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.