Teachers will engage students in a discussion about what the Census Bureau does and what types of information it collects. Then students will read and annotate informational texts from the Census Bureau and work with a partner to answer questions about the texts. Students will also analyze an infographic of people with different professions to determine how each of those people might use the data gathered by the Census Bureau; students will be asked to use evidence from the infographic text to support their answers. Students will then complete a wireframe (similar to a graphic organizer) for an online resource about how census data can help their own community.

Students will analyze a variety of county-level census data, including on employment, technology, and transportation, in histograms to compare and contrast the shapes of their distributions and to interpret measures of center and spread in context.

This activity provides students with the opportunity to gather data from a controlled experiment setting, interpret their findings and use the data to draw conclusions to solve a mystery.

This activity is a classroom and schoolyard investigation where students collect daily temperature and precipitation readings, weather observations, and weekly phenology reports in a phenology binder and in nature journals. Students then analyze this data and compare to recorded values in the Weatherguide calendar.

Students groups create scientific research posters to professionally present the results of their AQ-IQ research projects, which serves as a conclusion to the unit. (This activity is also suitable to be conducted independently from its unit—for students to make posters for any type of project they have completed.) First, students critically examine example posters to gain an understanding of what they contain and how they can be made most effective for viewers. Then they are prompted to analyze and interpret their data, including what statistics and plots to use in their posters. Finally, groups are given a guide that aids them in making their posters by suggesting all the key components one would find in any research paper or presentation. This activity is suitable for presenting final project posters to classmates or to a wider audience in a symposium or expo environment. In addition to the poster-making guide, three worksheets, six example posters, a rubric and a post-unit survey are provided.

Students will compare data for two states using comparison symbols and both rounded and unrounded (exact) numbers. Students will then write their own question to compare the data.

In this model eliciting activity (MEA), students are hired by a travel magazine to determine if two airlines that fly into Chicago are equally reliable. They examine data of flight arrival delay times for both airlines flying out of the same city. They first identify measures that can be used to compare the two airlines. Working in small groups, the students decide the size of a meaningful difference between the airlines for each measure and use that information to determine a rule that for deciding if one airline is more reliable than another. The students apply their rule to flight arrival delay data for the two airlines from four additional departure cities, and use the results to write a report to the magazine editor on whether or not one airline is more reliable than the other. This activity can serve as an introduction to ideas of central tendency and variability, and prepares students for formal approaches to comparing groups.

This assignment exposes students to data on economic growth and development as commonly measured by per capita GDP and the Human Development Index (HDI) for 100 countries of the world. There is a big debate about how good an indicator HDI is compared to GDP per capita as a measure of development.

In this example students examine and critique an argument which implies that it is not cost effective to pay for an automobile with increased fuel efficiency. Using a few reasonable assumptions shows that some of the writer's quantitative claims are not very accurate.

Lesson Delivery: Students will collect weather data for a given city/town from a weather website to analyze and create a graph that displays the change in temperature over a time period (one or twq weeks). Useful Sites: Create a Graph: https://nces.ed.gov/nceskids/createagraph/Default.aspx Weather Data: https://www.weather.gov/wrh/climate

This activity asks students to work in a team to develop a set of rules that can be used to program a SPAM filter for a client. The rules are based on characteristics of the subject lines of emails. Students are given samples of SPAM and non-SPAM subject lines to examine. After their rules are ready, they are given a test set of data to use and are asked to come up with a numerical measure to quantify how well their method (model) works. Each team writes a report describing how their model works and how well it performed on the test data. This activity could serve as an introduction to ideas of classification. Alternatively, the activity could be the basis for student introduction to types of statistical errors.

In this example, students are asked to obtain a credit card disclosure statement, identify the various interest rates and payment rules, and keep track of a revolving monthly balance under several payment scenarios. While modeling several months to a year of credit card statements is easily accomplished with pencil, paper, and a basic calculator, this example is also well-suited for analysis with a spreadsheet.

In presentation mode, teachers and students can review the interactive Data and Analysis vocabulary term Slideshow based on the 2017 CS Curriculum Framework glossary of terms for grade 7. Additionally, a quick quiz has been included (Google Forms) for a class assignment or for assessment purposes.

Unplugged activites to help students realize algorithms are simply patterns that we use in our daily lives. 

Students are to research a topic and present the topic by either trying to convince you one way or another about the topic or leaving you to make your choice.

The student will use a table of personal data collected about plugged/unplugged activites and times of rest throughout the period of one week (7 days) to document screen times in comparison to active and restful breaks for a computer science integration and digital balance project.This Part 1 activity uses the data collected in a table to teach students how to copy and paste a table from Docs into Slides, and how to develop a Slideshow Presentation with tables (Part 1) and graphs (Part 2).  Students are given opportunities to collect and analyze data, to enter information into tables and graphs, to develop and share presentations in Slides, as well as summarize and draw conclusions about the data collection, graphing, and results as comparable to their peers, digital categories, or peer groups (Gamers vs YouTubers, Boys vs Girls, etc.).The goal/s of this unit is to help students realize the importance of living a digitally balanced life and to help students develop skills for creating and using digital tables and graphs with an introduction to data collection and analysis.

The student will use previously collected personal and peer data (Part 1: Screen Time Logs) to graph a bar and pie graph in Slides using Sheets to graph the data collected.This is the second part of an intended presentation project for a computer CTE middle school class, but can be edited and adapted for any graphing and/or computer integration lessons about bar and pie graphs and how to make them in Google Sheets using Google Slides.

This assignment asks students to write a data-rich policy brief, showing their ability to apply standard microeconomic models and contextualizing the policy debate with numeric evidence.

This activity allows for students to Identify the quantitative and qualitative benefits of going to collegeUnderstand common costs associated with collegeExplain the difference between sticker price and net price

Students will use multimedia tools to conduct data analysis related to school performances. Students develop data collection tools such as surveys to collect relevant data based on goals such as increasing the number of patrons who attend a performance. Then students can synthesize information to create a project or presentation about goals, data collection, analysis, and suggested changes to the music program to meet stated goals and objectives.