analyzing & interpreting data

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Analyzing & Interpreting DATA (Graphs can be fun!)

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Analyzing & Interpreting DATA. (Graphs can be fun!). In everyday life we’re surrounded by graphs . Graphs tell us stories about data. Emotional contentment over a year. End of school year. Report cards/conferences/ budget cuts. vampires. Must-read book. TWILIGHT. - PowerPoint PPT Presentation

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Page 1: Analyzing  & Interpreting DATA

Analyzing & Interpreting

D ATA(Graphs can be fun!)

Page 2: Analyzing  & Interpreting DATA

In everyday lifewe’re surrounded by graphs

Page 3: Analyzing  & Interpreting DATA

Graphs tell us storiesabout data

Page 4: Analyzing  & Interpreting DATA

Emotional contentment over a year

Report cards/conferences/budget cuts

End of school year

Page 5: Analyzing  & Interpreting DATA

Must-read book

teen romance

vampires

moodyPacific Northwest

setting

TWILIGHT

Page 6: Analyzing  & Interpreting DATA

Index Graph: consists of 4 quadrants that each represent a combination of relative strengths and weaknesses as indicated by the prompts of the graph compass.

Really good for comparing two variables at once. Best with categorical data.

Graphs

Page 7: Analyzing  & Interpreting DATA

Scatter graphs: provide an assessment of the relationship of multiple elements to the ideal provided condition at the center of the circle.

Each concentric ring represents an order, from most to least related to the central theme.

Really good for looking at one continuous variable

Graphs

Page 8: Analyzing  & Interpreting DATA

Catalog of cuteness

• snuggly puppies

• sick kindergarteners

Page 9: Analyzing  & Interpreting DATA

Bubble Chart: A bubble chart is used to visualize a data set with two to four dimensions.

The first two dimensions are visualized as Size, then Color. The 3rd & 4th dimensions can be visualized as coordinates

Best with continuous data

Graphs

Page 10: Analyzing  & Interpreting DATA

How do different types of graphs help us see and understand plant strategies for reproduction?

Pre-think: How do plants reproduce? In what ways do plants have different strategies for their reproduction?

Focus Question

Page 11: Analyzing  & Interpreting DATA

Mangrove seed

Dandelion

Okra with seeds

Maple seeds

Coyote bush seeds

Persimmon

Pomegranate

Types of Plants We’ll Be Thinking About

Page 12: Analyzing  & Interpreting DATA

-Number of seeds per fruit

-Amount of fruit per plant

- Weight of seeds (in grams)

- Taste of fruit surrounding seed

- Seed dispersal method

- Plant life cycle

What kinds of variables are each of these?

Variables we’ll be working with for each plant

Page 13: Analyzing  & Interpreting DATA

-Continuous Data can take any value

-Example: Plant Height (measured in feet)

- Heights could be 2’8’’, 4’2’’, 8’3’’, 15’, 80’, etc, etc, etc.

Continuous v. Categorical Data

Page 14: Analyzing  & Interpreting DATA

-Categorical Data can only take certain values (within a given range):

-Example: Plant Height (categorized)

- Heights could be Short, Medium, or Tall.

Continuous v. Categorical Data

Page 15: Analyzing  & Interpreting DATA

Each group assigned 1 graph type (Double Axis, Scatter, or Bubble)—2 groups work on each type of graph

Make at least 2 graphs using plant data of their choice

Include in your graphs:

What kinds of variables(data) you used (continuous or categorical)

Which graph was the most telling

One pattern you notice in your graph of choice and the relationship you predict is happening

Poster

Page 16: Analyzing  & Interpreting DATA

“I notice…”“One pattern I notice

is…”

“I wonder…”

“The _______ graph helps me to see________.”

“I would like to have more information about ______.”

Gallery Walk

Page 17: Analyzing  & Interpreting DATA

What patterns did you notice and what graphs helped you see those patterns best?

What information do you need to feel more confident in the relationships you see?

What are some strategies for plant reproduction based on these data?

What kinds of graphs are best for what kinds of data?

Graph and Content Discussion

Page 18: Analyzing  & Interpreting DATA

Focus question:

How do different types of graphs help us see and understand plant strategies for reproduction?

Whole Group Share-Out

Pomegranate

Dandelion

Page 19: Analyzing  & Interpreting DATA

Learning objectives:

SPOTTeachers will be able use to new and different graphsTeachers will see how different graphs can reveal different patterns and relationships

Content goalTeachers will be able to identify several strategies for plant reproduction based on evidence from a data set

SPOT Transparency

Page 20: Analyzing  & Interpreting DATA

Analyzing & Interpreting Data, Indicator 1:Display data in table and graphs to reveal patterns that indicate relationships

Indicator Focus of Observation

3rd grade level 4th grade level 5th grade level

Display data in table and graphs to reveal patterns that indicate relationships

StudentEnter data into table or graph provided by

teacher or curriculum

Create a graph with support, and use it to display data

Decide on an appropriate

graph. Create it. Then use to display data.

TeacherProvide graphs or tables and model how to enter data

Model how to create a graph or table and how to enter

data

Model how to choose an

appropriate graph based on the activity or data collected

SPOT Transparency

Page 21: Analyzing  & Interpreting DATA

Display data in table and graphs to reveal patterns that indicate relationships

Time Constraints:

Type of Data:

Type of Lesson:

Multiple Graphical Representations:

Choices with Graphs & Variables:

SPOT Transparency

Page 22: Analyzing  & Interpreting DATA

Where are there natural places in your upcoming lessons that students can analyze and interpret data?

Where are there shifts you can make in your upcoming lessons to allow students to analyze and interpret data?

Some prompts to help you think about your data:• How will you be collecting data?• What kind of data will you be collecting or using

(continuous or categorical)• What kinds of graphs might be best to represent the kind

of data that you are using?

Planning for Data