6.P.3 Understand characteristics of energy transfer and interactions of matter and energy.
6.P.3.3 Explain the suitability of materials for use in technological design based on a response to heat (to include conduction, expansion, and contraction) and electrical energy (conductors and insulators).
6.L.2 Understand the flow of energy through ecosystems and the responses of populations to the biotic and abiotic factors in their environment.
6.L.2.2 Explain how plants respond to external stimuli (including dormancy and forms of tropism) to enhance survival in an environment.
6.L.2.3 Summarize how the abiotic factors (such as temperature, water, sunlight, and soil quality) of biomes (freshwater, marine, forest, grasslands, desert, Tundra) affect the ability of organisms to grow, survive and/or create their own food through photosynthesis.
CCR Anchor Standard RI.1 – Read closely to determine what the text says explicitly and to make logical inferences from it; cite specific textual evidence when writing or speaking to support conclusions drawn from the text.
RI.6.1 Analyze a text to determine what it says explicitly as well as what inferences should be drawn.
CCR Anchor Standard RI.8 – Delineate and evaluate the argument and specific claims in a text, including the validity of the reasoning as well as the relevance and sufficiency of the evidence.
RI.6.8 Determine claims in a text that are and are not supported by reasons or evidence.
CCR Anchor Standard W.1 – Write arguments to support claims in an analysis of substantive topics or texts, using valid reasoning and relevant and sufficient evidence.
W.6.1. Write claims about topics or text.
a. Write a claim about a topic or text.
b. Write one or more reasons to support a claim about a topic or text
CCR Anchor Standard W.5 – Conduct short as well as more sustained research projects based on focused questions, demonstrating understanding of the subject under investigation.
W.6.5 Conduct short research projects to answer a question.
CCR Anchor Standard SL.4 – Present information, findings, and supporting evidence such that listeners can follow the line of reasoning and the organization, development, and style are appropriate to task, purpose, and audience.
SL.6.4 Communicate findings including descriptions, facts, or details related to main idea or theme.
CCR Anchor Standard SL.5 – Make strategic use of digital media and visual displays of data to express information and enhance understanding of presentations.
SL.6.5 Select an auditory, visual, or tactual display to clarify the information in presentations.
CCR Anchor Standard L.3 – Apply knowledge of language to understand how language functions in different contexts, to make effective choices for meaning or style, and to comprehend more fully reading or listening.
L.6.3 Use language to achieve desired outcomes by attempting to repair communication when a reader or listener does not understand the initial attempt.
NC.6.RP.4 Use ratio reasoning to solve real-world and mathematical problems with percents by:
• Understanding and finding a percent of a quantity as a ratio per 100.
• Using equivalent ratios, such as benchmark percents (50%, 25%, 10%, 5%, 1%), to determine a part of any given quantity.
• Finding the whole, given a part and the percent.
NC.6.NS.1 Use visual models and common denominators to:
• Interpret and compute quotients of fractions.
• Solve real-world and mathematical problems involving division of fractions
NC.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.
NC.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.
NC.6.SP.3 Understand that both a measure of center and a description of variability should be considered when describing a numerical data set.
a. Determine the measure of center of a data set and understand that it is a single number that summarizes all the values of that data set.
- Understand that a mean is a measure of center that represents a balance point or fair share of a data set and can be influenced by the presence of extreme values within the data set.
- Understand the median as a measure of center that is the numerical middle of an ordered data set.
b. Understand that describing the variability of a data set is needed to distinguish between data sets in the same scale, by comparing graphical representations of different data sets in the same scale that have similar measures of center, but different spreads.
NC.6.SP.4 Display numerical data in plots on a number line.
• Use dot plots, histograms, and box plots to represent data.
• Compare the attributes of different representations of the same data.
NC.6.SP.5 Summarize numerical data sets in relation to their context.
a. Describe the collected data by:
- Reporting the number of observations in dot plots and histograms.
- Communicating the nature of the attribute under investigation, how it was measured, and the units of measurement.
b. Analyze center and variability by:
- Giving quantitative measures of center, describing variability, and any overall pattern, and noting any striking deviations.
- Justifying the appropriate choice of measures of center using the shape of the data distribution.