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9-12 Integrated Math 3 Unit 7

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K-5 Math 6-8 Math •9-12 Math

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Integrated Math 1 Integrated Math 2 •Integrated Math 3

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

K-5
6-8
9-12

Integrated Math 1
Integrated Math 2
Integrated Math 3

Algebra 1
Geometry
Algebra 2
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Unit 3
Unit 4
Unit 5
Unit 6
Unit 7

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

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Unit 7

Student Learning Targets

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Integrated Math 3

Section A

1

I can evaluate strengths and weaknesses of a study, using evidence.
I can recognize the difference between a survey, observational study, or experimental study.
I understand why randomization is important in the design of a study.

2

I can describe the different purposes for each type of study design (survey, observational study, or experimental study).
I can recognize the difference between a survey, observational study, or experimental study.
I understand that my choice of the design for a study will impact what questions I can answer.

3

I recognize that the way I choose a sample matters, and that random samples tend to be more representative of the population.

Section B

4

I can describe a distribution using the characteristics of its shape, center, and spread.
I can use the standard deviation to describe the variability in a distribution.

5

I can calculate a relative frequency and create a relative frequency histogram.
I know that a normal curve is defined using the mean and standard deviation.

6

I can calculate a proportion of a set of data that matches a shaded area in a histogram.
I recognize the patterns of proportions that occur in distributions that are approximately normal in shape.

7

I can use the mean and standard deviation of a normally distributed data set to estimate intervals when given a proportion.

Section C

Section D

Section E

Unit 7 Resources

Student Materials

I can use the mean and standard deviation of a normally distributed data set to estimate proportions.

8

I can justify a mathematical claim using evidence.
I know how to use mathematical evidence to decide if outcomes are consistent with a model.
I understand why it's important to be skeptical of data that seems unfair.

9

I can estimate the margin of error of an estimate of a population characteristic, using a sample statistic together with the standard deviation of the sampling distribution.
I understand that sample means and proportions can be representative of the overall population.
I understand that sample means and proportions vary.

10

I can estimate a margin of error using the standard deviation of a simulated sampling distribution.
I understand that sample size influences the size of the margin of error for a data set.

11

I can use sample means to estimate a population mean and an associated margin of error.
I understand that sample means that are normally distributed follow the same pattern as sample proportions.

12

I can find the difference between two treatment means and use a randomization distribution to determine whether or not the result occurred by chance.
I understand why randomization is important in the design of a study.

13

I can calculate the difference in means between two groups.
I can justify whether there is evidence for a statistical claim by using proportions in the normal distribution.
I understand that the difference in means can be modeled by a distribution that is approximately normal in shape.

14

I can use a randomization distribution to determine whether there is evidence that a treatment was the cause of the results of an experiment.
I understand why it is important to question the results of an experiment.

15

I can conduct an experiment and analyze the results.
I can justify when the experiment provides evidence of an effect of a treatment.
I know why it is important to question the validity of the claims of an experiment.