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IM K-5 Math
IM 6-8 Math
IM 9-12 Math

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IM® 6-8 Math v.360, an IM v.360 curriculum, is ©2024 by Illustrative Mathematics®, and licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

IM 6-8 Math v.360, an IM v.360 curriculum, is a derivative of IM 6-8 Math.

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Adaptations and additions to create IM 6–8 Math v.360 Accelerated are ©2025 by Illustrative Mathematics, and are licensed under the Creative Commons Attribution 4.0 International License (CC BY-NC 4.0).

Adaptations to add additional English language learner supports are ©2019 by Open Up Resources, and are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

The second set of English assessments (marked as set “B”) are ©2019 by Open Up Resources, and are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0) .

Spanish translation of the “B” assessments are ©2020 by Illustrative Mathematics, and are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

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6-8 Accelerated 6 Unit 8

Gradeband

K-5 Math •6-8 Math 9-12 Math

Course

•Accelerated 6 Accelerated 7

Unit

Unit 1 Unit 2 Unit 3 Unit 4 Unit 5 Unit 6 Unit 7 •Unit 8 Unit 9

K-5
6-8
9-12

Accelerated 6
Accelerated 7

Grade 6
Grade 7
Grade 8

Unit 1
Unit 2
Unit 3
Unit 4
Unit 5
Unit 6
Unit 7
Unit 8
Unit 9

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Unit 8

Student Learning Targets

Accelerated 6

Section ADot Plots and Histograms

1

Representing Data

I can describe the information presented in tables, dot plots, and bar graphs.
I can tell when data has variability.

2

Using Dot Plots to Answer Statistical Questions

I can use a dot plot to represent the distribution of a data set and answer questions about the real-world situation.
I can use center and spread to describe data sets, including what is typical in a data set.

3

Interpreting Histograms

I can use a histogram to describe the distribution of data and determine a typical value for the data.
I can use a histogram to get information about the distribution of data and explain what it means in a real-world situation.

Section BMeasures of Center and Variability

Section CSampling

Section DProbability

Unit 8 Resources

Student Materials

4

The Mean

I can describe what the mean tells us in the context of the data.
I can find the mean for a numerical data set.

5

Variability and MAD

I can use means and MADs to compare groups.
I know what the mean absolute deviation (MAD) measures and what information it provides.

6

The Median

I can determine when the mean or the median is more appropriate to describe the center of data.
I can find the median for a set of data.

7

Box Plots and Interquartile Range

I can use the IQR to describe the spread of data.
I know what information a box plot shows and how it is constructed.

8

Larger Populations

I can explain why it may be useful to gather data on a sample of a population.
When I read or hear a statistical question, I can name the population of interest and give an example of a sample for that population.

9

What Makes a Good Sample?

I can determine whether a sample is representative of a population by considering the shape, center, and spread of each of them.
I know that some samples may represent the population better than others.
I remember that when a distribution is not symmetric, the median is a better estimate of a typical value than the mean.

10

Sampling in a Fair Way

I can describe ways to get a random sample from a population.
I know that selecting a sample at random is usually a good way to get a representative sample.

11

Estimating Population Measures of Center

I can consider the variability of a sample to get an idea for how accurate my estimate is.
I can estimate the mean or median of a population based on a sample of the population.

12

More about Sampling Variability

I can use the means from many samples to judge how accurate an estimate for the population mean is.
I know that as the sample size gets bigger, the sample mean is more likely to be close to the population mean.

13

What Are Probabilities?

I can use the sample space to calculate the probability of an event when all outcomes are equally likely.
I can write out the sample space for a simple chance experiment.

14

Estimating Probabilities through Repeated Experiments

I can estimate the probability of an event based on the results from repeating an experiment.
I can explain whether certain results from repeated experiments would be surprising or not.

15

Keeping Track of All Possible Outcomes

I can write out the sample space for a multi-step experiment, using a list, table, or tree diagram.

16

Multi-step Experiments

I can use the sample space to calculate the probability of an event in a multi-step experiment.

17

Designing Simulations

I can design a simulation to estimate the probability of a multi-step real-world situation.