## 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-ID.B.6b | ||
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Informally assess the fit of a function by plotting and analyzing residuals.
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## HSS-ID.B.6c | ||
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Fit a linear function for a scatter plot that suggests a linear association.
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## HSS-ID.C.7 | ||
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Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.
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## HSS-ID.C.8 | ||
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Compute (using technology) and interpret the correlation coefficient of a linear fit.
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## HSS-ID.C.9 | ||
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Distinguish between correlation and causation.
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## HSS-MD.A.2 | ||
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(+) Calculate the expected value of a random variable; interpret it as the mean of the probability distribution.
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## HSS-MD.A.3 | ||
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(+) Develop a probability distribution for a random variable defined for a sample space in which theoretical probabilities can be calculated; find the expected value.
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## HSS-MD.A.4 | ||
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(+) Develop a probability distribution for a random variable defined for a sample space in which probabilities are assigned empirically; find the expected value.
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## HSS-MD.B.5 | ||
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(+) Weigh the possible outcomes of a decision by assigning probabilities to payoff values and finding expected values.
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