Montana Math MT.CORE.DATA.INT.1

MathGrades 9–12Visualizing, Summarizing, and Interpreting Data

The Standard

Use technology to organize data, including very large data sets, into a useful and manageable structure.

2026 Montana Mathematics Content Standards · Data Reasoning and Probability

Teacher's field guide

What Students Need to Do: Students use a spreadsheet to make a large data file easier to work with. They select useful columns, filter rows, and group records into a table that answers a question.
What Mastery Looks Like: Given a 5,000-row weather file, a student can filter for one city and make a table of average temperature by month. They label the table and use it to find the warmest month.
Common Misconceptions: Students may sort temperatures as text, putting 100 before 20, or treat blank cells as zeros. They may delete rows that look alike without checking whether they record separate observations.
How to Assess It: Give students a 500-row weather sheet with city, month, and temperature columns. Ask them to filter for Helena, make a monthly average temperature table, and circle the warmest month.

Lesson moves

Give pairs a 5,000-row weather CSV and have them filter one city and build a table of monthly average temperatures in Sheets.
Ask, 'Would daily rows or monthly averages better show which season is warmest?' Have students defend their choice using the weather file.
Give groups a messy sales sheet and race to flag duplicate order IDs, blank dates, and sales totals by product.
Give students 5,000 rows of city service reports and have them count pothole complaints by neighborhood to recommend a repair priority.

Free download

$Preview of the MT.CORE.DATA.INT.1 printable worksheet$

A ready-to-print activity worksheet aligned to MT.CORE.DATA.INT.1, with an answer key for the teacher on its own page. No account needed.

PDF, US Letter, prints cleanly in black and white.

Keep exploring

Grade, subject, topic, and the complete standard are prefilled. Create one free, no account needed.