Standards & Objectives
Earth Science Algebra 1 Algebra 2 Advanced Mathematics AP Statistics
Science as Inquiry
CONTENT STANDARD A: As a result of activities in grades 9-12, all students should develop:
Earth and Space Science
CONTENT STANDARD D: As a result of their activities in grades 9-12, all students should develop an understanding of
Science and Technology
CONTENT STANDARD E: As a result of activities in grades 9-12, all students should develop
Grades 9-12:
Goal 5: The learner will build an understanding of the dynamics and composition of the atmosphere and its local and global influencing climate and air quality.
Objectives:
Analyze the structure of the atmosphere: temperature, pressure, water vapor, atmospheric transparency.
Analyze weather systems: movement, humidity, cloud formation, precipitation.
Analyze air masses and the life cycle of weather systems: air masses, frontal systems, hazardous weather, warning systems and their effectiveness.
Evaluate meteorological observing, analysis, and prediction: worldwide observing systems, meteorological data depiction.
NC State Math Competency Goals & Objectives:
Data Analysis and Probability
Formulate questions that can be addressed with data and collect, organize, and display relevant data to answer them.
Select and use appropriate statistical methods to analyze data.
Develop and evaluate inferences and predictions that are based on data.
Understand and apply basic concepts of probability
Goal 3: The learner will graph and use relations and functions to solve problems.
3.02 Identify properties and relationships of data in tables, graphs, and equations
3.04 Graph and interpret in the context of the problem, relations and functions on the coordinate plane. Include linear equations and inequalities, quadratics, and exponentials.
3.08 Use linear equations or inequalities to solve problems.
Goal 4: The learner will collect and interpret data to solve problems.
4.02 Recognize and identify linear and non-linear data.
4.03 Create and use linear models based on real data.
The learner will create and use models of data for reporting and analysis
4.02 Create and use mathematical models of linear, polynomial, exponential, trigonometric, power, and logarithmic functions to solve problems
4.03 Summarize distributions of univariate data to solve problems
The learner will operate with real numbers to summarize data
1.01 Summarize distributions of univariate data.
The learner will collect data in a well-developed plan and use probability to anticipate the distribution of data.
The learner will display data and use the display for analysis
2.01 Intrepret graphical displays of univariate data (dotplots, stemplots, histpograms) with attention to: a. Center and spread b. Clusters and gaps c. Outliers and other unusual features d. Shape
2.02 Compare distributions of univariate data (dot plots, back to back stemplots, parallel boxplots) by comparing a. Center and spread b. Clusters and gaps c. Outliers and other unusual features d. Shape
The learner will use best fit functions to study patterns and departures from patterns
3.01 Analyze bivariate data using: a. Scatterplots b. Correlation and linearity c. Least squares regression line d. Residual plots, outliers, and influential points e. Transformations to achieve linearity: logarithmic and power transformations The learner will collect data in a well-developed plan and use probability to anticipate the distribution of data.
4.01 Analyze categorical data using a. Frequency tables b. Marginal and joint frequencies for two way tables c. Conditional relative frequencies and association 4.05 Understand and use probability with a. Relative frequency definition of probability