# Welcome!

This website has 6 modules that teach Common Core Algebra ll Statistics and Probability. Each module has interactive lessons, animations that illustrate real-life applications of statistics and probability, resources and a glossary. Explore each module to improve your skills and understanding. Module 1: Linear, Quadratic and Exponential Regression

In this module, you will:

• Analyze real-world data in order to predict future outcomes.
• Build on your prior understanding of linear, exponential and quadratic models to assess the fit of a regression model using residuals and the correlation coefficient.
• Engage in activities that allow you to collect and analyze data, determine a model of best fit, and evaluate the reasonableness of the model selected.
• Learn to distinguish between correlation and causation.

> Go to Module 1: Linear, Quadratic and Exponential Regression Module 2: Regression

In this module, you will:

• Explore key behaviors of other function families, including logarithmic, power, cubic and trigonometric functions.
• Engage in activities that allow you to collect and analyze data, determine a model of best fit, and evaluate the reasonableness of the model selected.

> Go to Module 2: Regression Module 3: Standard Deviation

In this module, you will:

• Explore statistical methods to describe the spread of data.
• Work with two new concepts, mean absolute deviation and standard deviation.
• Learn the difference between the two deviations and when one is more appropriate to use.

> Go to Module 3: Standard Deviation Module 4: Inferences

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.

> Go to Module 4: Inferences Module 5: Probabilities of Compound Events

In this module, you will:

• Build on your prior understanding of probability to include compound events.
• Examine independent and dependent events, and describe events as subsets of a sample space.
• Determine whether events are independent or dependent.
• Apply the Addition Rule and interpret answers in terms of the context provided.
• Construct and interpret two-way tables of data.

> Go to Module 5: Probabilities of Compound Events Module 6: Conditional Probability

In this module, you will:

• Find and interpret probabilities.
• Explore conditional probabilities, and use the conditional probability to determine if two events are independent.
• Work with two-way tables as you analyze conditional probabilities and possible outcomes.
• Use your knowledge of probability to maximize the probability of desired outcomes.

> Go to Module 6: Conditional Probability 