Skip to main content
Participatory Science
Acadia Learning brings scientists, teachers, and students together in partnerships that result in useful research and effective science education.
A collaboration of the Schoodic Institute, the University of Maine, and Maine Sea Grant
Main menu
Home
Do Projects
Data Literacy
Snowpack
Mercury in Watersheds
Nitrogen Cycling in Watersheds
Culverts & Stream Ecology
Search for Activities
Data Activities
Curriculum Activities
Videos
Student Research Posters
Align with Standards
Common Core Math standards
Common core ELA standards
NGSS Crosscutting concepts
NGSS Earth and Space Sciences
NGSS Life Sciences
NGSS Physical Sciences
NGSS Science and Engineering Practices
About
Acadia Learning Team
Schoodic Institute
How to Use This Site
Search form
Search
Practice correlating with precipitation data
Interpret frequency plots to compare the monthly rainfall in Greenville and at Acadia.
Details
Activity Type:
Mini-Lesson
Types of Instruction:
Data Practice
Grades:
6, 7, 8
Subjects:
Earth Science
Topics:
Earth's Surface Systems, Weather and Climate
Statistical Concepts:
Group comparison, Variability
Skills:
Comparing groups
Graph Types:
Box plot, Dot plot
Standards:
Practice 4
Analyzing and interpreting data
Practice 5
Using mathematics and computational thinking
Practice 7
Engaging in argument from evidence
Crosscutting 1
Patterns
Crosscutting 3
Scale, proportion, and quantity
HS-ESS2-4
Use a model to describe how variations in the flow of energy into and out of Earth's systems result in changes in climate.
6.SP-1
Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers.
6.SP-2
Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.
6.SP-4
Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
7.SP.3
Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability.
8.SP-1
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
Literacy.RI.6.4
Determine the meaning of words and phrases as they are used in a text, including figurative, connotative, and technical meanings.
Literacy.RI.7.4
Determine the meaning of words and phrases as they are used in a text, including figurative, connotative, and technical meanings; analyze the impact of a specific word choice on meaning and tone.
Literacy.W.8.4
Produce clear and coherent writing in which the development, organization, and style are appropriate to task, purpose, and audience.
Literacy.RST.6-8.4
Determine the meaning of symbols, key terms, and other domain-specific words and phrases as they are used in a specific scientific or technical context relevant to grades 6-8 texts and topics.
Literacy.RST.6-8.7
Integrate quantitative or technical information expressed in words in a text with a version of that information expressed visually (e.g., in a flowchart, diagram, model, graph, or table).
Literacy.RST.9-10.4
Determine the meaning of symbols, key terms, and other domain-specific words and phrases as they are used in a specific scientific or technical context relevant to grades 9-10 texts and topics.
Activity Files
Data Activity :
Mini Lesson 3 (PRAC) Acadia and Greenville Precipitation
Data Sets:
Acadia and Greenville Precipitation Data (xlsx)
Acadia and Greenville Precipitation Data (xls)
Data Literacy Instructionals:
Anatomy of a box plot
Graph Choice Chart
Anatomy of a scatter plot
Language for describing relationships (correlation document)
Language for describing correlations (slideshow)
Partners