## Status message

Dear LOR user,

Thank you for being a big part of this community. To better support the initiatives around open educational resources in the state of Michigan, all resources on the Michigan Virtual Learning Object Repository (LOR) are being moved to #GoOpen Michigan on September 30th, 2018. During the transition, our LOR will be moved to an archived state, not allowing new user registration or new content to be added. An email with more details was sent to registered users of the LOR in September. To make use of the great resources on the platform, we encourage you to create an account and add your own new resources to the #GoOpen Michigan platform.

# Standards: Math

(0)
Summarize, represent, and interpret data on two categorical and quantitative variables.
Education Level: 9-12
Description:

Informally assess the fit of a function by plotting and analyzing residuals.*

(0)
Summarize, represent, and interpret data on two categorical and quantitative variables.
Education Level: 9-12
Description:

Fit a linear function for a scatter plot that suggests a linear association.*

(1)
Interpret linear models.
Education Level: 9-12
Description:

Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.*

(0)
Interpret linear models.
Education Level: 9-12
Description:

Compute (using technology) and interpret the correlation coefficient of a linear fit.*

(0)
Interpret linear models.
Education Level: 9-12
Description:

Distinguish between correlation and causation.*

(0)
Calculate expected values and use them to solve problems.
Education Level: 9-12
Description:

Define a random variable for a quantity of interest by assigning a numerical value to each event in a sample space; graph the corresponding probability distribution using the same graphical displays as for data distributions.*

(1)
Calculate expected values and use them to solve problems.
Education Level: 9-12
Description:

Calculate the expected value of a random variable; interpret it as the mean of the probability distribution.*

(1)
Calculate expected values and use them to solve problems.
Education Level: 9-12
Description:

Develop a probability distribution for a random variable defined for a sample space in which theoretical probabilities can be calculated; find the expected value. For example, find the theoretical probability distribution for the number of correct answers obtained by guessing on all five questions of a multiple-choice test where each question has four choices, and find the expected grade under various grading schemes.*

(1)
Calculate expected values and use them to solve problems.
Education Level: 9-12
Description:

Develop a probability distribution for a random variable defined for a sample space in which probabilities are assigned empirically; find the expected value. For example, find a current data distribution on the number of TV sets per household in the United States, and calculate the expected number of sets per household. How many TV sets would you expect to find in 100 randomly selected households?*

(1)
Use probability to evaluate outcomes of decisions.
Education Level: 9-12
Description:

Weigh the possible outcomes of a decision by assigning probabilities to payoff values and finding expected values.*

(0)
Use probability to evaluate outcomes of decisions.
Education Level: 9-12
Description:

Find the expected payoff for a game of chance. For example, find the expected winnings from a state lottery ticket or a game at a fast-food restaurant.*

(0)
Use probability to evaluate outcomes of decisions.
Education Level: 9-12
Description:

Evaluate and compare strategies on the basis of expected values. For example, compare a high-deductible versus a low-deductible automobile insurance policy using various, but reasonable, chances of having a minor or a major accident.*

(1)
Use probability to evaluate outcomes of decisions.
Education Level: 9-12
Description:

Use probabilities to make fair decisions (e.g., drawing by lots, using a random number generator).*

(1)
Use probability to evaluate outcomes of decisions.
Education Level: 9-12
Description:

Analyze decisions and strategies using probability concepts (e.g., product testing, medical testing, pulling a hockey goalie at the end of a game).*

(1)
Know number names and the count sequence.
Education Level: K
Description:

Count to 100 by ones and by tens.