Learning Domain: Statistics and Probability: Making Inferences and Justifying Conclusions

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

Degree of Alignment:
Not Rated
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Learning Domain: Statistics and Probability: Making Inferences and Justifying Conclusions

Standard: 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.*

Degree of Alignment:
Not Rated
(0 users)

Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data

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

Degree of Alignment:
Not Rated
(0 users)

Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data

Standard: 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.*

Degree of Alignment:
Not Rated
(0 users)

Cluster: Summarize, represent, and interpret data on a single count or measurement variable

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

Degree of Alignment:
Not Rated
(0 users)

Cluster: Summarize, represent, and interpret data on a single count or measurement variable

Standard: 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.*

Degree of Alignment:
Not Rated
(0 users)

Cluster: Make inferences and justify conclusions from sample surveys, experiments, and observational studies

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

Degree of Alignment:
Not Rated
(0 users)

Cluster: Make inferences and justify conclusions from sample surveys, experiments, and observational studies

Standard: 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.*

Degree of Alignment:
Not Rated
(0 users)

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