## Mi Math Standards

Special | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z |

**ALL**

## H |
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## HSS-IC.B.4 | ||
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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.
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## HSS-IC.B.5 | ||
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Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.
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## HSS-IC.B.6 | ||
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Evaluate reports based on data.
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## HSS-ID.A.1 | ||
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Represent data with plots on the real number line (dot plots, histograms, and box plots).
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## HSS-ID.A.3 | ||
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Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
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## HSS-ID.A.4 | ||
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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.
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## HSS-ID.B.5 | ||
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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.
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## HSS-ID.B.6 | ||
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## HSS-ID.B.6a | ||
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