Welcome!
This module has been made available to you over the Internet. Have you ever stopped to think about how many students have access to this module via the Internet? Where might these students live? Perhaps they live in Maryland, or in another part of the United States, or even in another part of the world! The Internet has a wonderful way of making such a large world a small world (after all).
The state of Maryland has been nicknamed “America in Miniature” because this state contains many of the features you would find across the United States. In its 10,460 square miles of land and water, Maryland has mountains, plains, plateaus, bay, rivers, waterfalls, forests, farms, cities, etc. Maryland is a small world (after all)!
Being an "America in Miniature," Maryland not only shares the splendors of America; it also shares in its troubles. Maryland has had earthquakes, tornados, hurricanes, blizzards, wildfires, etc. The state of Maryland is indeed like a small world (after all).
In this module, you will:
- Study different weather events.
- Collect samples that represent certain populations.
- Make inferences from the data you collect. When you make an inference, you are drawing a conclusion based on evidence and reasoning.
To find other Algebra II modules, go to Common Core Algebra II Statistics and Probability.
Lessons
Simply Surveying
In this lesson, you will focus on the development and collection of data, emphasizing the importance of simple random sampling.
> Go to Lesson: Simply Surveying
Predicting the Future
In this lesson, you will begin to make predictions based off of the sample data collected. You will make conclusions and draw inferences about the samples, comparing the results to the hypotheses you form.
> Go to Lesson: Predicting the Future
Situation Simulated
In this lesson, you will perform simulations. Given a scenario, you will choose the appropriate simulation tool, design the simulation, and conduct the simulation. In addition to performing the simulation, you will analyze the margin of error and parameters involved in the simulations.
> Go to Lesson: Situation Simulated
The Importance of Being Random
In this lesson, you will review different scenarios to determine if the survey, experiment and/or observational study were performed with statistical accuracy. You will also explore published surveys, experiments, and/or observational studies for bias.
> Go to Lesson: The Importance of Being Random
Sneaking Statistics
In this lesson, you will study different mathematical representations and visit different websites to analyze the appropriate use and misuse of statistics.
> Go to Lesson: Sneaking Statistics
