##
* *Reflection: ELL Students
Describing Single-Variable Data Sets - Section 2: Foldable Notes

Foldable graphic organizers help students see the connections among different items of information. They are consistent with brain-based research that stresses the importance of visual-kinesthetic learning. They are especially helpful to English Language Learners and students with IEPs, but consistent use of this type of note taking strategy can improve retention in all students. The SOCS four-tab foldable emphasises the importance of Shape, Outliers, Center, and Spread when analyzing the features of a bivariate dataset. As a foldable, students can choose to focus on a single element or open all tabs to compare and contrast two or more features.

*Improving Retention with Graphic Organizers*

*ELL Students: Improving Retention with Graphic Organizers*

# Describing Single-Variable Data Sets

Lesson 3 of 13

## Objective: SWBAT describe the shape, center and variability of a one-variable data sets.

## 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.

*90 minutes*

#### Opening Activity

*30 min*

When my students enter the classroom, I ask them to take a card from a deck that I have prepared in advance. This deck has the ace through 8 of three suits. After the bell rings, I ask students to get together with the students who have the same cards (different suit) as them. These will be the groups for today's warm-up, which is a matching game.

Matching Histogram, Boxplot, Summary is a set of cards that should be printed on cardstock before using the first time. The set contains a histogram, box plot and set of summary statistics for 8 different distributions. The goal of the activity is to match up the 8 sets of cards and record the match on the Matching Record Sheet recording sheet. The goal of the activity is for students to refine their conceptual understanding of the standard deviation as a measure of variability.

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#### Foldable Notes

*30 min*

I want my students to remember that the most important features of a one-variable data distribution are Shape, Outliers, Center and Spread. To help them remember this, I use the mnemonic **SOCS:**

**S**= the shape of the distribution**O**= whether or not there are outliers in the data set**C**= the location of the center**S**= a measure of how far the values tend to be from the center

In this lesson, we make a **Foldable Resource** for their notes that details best practices for describing these four characteristics of a univariate data set.

*expand content*

Using their Foldable notes, students will describe the three data sets in Data to Describe. I send this data to my students as a TI Nspire file so that they do not spend time entering the data. I remind them that their descriptions should be paragraphs, not lists, and they they must refer to the summary statistics (mean, median, standard deviation, IQR) that they obtained using the calculator.

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#### Wrap-Up Discussion

*10 min*

I invite volunteers to the board to share their written description of the three distributions in Data to Describe. I emphasize the importance of describing the distribution in a paragraph rather than a list. This is an important skill that they will need for more advanced study in statistics so I help them hone it early on [MP3]. As a class, we review each of the volunteers' answers and work to improve it if necessary.

#### Resources

*expand content*

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- LESSON 1: Introduction to Statistics
- LESSON 2: Looking at One-Variable Data Sets
- LESSON 3: Describing Single-Variable Data Sets
- LESSON 4: One-Variable Distribution Activity
- LESSON 5: Bell-Shaped Distributions and the Normal Model
- LESSON 6: Quiz on Distributions and the Empirical Rule
- LESSON 7: Using Technology with Normal Model
- LESSON 8: Assessing Statistical Significance DAY 1
- LESSON 9: Assessing Statistical Significance DAY 2
- LESSON 10: Developing Confidence Intervals DAY 1
- LESSON 11: Developing Confidence Intervals DAY 2
- LESSON 12: Review of One-Variable Statistics
- LESSON 13: Unit Assessment: One-Variable Statistics