Discuss and understand the relationship between data
sets and their graphical representations (e.g., bar
graphs, line graphs, circle graphs, histograms,
stem-and-leaf plots, box plots, and scatterplots).

D

Make
conjectures and predictions based on data.

A

Use
proportional thinking to make conjectures about results
of experiments and simulations.

D

Make
conjectures to formulate new questions for future
studies.

D

Determine the probability for an outcome in an
experiment.

A

Connect the symbolic representation of a probability to
an experiment.

D

Construct a tree diagram to determine all possible
outcomes of a simple event.

Formulate questions, design studies, and collect
real-world data for investigations using a variety of
collection methods (e.g., random sampling and
simulations).

A

Interpret appropriate graphical representations of data
(i.e., histograms, box plots, and scatterplots).

D

Select, create, and use appropriate graphical
representations of real-world data (e.g., histograms,
box plots, and scatterplots).

D

Determine and interpret measures of center and spread
(e.g., mean, median, and interquartile range).

A

Determine the mean of a given set of real-world data.

A

Determine the median of a given set of real-world data
(even number of data).

I

Develop meaning for frequency, distribution, and
outliers.

A

Connect data sets and their graphical representations
(i.e., histograms, stem-and-leaf plots, box plots, and
scatterplots).

D

Connect data sets and their graphical representations
(e.g., bar graphs, line graphs, and circle graphs).

A

Make
conjectures and predictions based on data.

A

Recognize misleading presentations of data.

I

Develop meaning for lines of best fit.

A

Identifyan appropriate sample to test a given
hypothesis.

D

Make
conjectures to formulate new questions for future
studies.

I

Develop meaning of mutually exclusive events.

A

Connect the symbolic representation of a probability to
an experiment.

D

Use
a variety of methods to compute probabilities for
compound events (e.g., multiplication, organized lists,
tree diagrams, and/or area models).

I

Distinguish between theoretical and experimental
probability.

D

Find
the probability of dependent and independent events.