Department ( Math AD )
Week
Week 5
Quarter (4)
Quarter
Day
Lesson
Mean
Day Absolute
1, 2 Deviation
Grade (6)
Learning target ( goal)
Students will
describe mean
absolute deviation
using and without
using mean,
absolute, and
deviation.
Curriculum Plan 2023/2024
CCSS
6.SP.A.3
Recognize that a
measure of center for a
numerical data set summarizes
all of its values with a single
number, while a measure of
variation describes how its values
vary with a single number.
6.SP.B.5 Summarize numerical
data sets in relation to their
context, such as by:
6.SP.B.5.A Reporting the
number of observations.
6.SP.B.5.B Describing the
nature of the attribute under
investigation, including how it
was measured and its units of
measurement6.SP.B.5.C Giving
quantitative measures of center
(median and/or mean) and
variability (interquartile range
and/or mean absolute deviation),
as well as describing any overall
pattern and any striking
deviations from the overall
pattern with reference to the
context in which the data were
gathered..
Mathematical
background
The spread of a data
set can be described
using the mean
absolute deviation.
This measure of
spread describes the
average distance
between each data
value and the mean.
Higher values of the
mean absolute
deviation indicate
higher levels of
spread. To calculate
the mean absolute
deviation, first
calculate the mean.
Find the distance
between each data
value and the mean by
subtracting. Finally,
divide the sum of the
results by the number
of data values.
Pacing
( time for
sessiions)
45
minutes
Q4
Vertical
alignment
Previous
Students
understood
interquartile
range and
created box
plots.
(6.SP.A.2,
6.SP.A.3,
6.SP.B.4,
6.SP.B.5,
6.SP.B.5.C)
Now Students
understand
mean absolute
deviation.
(6.SP.A.3,
6.SP.B.5,
6.SP.B.5.A,
6.SP.B.5.B,
6.SP.B.5.C)
Next Students
will understand
outliers and
their effect on
measures of
center.
(6.SP.A.3,
6.SP.B.4,
6.SP.B.5,
6.SP.B.5.C,
6.SP.B.5.D)
Week 5
ASSESSMENTS
MP1 Make sense of problems and
persevere in solving them.
MP2 Reason abstractly and
quantitatively.
MP3 Construct viable arguments
and critique the reasoning of
others.
MP6 Attend to precision.
Vision Statement
The Vision of Mansoura College American School is to nurture lifelong learners and global thinkers to become responsible citizens with leadership qualities and universal values while
instilling pride in one's cultural identity.
Mission Statement
The Mission of Mansoura College American School is to provide students with a challenging educational environment within an international community focusing on a global
curriculum, integrated with technology, and a plethora of extracurricular activities to meet students’ individual needs.
6.SP.A.3 Recognize that a
measure of center for a
numerical data set summarizes
all of its values with a single
number, while a measure of
variation describes how its
values vary with a single
number.
6.SP.B.4 Display numerical
data in plots on a number line,
including dot plots, histograms,
and box plots.
Day
3,4
Outliers
Students will describe outliers’
effects on measures of center
using subordinating
conjunctions like because, so,
and since.
6.SP.B.5 Summarize numerical
data sets in relation to their
context, such as by:
6.SP.B.5.C Giving quantitative
measures of center (median
and/or mean) and variability
(interquartile range and/or
mean absolute deviation), as
well as describing any overall
pattern and any striking
deviations from the overall
pattern with reference to the
context in which the data were
gathered.
6.SP.B.5.D Relating the choice
of measures of center and
variability to the shape of the
data distribution and the context
in which the data were gathered
Day
5
An outlier is a data
value that is too far
below or too far above
the other values in the
set. To identify
outliers, first calculate
the interquartile
range. If any data
value is less than 1.5
times the interquartile
range below the first
quartile or greater
than 1.5 times the
interquartile range
above the third
quartile, it is
considered an outlier.
It is often useful to
choose a measure of
center that is least
affected by outliers,
but in general, if the
data has no extreme
values, use the mean
and mean absolute
deviation. If the data
have extreme values
and there are no big
gaps in the middle,
use the median and
interquartile range. If
the data are not
represented
numerically or there
are many repeated
values, use mode.
90 minutes
Previous
Students
understood
mean absolute
deviation.
(6.SP.A.3,
6.SP.B.5,
6.SP.B.5.A,
6.SP.B.5.B,
6.SP.B.5.C)
Now Students
understand
outliers and
their effect on
measures of
center.
(6.SP.A.3,
6.SP.B.4,
6.SP.B.5,
6.SP.B.5.C,
6.SP.B.5.D)
Next Students
will interpret
dot plots,
histograms,
and box plots.
(6.SP.A.2,
6.SP.A.3,
6.SP.B.4,
6.SP.B.5,
6.SP.B.5.A,
6.SP.B.5.B,
6.SP.B.5.C,
6.SP.B.5.D)
MP2 Reason abstractly and
quantitatively.
MP3 Construct viable arguments and
critique the reasoning of others.
MP4 Model with mathematics.
MP5 Use appropriate tools
strategically.
MP6 Attend to precision.
Quiz
Vision Statement
The Vision of Mansoura College American School is to nurture lifelong learners and global thinkers to become responsible citizens with leadership qualities and universal values while
instilling pride in one's cultural identity.
Mission Statement
The Mission of Mansoura College American School is to provide students with a challenging educational environment within an international community focusing on a global
curriculum, integrated with technology, and a plethora of extracurricular activities to meet students’ individual needs.