Probability - 15 days
Develop understanding of statistical variability.
NC.7.SP.5: Understand that the probability of a chance event is a number between 0 and 1 that
expresses the likelihood of the event occurring
NC.7.SP.6:Collect data to calculate the experimental probability of a chance event, observing its long-
run relative frequency. Use this experimental
probability to predict the approximate relative frequency.
NC.7.SP.7: Develop a probability model and use it to find probabilities of simple events.
a. Develop a uniform probability model by assigning equal probability to all outcomes, and use the
model to determine probabilities of
b. Develop a probability model (which may not be uniform) by repeatedly performing a chance process
and observing frequencies in the
c. Compare theoretical and experimental probabilities from a model to observed frequencies; if the
agreement is not good, explain
possible sources of the discrepancy.
NC.7.SP.8: Determine probabilities of compound events using organized lists, tables, tree diagrams,
a. Understand that, just as with simple events, the probability of a compound event is the fraction of
outcomes in the sample space for
which the compound event occurs.
b. For an event described in everyday language, identify the outcomes in the sample space which
compose the event, when the sample
space is represented using organized lists, tables, and tree diagrams.
c. Design and use a simulation to generate frequencies for compound events.
Geometry - 25 days
Draw, construct, and describe geometrical figures and describe the relationships between
NC.7.G.2 Understand the characteristics of angles and side lengths that create a unique triangle, more
than one triangle or no triangle. Build triangles from
three measures of angles and/or sides.
DC.7.G.5 Use facts about supplementary, complementary, vertical, and adjacent angles in a multi-step
problem to write and solve equations for an unknown angle in a figure.
Draw, construct, and describe geometrical figures and describe the relationships between them.
NC.7.G.6 Solve real-world and mathematical problems involving:
• Area and perimeter of two-dimensional objects composed of triangles, quadrilaterals, and polygons.
• Volume and surface area of pyramids, prisms, or three-dimensional objects composed of cubes,
pyramids, and right prisms.
Solve real-world and mathematical problems involving angle measure, area, surface area, and
NC.7.G.4 Understand area and circumference of a circle.
• Understand the relationships between the radius, diameter, circumference, and area.
• Apply the formulas for area and circumference of a circle to solve problems.
Statistics -15 days
Use random sampling to draw inferences about a population.
NC.7.SP.1 Understand that statistics can be used to gain information about a population by:
• Recognizing that generalizations about a population from a sample are valid only if the sample is
representative of that population.
• Using random sampling to produce representative samples to support valid inferences.
NC.7.SP.2 Generate multiple random samples (or simulated samples) of the same size to gauge the
variation in estimates or predictions, and use this data to
draw inferences about a population with an unknown characteristic of interest.
Make informal inferences to compare two populations.
NC.7.SP.3 Recognize the role of variability when comparing two populations.
a. Calculate the measure of variability of a data set and understand that it describes how the values of
the data set vary with a single number.
o Understand the mean absolute deviation of a data set is a measure of variability that describes the
average distance that points within a data set are
from the mean of the data set.
o Understand that the range describes the spread of the entire data set.
o Understand that the interquartile range describes the spread of the middle 50% of the data.
b. Informally assess the difference between two data sets by examining the overlap and separation
between the graphical representations of two data sets.
NC.7.SP.4 Use measures of center and measures of variability for numerical data from random
samples to draw comparative inferences about