## CC7

## Monday: 5/14/18

__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 time__

**Objective:**__: How do we define the likelihood of an event?__

**Essential Question****I Can**get an idea for the likelihood of an event by using results from previous experiments.

Today's Agenda:

- Review your work from Friday.

## Tuesday: 5/15/18

__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.__

**Objective:**__: How do we define the likelihood of an event?__

**Essential Question****I Can**I can describe the likelihood of events using the words impossible, unlikely, equally likely as not, likely, or certain. I can tell which event is more likely when the chances of different events are expressed as fractions, decimals, or percentages.

Today's Agenda:

## Wednesday: 5/16/18

__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.a Develop a uniform probability model by assigning equal probability to all outcomes, and use the model to determine probabilities of events. For example, if a student is selected at random from a class, find the probability that Jane will be selected and the probability that a girl will be selected.__

**Objective:**__: What is a sample space?__

**Essential Question****I Can**I can use the sample space to calculate the probability of an event when all outcomes are equally likely. I can write out the sample space for a simple chance experiment.

Today's Agenda:

- Likelihood task
- What are the probabilities?

## Thursday: 5/17/18

__7.RP.A Analyze proportional relationships and use them to solve real-world and mathematical problems.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:**__: How do repeated experiments help us understand the probability of an event?__

**Essential Question****I Can**explain whether certain results from repeated experiments would be surprising or not. I can estimate the probability of an event based on the results from repeating an experiment.

Today's Agenda:

## Friday: 5/18/18

Dear CC7 Students,

Hello! Unfortunately, I cannot be with you today. You are expected to get started RIGHT away when the bell rings at the beginning of the period . Remember, I expect you to be working and not socializing during this time. This is an academic setting, one in which I am holding you accountable for. Please be sure you have chosen your seats where you will work best.

Hello! Unfortunately, I cannot be with you today. You are expected to get started RIGHT away when the bell rings at the beginning of the period . Remember, I expect you to be working and not socializing during this time. This is an academic setting, one in which I am holding you accountable for. Please be sure you have chosen your seats where you will work best.

- Get from the sub and complete the review packet. The first problem reads “ Solve the following equation and choose the correct solution for n”. You may work in groups of up to 3 quietly on this assignment. Some of you have started it. But you haven't shown any work. Please review all problems, make sure you have work. Turn this in. Is your name on it???
- Get from the sub and complete Unit 8: Lesson 6: Estimating Probabilities using Simulation
- This is more than enough work for 90 minutes. If you have finished early, check back over your work. Is it the best that you could do? Did you show proof of your thinking? Will you be able to follow your own work on Monday?