Statistics
Free lessons and practice worksheets for statistics.
Advanced Statistics
Advanced statistics transforms raw data into meaningful insights that students encounter daily, from sports analytics to weather forecasting. CCSS.6.SP and LK20.10 standards emphasize measures of spread like quartiles, interquartile range, and standard deviation. These concepts help sixth-graders and tenth-graders analyze data variability with precision.
3 min readComparing Data Sets
When students compare test scores between 2 classes or analyze which basketball player scores more consistently, they're mastering data comparison skills. This fundamental concept in CCSS.6.SP and LK20.10 teaches students to look beyond single numbers and examine both central tendency and spread.
3 min readMean, Median & Mode
Students analyzing sports scores, test results, and survey data need mastery of mean, median, and mode to interpret real-world statistics. These three measures of central tendency appear throughout CCSS.6.SP standards and form the foundation for advanced statistical reasoning. Understanding when to use each measure prevents common data interpretation errors in mathematics and science courses.
3 min readRepresenting Data
Data representation transforms raw numbers into visual stories that students can instantly understand. A simple bar chart showing 25 pizza votes versus 8 salad votes communicates preference patterns more clearly than scanning through 33 individual responses.
3 min readSpreadsheet Calculations
Spreadsheet calculations transform raw data into meaningful insights, making them essential for CCSS.6.SP and LK20.10 statistics standards. When students learn to reference cells like A1 and B3, then build formulas starting with =, they develop computational thinking skills that extend far beyond math class.
3 min readStatistical Investigation
Statistical investigation forms the backbone of data literacy, teaching students to ask meaningful questions and gather evidence systematically. Under CCSS 6.SP and LK20 Trinn 10 standards, students progress from identifying statistical questions to recognizing sampling bias in real populations.
3 min read