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Algebra II

(7 Units, 80 Lessons)

Unit 6 - Statistics: Single-Variable(13 Lessons)

Introduction to Statistics

Algebra II

» Unit:

Statistics: Single-Variable

Big Idea:In our study of statistics, you will learn how to collect, interpret, and describe variability in data. Statistics is a language used frequently in the media and extensively in social and physical sciences.

16 Resources

6 Favorites

16 Resources

6 Favorites

Looking at One-Variable Data Sets

Algebra II

» Unit:

Statistics: Single-Variable

Big Idea:Making graphs and calculating summary statistics helps us describe one-variable data sets.

17 Resources

1 Favorites

17 Resources

1 Favorites

Describing Single-Variable Data Sets

Algebra II

» Unit:

Statistics: Single-Variable

Big Idea:In order to make sense of a data set, we must know about the shape of the distribution, where its center is located, and how far the values tend to stray from the center.

15 Resources

2 Favorites

15 Resources

2 Favorites

One-Variable Distribution Activity

Algebra II

» Unit:

Statistics: Single-Variable

Big Idea:Graphs and summary statistics help us communicate the most important features of one-variable data sets.

9 Resources

1 Favorites

9 Resources

1 Favorites

Bell-Shaped Distributions and the Normal Model

Algebra II

» Unit:

Statistics: Single-Variable

Big Idea:For mound-shaped, symmetric distributions, the Normal Model is a good approximation. Applying the normal model allows us to predict population percentages and percentile values using the Empirical Rule.

16 Resources

4 Favorites

16 Resources

4 Favorites

Quiz on Distributions and the Empirical Rule

Algebra II

» Unit:

Statistics: Single-Variable

Big Idea:This quiz is an opportunity to demonstrate your understanding of one-variable distributions and the Empirical Rule.

8 Resources

0 Favorites

8 Resources

0 Favorites

Using Technology with Normal Model

Algebra II

» Unit:

Statistics: Single-Variable

Big Idea:The Empirical Rule helps us know the percent of values that are one or two standard deviations from the mean, but what do we do for 1.33 SDs?

17 Resources

0 Favorites

17 Resources

0 Favorites

Assessing Statistical Significance DAY 1

Algebra II

» Unit:

Statistics: Single-Variable

Big Idea:We can use simulations to compare the results of an experiment to what might have happened by chance alone. Doing this allows us to assess the statistical significance of our results.

10 Resources

1 Favorites

10 Resources

1 Favorites

Assessing Statistical Significance DAY 2

Algebra II

» Unit:

Statistics: Single-Variable

Big Idea:We can use simulations to compare the results of an experiment to what might have happened by chance alone. Doing this allows us to assess the statistical significance of our results.

9 Resources

0 Favorites

9 Resources

0 Favorites

Developing Confidence Intervals DAY 1

Algebra II

» Unit:

Statistics: Single-Variable

Big Idea:Reporting a point estimate along with a margin of error provides much more information than the point estimate alone. We can use simulations to develop a confidence interval.

11 Resources

1 Favorites

11 Resources

1 Favorites

Developing Confidence Intervals DAY 2

Algebra II

» Unit:

Statistics: Single-Variable

Big Idea:Reporting a point estimate along with a margin of error provides much more information that the point estimate alone. We can use simulations to develop a confidence interval.

6 Resources

1 Favorites

6 Resources

1 Favorites

Review of One-Variable Statistics

Algebra II

» Unit:

Statistics: Single-Variable

Big Idea:Getting ready for a summative test on one-variable statistics means doing lots of problems and asking questions when you get stuck.

13 Resources

1 Favorites

13 Resources

1 Favorites

Unit Assessment: One-Variable Statistics

Algebra II

» Unit:

Statistics: Single-Variable

Big Idea:One-variable distributions can be used to infer unknown characteristics of populations.

5 Resources

0 Favorites

5 Resources

0 Favorites