In this module, students reconnect with and deepen their understanding of statistics and probability concepts first introduced in Grades 6, 7, and 8. Students develop a set of tools for understanding and interpreting variability in data, and begin to make more informed decisions from data. They work with data distributions of various shapes, centers, and spreads. Students build on their experience with bivariate quantitative data from Grade 8. This module sets the stage for more extensive work with sampling and inference in later grades.

Find the rest of the EngageNY Mathematics resources at https://archive.org/details/engageny-mathematics.

In this video segment from TV411, figure skaters compute their average daily practice time.

This website from the BBC is a great introduction to averages (mean, median, and mode) and will take you through some interactive learning activities. A practice test and worksheet are also provided.

A tutorial to understand the three central tendencies and how to find them, as well as the standard deviation of values. Offers a discussion and practice problems.

Finding measures of central tendency will be applied to the different graphs throughout this unit.

Srudents connect mean, median, mode and range to real life. It will allow students to make sense of problems by using previously taught strategies.

The students will be working with mean and learning about variability. They will be making connections to real life applications to help assist them in making a connection to mean absolute deviation.

Understanding how to interpret data by its shape, spread, and center helps students to understand statistics.

Students act as R&D entrepreneurs, learning ways to research variables affecting the market of their proposed (hypothetical) products. They learn how to obtain numeric data using a variety of Internet tools and resources, sort and analyze the data using Excel and other software, and discover patterns and relationships that influence and guide decisions related to launching their products. First, student pairs research and collect pertinent consumer data, importing the data into spreadsheets. Then they clean, organize, chart and analyze the data to inform their product production and marketing plans. They calculate related statistics and gain proficiency in obtaining and finding relationships between variables, which is important in the work of engineers as well as for general technical literacy and decision-making. They summarize their work by suggesting product launch strategies and reporting their findings and conclusions in class presentations. A finding data tips handout, project/presentation grading rubric and alternative self-guided activity worksheet are provided. This activity is ideal for a high school statistics class.

Students learn a simple technique for quantifying the amount of photosynthesis that occurs in a given period of time, using a common water plant (Elodea). They can use this technique to compare the amounts of photosynthesis that occur under conditions of low and high light levels. Before they begin the experiment, however, students must come up with a well-worded hypothesis to be tested. After running the experiment, students pool their data to get a large sample size, determine the measures of central tendency of the class data, and then graph and interpret the results.

At the end of this lesson, students will be able to recognize and apply the concepts of mean, median, and mode in real-life problems.

Very complete explanation of mean, standard deviation, etc. including an online calcluator for these statistics.

Students use U.S. Geological Survey (USGS) real-time, real-world seismic data from around the planet to identify where earthquakes occur and look for trends in earthquake activity. They explore where and why earthquakes occur, learning about faults and how they influence earthquakes. Looking at the interactive maps and the data, students use Microsoft® Excel® to conduct detailed analysis of the most-recent 25 earthquakes; they calculate mean, median, mode of the data set, as well as identify the minimum and maximum magnitudes. Students compare their predictions with the physical data, and look for trends to and patterns in the data. A worksheet serves as a student guide for the activity.

This lesson will explain expected value. It is 1 of 3 in the series titled "Expected Value." [6:12]

This lesson will explain expected value. It is 2 of 3 in the series titled "Expected Value." [3:18]

This lesson will explain expected value. It is 3 of 3 in the series titled "Expected Value." [8:00]

Students explore the concept of the mean as they examine and compare scores for various sports events.

In this activity, students compute statistical measures like the mean, standard deviation, and variance of the data set. They understand how measures of variability can be interpreted.

Brush up on your math skills relating to mean, median, mode, and range then try some practice problems to test your understanding.