Data Analysis and Probability

Unit Description:

This is a unit intended to review and enhance concepts of probability by using selected topics from Chapter 10 of the Glencoe Math textbook as well as supplementation to integrate data analysis methods not covered in the textbook.

Big Ideas:

• Probability concepts describe the likelihood of a particular event occurring and/or the fairness of a game.
• Experimental probabilities are better estimates of theoretical probabilities when they are based on larger numbers of trials.
• The Counting Principle is used to determine the total number of outcomes.
• Compound events are affected by whether they are independent or dependent.
• Planning an effective survey involves many components.

Essential Questions:

• How can theoretical and/or experimental probabilities be used to describe your likelihood of winning a game?
• How can you make an unfair game fair?
• How do we determine the total number of outcomes in an experiment?
• How do we calculate the probability of compound events if they are independent? Dependent?
• What are the steps to effectively planning a survey?
• Given the probability of an event, what are the odds in favor and against the event occurring?
• How are statistics used to draw inferences about and compare populations?

Textbook: Glencoe Math Accelerated

• Stem and Leaf Plots
• 10-2: Inner Quartile Range
• 10-3: Mean Absolute Deviation
• Box and Whisker Plots (Creating)
• 10-4: Comparing Populations
• 10-5: Using Sampling to Predict
• 10-7: Theoretical & Experimental Probability
• 10-8: Probability of Compound Events
• Independent & Dependent Events