M111
Modeling with Data: One-Variable Measurement Data
About This Badge
Some questions have a precise answer. For example, “How many years old is my little brother?” Other questions do not lead to a single answer, but to a set of data. In particular, some important questions about the world around us involve one-variable measurement data. This includes questions such as: “How much carbon dioxide is emitted daily in New York City?” or “How many hours do my classmates spend on social media?” By allowing us to analyze such questions, the tools and methods of statistics with one-variable measurement data can help us better understand our world, address the challenges of our time, and advocate for change. In M111 Modeling with One-Variable Measurement Data, you will pose and analyze meaningful statistical questions that yield one-variable measurement data. You will strategically use data displays and quantitative methods to draw conclusions, gain insight into the situation, and generate new questions. As you learn modeling with one-variable measurement data, you will use technology to create and analyze histograms and other visual displays. You will summarize data sets with measures of center, spread, and reason interpreting the meaning of differences in center, shape, and spread. Finally, you will model data with normal distribution and estimate population percentages. The work for this badge builds a foundation for the future study of topics such as modeling with two-variable data, statistical inference, and data science. Modeling with one-variable measurement data is useful for careers in a variety of fields, like statistics, economics, biology, and computer science.
Suggested prerequisites for this badge: understanding of fractions, decimals, and percentages; comfort with using formulas.
XQ has developed a project-based unit aligned to Badge 111 as a part of the XQ Math Algebra 1 course. Find a teacher guide, content overview, and project overview for _Module 1 - Beyond Average_ under Learning Principles and Learning Activities, below. You can access the full folder of module materials HERE.