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9-12 Integrated Math 3 Unit 7

Gradeband

K-5 Math 6-8 Math •9-12 Math

Course

Integrated Math 1 Integrated Math 2 •Integrated Math 3

Unit

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

Modeling Prompts

K-5
6-8
9-12

Integrated Math 1
Integrated Math 2
Integrated Math 3

Algebra 1
Geometry
Algebra 2
Extra Support Materials for Algebra 1

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

Modeling Prompts

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Unit 7

Student Learning Targets

$Course Icon$

Integrated Math 3

Section AStudy Types

1

Being Skeptical

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

Study Types

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

Randomness in Groups

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

Section BDistributions

Section CNot All Samples Are the Same

Section DAnalyzing Experimental Data

Section ELet's Put It to Work

Unit 7 Resources

Student Materials

4

Describing Distributions

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

Normal Distributions

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

Areas in Histograms

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

Areas under a Normal Curve

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

8

Not Always Ideal

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

Variability in Samples

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

Estimating Proportions from Samples

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

Estimating a Population Mean

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

Experimenting

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

Using Normal Distributions for Experiment Analysis

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

Questioning Experimenting

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

Heart Rates

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.