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Standards: Math

CCSS.MATH.CONTENT.HSS.CP.8 (1)
Use the rules of probability to compute probabilities of compound events in a uniform probability model.
Education Level: 9-12
Description:

Apply the general Multiplication Rule in a uniform probability model, P(A and B) = [P(A)]x[P(B|A)] =[P(B)]x[P(A|B)], and interpret the answer in terms of the model.*

CCSS.MATH.CONTENT.HSS.CP.9 (1)
Use the rules of probability to compute probabilities of compound events in a uniform probability model.
Education Level: 9-12
Description:

Use permutations and combinations to compute probabilities of compound events and solve problems.*

CCSS.MATH.CONTENT.HSS.IC.1 (1)
Understand and evaluate random processes underlying statistical experiments.
Education Level: 9-12
Description:

Understand statistics as a process for making inferences about population parameters based on a random sample from that population.*

CCSS.MATH.CONTENT.HSS.IC.2 (0)
Understand and evaluate random processes underlying statistical experiments.
Education Level: 9-12
Description:

Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation. For example, a model says a spinning coin falls heads up with probability 0. 5. Would a result of 5 tails in a row cause you to question the model?*

CCSS.MATH.CONTENT.HSS.IC.3 (1)
Make inferences and justify conclusions from sample surveys, experiments, and observational studies.
Education Level: 9-12
Description:

Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.*

CCSS.MATH.CONTENT.HSS.IC.4 (0)
Make inferences and justify conclusions from sample surveys, experiments, and observational studies.
Education Level: 9-12
Description:

Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.*

CCSS.MATH.CONTENT.HSS.IC.5 (0)
Make inferences and justify conclusions from sample surveys, experiments, and observational studies.
Education Level: 9-12
Description:

Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.*

CCSS.MATH.CONTENT.HSS.IC.6 (0)
Make inferences and justify conclusions from sample surveys, experiments, and observational studies.
Education Level: 9-12
Description:

Evaluate reports based on data.*

CCSS.MATH.CONTENT.HSS.ID.1 (2)
Summarize, represent, and interpret data on a single count or measurement variable.
Education Level: 9-12
Description:

Represent data with plots on the real number line (dot plots, histograms, and box plots).*

CCSS.MATH.CONTENT.HSS.ID.2 (1)
Summarize, represent, and interpret data on a single count or measurement variable.
Education Level: 9-12
Description:

Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.*

CCSS.MATH.CONTENT.HSS.ID.3 (0)
Summarize, represent, and interpret data on a single count or measurement variable.
Education Level: 9-12
Description:

Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).*

CCSS.MATH.CONTENT.HSS.ID.4 (0)
Summarize, represent, and interpret data on a single count or measurement variable.
Education Level: 9-12
Description:

Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.*

CCSS.MATH.CONTENT.HSS.ID.5 (0)
Summarize, represent, and interpret data on two categorical and quantitative variables.
Education Level: 9-12
Description:

Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.*

CCSS.MATH.CONTENT.HSS.ID.6 (1)
Summarize, represent, and interpret data on two categorical and quantitative variables.
Education Level: 9-12
Description:

Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.*

CCSS.MATH.CONTENT.HSS.ID.6a (0)
Summarize, represent, and interpret data on two categorical and quantitative variables.
Education Level: 9-12
Description:

Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.*

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