Unit 5- Investigating probability
In this unit students are expected to
7.PR.6.1 – Represent the probability of a chance event as a number between 0 and 1 that expresses the likelihood of the event occurring. Describe that a probability near 0 indicates an unlikely event, a probability around ½ indicates an event that is neither unlikely not likely and a probability near 1 indicates a likely event. 7.PR.6.2 - Approximate the probability of a chance event by collecting data on an event and observing its long-run relative frequency will approach the approach the theoretical probability.
7.PR.6.4 Develop a uniform probability model by assigning equal probability to all outcomes and use the model to determine probabilities of events.
7.PR.6.6 Use appropriate graphical displays and numerical summaries from data distributions with categorical or quantitative (numerical) variables as probability models to draw informal inferences about two samples or populations.
Module 10- Lesson 1 Find Likelihoods Students will solve problems that classify the likelihood of simple events. Module 10- Lesson 2 Relative Frequency of Simple Events Students will find the relative frequency of simple events and compare relative frequency to experimental probability. Module 10- Lesson 3 Theoretical Probability of Simple Events Students will solve problems involving theoretical probability of simple events and their complements. Module 10- Lesson 4 Compare Probabilities of Simple Events Students will solve problems that compare probabilities and relative frequencies of simple events. Module 10- Lesson 5 Probability of Compound Events Students will solve problems by simulating compound probability events. Module 10- Lesson 6 Simulate Chance Events Students will solve problems by simulating compound probability events. Module 11- Lesson 4 Assess Compare Two Populations Students will make comparative inferences about two populations based on the data from random samples Module 11- Lesson 5 Assess Visual Overlap Students will informally assess the degree of visual overlap between two distributions. |