Grade 7 August 2022
Maryland College and Career Ready Standards for Mathematics
Maryland State Department of Education 5
7.SP.B DRAW INFORMAL COMPARATIVE INFERENCES ABOUT TWO POPULATIONS.
7.SP.B.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. For example, the mean height
of players on the basketball team is 10 cm greater than the mean height of players
on the soccer team, about twice the variability (mean absolute deviation) on either
team; on a dot plot, the separation between the two distributions of heights is
noticeable.
7.SP.B.4 Use measures of center and measures of variability for numerical data from random
samples to draw informal comparative inferences about two populations. For
example, decide whether the words in a chapter of a seventh-grade science book
are generally longer than the words in a chapter of a fourth-grade science book.
7.SP.C INVESTIGATE CHANCE PROCESSES AND DEVELOP, USE, AND EVALUATE
PROBABILITY MODELS.
7.SP.C.5 Understand that the probability of a chance event is a number between 0 and 1 that
expresses the likelihood of the event occurring. Larger numbers indicate greater
likelihood. A probability near 0 indicates an unlikely event, a probability around
indicates an event that is neither unlikely nor likely, and a probability near 1
indicates a likely event.
7.SP.C.6 Approximate the probability of a chance event by collecting data on the chance
process that produces it and observing its long-run relative frequency, and predict
the approximate relative frequency given the probability. For example, when rolling
a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times,
but probably not exactly 200 times.
7.SP.C.7 Develop a probability model and use it to find probabilities of events. Compare
probabilities from a model to observed frequencies; if the agreement is not good,
explain possible sources of the discrepancy.
a. Develop a uniform probability model by assigning equal probability to all
outcomes, and use the model to determine probabilities of events. For
example, if a student is selected at random from a class, find the probability
that Jane will be selected and the probability that a girl will be selected.
b. Develop a probability model (which may not be uniform) by observing
frequencies in data generated from a chance process. For example, find the
approximate probability that a spinning penny will land heads up or that a
tossed paper cup will land open-end down. Do the outcomes for the spinning
penny appear to be equally likely based on the observed frequencies?