## CC7

## Monday: 5/21/18

__7.SP.C.5 Understand that the probability of a chance event is a number between 0 and 1 that expresses the likelihood of the event occurring. Larger numbers indicate greater likelihood. A probability near 0 indicates an unlikely event, a probability around 1/2 indicates an event that is neither unlikely nor likely, and a probability near 1 indicates a likely event. 7.SP.C.6 Approximate the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times, but probably not exactly 200 times.7.SP.C.7 Develop a probability model and use it to find probabilities of events. Compare probabilities from a model to observed frequencies; if the agreement is not good, explain possible sources of the discrepancy.7.SP.C.7.b Develop a probability model (which may not be uniform) by observing frequencies in data generated from a chance process. For example, find the approximate probability that a spinning penny will land heads up or that a tossed paper cup will land open-end down. Do the outcomes for the spinning penny appear to be equally likely based on the observed frequencies?__

**Objective:**__: Why do our experimental results not always match our theoretical ones?__

**Essential Question****I Can**explain why results from repeating an experiment may not exactly match the expected probability for an event. I can calculate the probability of an event when the outcomes in the sample space are not equally likely.

Today's Agenda:;

- More Estimating Probabilities
- Practice Problems

## Tuesday: 5/22/18

__7.SP.C.5 Understand that the probability of a chance event is a number between 0 and 1 that expresses the likelihood of the event occurring. Larger numbers indicate greater likelihood. A probability near 0 indicates an unlikely event, a probability around 1/2 indicates an event that is neither unlikely nor likely, and a probability near 1 indicates a likely event. 7.SP.C.6 Approximate the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times, but probably not exactly 200 times.7.SP.C.7 Develop a probability model and use it to find probabilities of events. Compare probabilities from a model to observed frequencies; if the agreement is not good, explain possible sources of the discrepancy.7.SP.C.7.b Develop a probability model (which may not be uniform) by observing frequencies in data generated from a chance process. For example, find the approximate probability that a spinning penny will land heads up or that a tossed paper cup will land open-end down. Do the outcomes for the spinning penny appear to be equally likely based on the observed frequencies?__

**Objective:**__: Why do we want to create a simulation to represent a situation?__

**Essential Question****I Can**simulate a real-world situation using a simple experiment that reflects the probability of the actual event.

Today's Agenda:

- Estimating Probabilities using simulations
- Practice Problems

## Wednesday: 5/23/18

__7.RP.A Analyze proportional relationships and use them to solve real-world and mathematical problems.7.SP.C.8.c Design and use a simulation to generate frequencies for compound events. For example, use random digits as a simulation tool to approximate the answer to the question: If 40% of donors have type A blood, what is the probability that it will take at least 4 donors to find one with type A blood?__

**Objective:**__: How do we design a simulation for a multi-step event?__

**Essential Question****I Can**use a simulation to estimate the probability of a multi-step event.

Today's Agenda:

## Thursday: 5/24/18

__7.SP.C.8.b Represent sample spaces for compound events using methods such as organized lists, tables and tree diagrams. For an event described in everyday language (e.g., “rolling double sixes”), identify the outcomes in the sample space which compose the event.__

**Objective:**__: How do we design a simulation for a multi-step event?__

**Essential Question****I Can**write out the sample space for a multi-step experiment, using a list, table, or tree diagram.

Today Agenda:

## Friday: 5/25/18

__7.SP.C.8.b Represent sample spaces for compound events using methods such as organized lists, tables and tree diagrams. For an event described in everyday language (e.g., “rolling double sixes”), identify the outcomes in the sample space which compose the event.__

**Objective:**__: How do we design a simulation for a multi-step event?__

**Essential Question****I Can**write out the sample space for a multi-step experiment, using a list, table, or tree diagram.

Today's Agenda:

- Did you solve 8.3 from yesterday?
- Quiz
- Lesson summary catch up
- Visual patterns