<p>Crosscutting Concepts<br>
            <ul><p>Patterns<br>
                <ul><li>Patterns in the natural and human designed world can be observed and used as evidence (K-LS1-1),(1-LS1-2),(1-LS3-1)</li>
                    <li>Similarities and differences in patterns can be used to sort and classify natural phenomena (3-LS3-1)</li>
                    <li>Patterns of change can be used to make predictions. (3-LS1-1)</li>
                    <li>Graphs, charts and images can be used to identify patterns in data (MS-ESS3-2)</li>
                    <li>Patterns can be used to identify cause and effect relationships (MS-LS2-2)</li></ul></p>
                <p>Cause and Effect<br>
                <ul><li>Events have causes that generate observable patterns (K-ESS3-3),(2-LS2-1)</li>
                    <li>Cause and effect relationships are routinely identified and used to explain change. (3-LS3-2), (3-LS4-2), 94-ESS3-1)</li>
                    <li>Relationships can be classified as causal or correlational, and correlation does not necessarily imply causation.(MS-ESS3-3)</li>
                    <li>Cause and effect relationships may be used to predict phenomena in natural or designed systems. (MS-ESS3-4), (MS-LS2-1)</li>
                    <li>Empirical evidence is required to differentiate between cause and correlation and make claims about specific causes and effects. (HS-LS2-8),(HS-LS4-6),(HS-ESS3-1)</li></ul></p>
                <p>