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STANDARDS

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US-MO

Math

Missouri Math

Grade 7: Data Analysis, Statistics and Probability

7.DSP.A

Use random sampling to draw inferences about a population.

7.DSP.A.1

Understand that statistics can be used to gain information about a population by examining a sample of the population.

7.DSP.A.1a

Fully covered
Understand that a sample is a subset of a population.
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7.DSP.A.1b

Fully covered
Understand that generalizations from a sample are valid only if the sample is representative of the population.
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7.DSP.A.1c

Fully covered
Understand that random sampling is used to produce representative samples and support valid inferences.
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7.DSP.A.2

Fully covered
Use data from multiple samples to draw inferences about a population and investigate variability in estimates of the characteristic of interest.
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7.DSP.B

Draw informal comparative inferences about two populations.

7.DSP.B.3

Fully covered
Analyze different data distributions using statistical measures.
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7.DSP.B.4

Fully covered
Compare the numerical measures of center, measures of frequency and measures of variability from two random samples to draw inferences about the population.
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7.DSP.C

Develop, use and evaluate probability models.

7.DSP.C.5

Investigate the probability of chance events.

7.DSP.C.5a

Not covered
Determine probabilities of simple events.
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7.DSP.C.5b

Not covered
Understand that the probability of a chance event is a number between 0 and 1 that expresses the likelihood of the event occurring.
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7.DSP.C.6

Investigate the relationship between theoretical and experimental probabilities for simple events.

7.DSP.C.6a

Mostly covered
Predict outcomes using theoretical probability.

7.DSP.C.6b

Fully covered
Perform experiments that model theoretical probability.

7.DSP.C.6c

Fully covered
Compare theoretical and experimental probabilities.

7.DSP.C.7

Explain possible discrepancies between a developed probability model and observed frequencies.

7.DSP.C.7a

Fully covered
Develop a uniform probability model by assigning equal probability to all outcomes, and use the model to determine probabilities of events.

7.DSP.C.7b

Fully covered
Develop a probability model (which may not be uniform) by observing frequencies in data generated from a chance process.

7.DSP.C.8

Find probabilities of compound events using organized lists, tables, tree diagrams and simulations.

7.DSP.C.8a

Mostly covered
Represent the sample space of a compound event.

7.DSP.C.8b

Mostly covered
Design and use a simulation to generate frequencies for compound events.