run an application created with MIT's App Inventor that monitors linear acceleration in one-dimension. Students use an acceleration vs. time equation to construct an approximate velocity vs. time graph. Students will understand the relationship between the object's mass and acceleration and how that relates to the force applied to the object, which is Newton's second law of motion.

Exploring Computer Science is a yearlong course developed around a framework of both computer science content and computational practice. Assignments and instruction are contextualized to be socially relevant and meaningful for diverse students. Units utilize a variety of tools/platforms and culminate with final projects around Human-Computer Interaction, Problem Solving, Web Design (HTML, CSS), Programming (Scratch, Edware), Computing & Data Analysis, and Robotics. ECS is recognized nationally as a preparatory course for AP Computer Science Principles. Watch this video and view this fact sheet for more information.

In this open-ended, hands-on activity that provides practice in engineering data analysis, students are given gait signature metric (GSM) data for known people types (adults and children). Working in teams, they analyze the data and develop models that they believe represent the data. They test their models against similar, but unknown (to the students) data to see how accurate their models are in predicting adult vs. child human subjects given known GSM data. They manipulate and graph data in Excel® to conduct their analyses.

Gingerbread men and gingerbread houses enjoy special popularity around the holidays, but many of these gingerbread activities are timeless and complement literature titles that teachers use at the beginning of school or after the holidays. It's very easy to incorporate mathematics into a study of gingerbread men, and students will enjoy the data collection activities and games while learning math skills and deepening their understanding of important mathematical concepts. Look through these math activities and add some to your repertoire. Consider broadening the gingerbread math to include measurement, games and problem solving this year.

In this group task students collect data and investigate whether there is a relationship between height and hand size among the students in the class.

Students complete an exercise showing logarithmic relationships and examine how to find the linear regression of data that does not seem linear upon initial examination. They relate number of BMD scanners to time.

Use the math templates below to create spinners for probability experiments. The templates are designed to be placed in sheet protectors. Students can then customize the spinner for the particular experiment or game. Tape a transparent spinner over top the spinner template for student use. This method allows teachers to create many different spinners using templates and the plastic transparent spinners that are commercially available. This is especially effective when students are designing their own games as they can customize one of the templates or design their own on the computer. The use of the transparent spinner is more reliable than the pencil and paper clip method often suggested as a cost-saving strategy.

Students experience data collection, analysis and inquiry in this LEGO® MINDSTORMS® NXT -based activity. They measure the position of an oscillating platform using a ultrasonic sensor and perform statistical analysis to determine the mean, mode, median, percent difference and percent error for the collected data.