Name ___________________________________
Data Analysis Project Rubric
Unsatisfactory
(0 points)
No survey
Needs Improvement
(1 point)
Survey is of less than
20 people
Satisfactory
(2 points)
Survey is of 20-29
people
Exemplary
(3 points)
Survey is of 30 or
more people
Neither is recorded
Circle Graph is done
without a data
statement
Circle Graph is
done with an
incorrect data
statement
Circle Graph is
done and a
correct data
statement is given
Neither is recorded
Histogram is done
without a data
statement
Histogram is done
with an incorrect
data statement
Histogram is done
and a correct data
statement is given
Neither is recorded
Stem and Leaf Plot is
done without a data
statement
Stem and Leaf Plot
is done with an
incorrect data
statement
Stem and Leaf Plot
is done and a
correct data
statement is given
Neither is recorded
Box and Whisker
Plot is done without
a data statement
Box and Whisker
Plot is done with
an incorrect data
statement
Box and Whisker
Plot is done and a
correct data
statement is given
Individual Analysis
No Individual
Analysis Done
1-2 valid sentences
about the individual
data
3-4 valid
sentences about
the individual data
5 or more valid
sentences about
the individual data
Group Analysis
No Group Analysis
Done
1 valid sentence
about the group
data
2 valid sentences
about the group
data
3 or more valid
sentences about
the group data
Organizer
Completed
No information is
in the organizer
Some information is
in the organizer
Most information
is in the organizer
All information is
in the organizer
Name on Project
No name on
project
Survey Complete
Circle Graph and
Data Statement
Histogram and
Data Statement
Stem and Leaf Plot
and Data
Statement
Box and Whisker
Plot and Data
Statement
Name on Project
Total Points:
/ 25
7.DSP.1:
Understand that statistics can be used to gain information about a population by
examining a sample of the population and generalizations about a population from a
sample are valid only if the sample is representative of that population. Understand that
random sampling tends to produce representative samples and support valid
inferences.
7.DSP.2:
Use data from a random sample to draw inferences about a population. Generate
multiple samples (or simulated samples) of the same size to gauge the variation in
estimates or predictions.
7.DSP.3:
Find, use, and interpret measures of center (mean and median) and measures of
spread (range, interquartile range, and mean absolute deviation) for numerical data
from random samples to draw comparative inferences about two populations.
7.DSP.4:
Make observations about the degree of visual overlap of two numerical data
distributions represented in line plots or box plots. Describe how data, particularly
outliers, added to a data set may affect the mean and/or median.