# data[].attributes.body
This activity will help you develop better organization skills when dealing with wide information about a topic.
You will be prepared to use Box-and-whisker plot with more complex data.

# data[].attributes.body
1. How many sibilings do you have?
2. What do you think was your grade in the last assignment?
3. What is your mother's age?
(I accept suggestions)

# data[].attributes.body
We will learn how to create visual representation of data collected from our classmates.
We will be able to compare our box-and-whisker plots to determine if there is a difference in data collected from girls versus boys.
As a class, we will create different box-and-whisker plots based on different demographics and compare them.

# data[].attributes.body
The Box-and-Whisker Plot also called the box plot was invented in the 1970s by statistician John Wilder Tukey.  The box plot has been used as an effective way to organize data sets. It is useful for revealing the central tendency and variability of a data set, the distribution (particularly symmetry or skewness) of the data, and the presence of outliers. It is also a powerful graphical technique for comparing samples from two or more different treatments or populations.

# data[].attributes.body
Discussion
The main method we will use to have an interactive learning environment is Discussion Method. This will help you get help and feedback with your classmates. This way everyone as a class will be successful in completing the assignment.
Cooperative Learning
We will work in different groups depending on demographics, sharing different information and our knowledge to organize and create a plot  together.  We will develop friendship, teamwork, and communication skills throughout the activity

# data[].attributes.body
SMP 2, SMP3, SMP4, SMP5, SMP7
CCSS.MATH.CONTENT.7.SP.B.4
Our 7th grade class will use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.

# data[].attributes.body
In a world were knowledge is power, knowing how to organize information can give you an advantage. if you want to be an entrepreneur, it will help you know if it is a good idea to open a new business in town based on the data you collect from people in your town. If you want to become a teacher, It will help you organize and compare grades from tests.

# data[].attributes.body
To extend this activity, I would ask students to preform a physical activity such as jumping the rope instead of asking questions to collect accurate data obtained on the spot.  This will engage students in an activity which is fun by combining Physical education with Statistics.

# data[].attributes.body
Step 1: Order the data from least to greatest.

Step 2: Find the median of the data.

This is also called quartile 2 (Q2).

Step 3: Find the median of the data less than Q2.

This is the lower quartile (Q1).

Step 4. Find the median of the data greater than Q2.

This is the upper quartile (Q3).

Step 5. Find the extreme values: these are the largest and smallest data values.

Extreme values = 53 and 94.

Step 6. Create a number line that will contain all of the data values.

It should stretch a little beyond each extreme value.

Step 7. Draw a box from Q1 to Q3 with a line dividing the box at Q2. Then extend "whiskers" from each end of the box to the extreme values.

# data[].attributes.body
Tu, Renjin. “Box-and-Whisker Plot.” Encyclopædia Britannica, Encyclopædia Britannica, Inc., 29 Nov. 2016, www.britannica.com/science/box-and-whisker-plot.
“Grade 7 » Statistics & Probability.” English Language Arts Standards » Reading: Informational Text » Grade 5 | Common Core State Standards Initiative, www.corestandards.org/Math/Content/7/SP/.
Shmoop Editorial Team. “Basic Statistics & Probability Box & Whisker Plots.” Shmoop, Shmoop University, 11 Nov. 2008, www.shmoop.com/basic-statistics-probability/box-whisker-plots.html.

# data[].attributes.body
Designated groups with no fixed number of group member
Groups are based on the demographics you prefer. (example:  Gender, age, ethnicity)
Each group will have the following materials:
poster board ( cut in half)
color markers ( use color coding to identify median, Q1, Q2,Q3, outlier.
ruler

# data[].attributes.body
To start this activity, we will review mean, median, mode, and range.  I will give an example of how we create a Box-and-Whisker Plot.
We will divide the classroom into groups depending on the demographics you prefer. (example:  Gender, age, ethnicity).
Each person in the group will have a role in their group: Interviewer, Data Recorder,  Presenter, poster board organizer.  If there are too many people in a group, two may work as a team for each task.
The recorder must identify which group they are interviewing, question they are asking, and all the data as the example provided.
After recording all the data collected, you will need to find the mean, median, mode, range, Q1, Q2, Q3, IQR, and Standard Deviation.
After you are confident that your team have the correct calculations for the data collected, you can start construction you Box-and-Whisker Plot on the poster board.
Make sure everyone in the group knows how to construct the plot.  Everyone will have a chance to explain to the class something you learn from the data collected.
As a class we will compare the plots from different groups and see if there are similarities and differences between them.
You will repeat the activity with a new group and a new question to ask.