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Ready for the Bell math lessons provide a comprehensive set of print, multimedia resources, assessments and real world learning explorations.
This unit bundle includes all 8 complete Statistics lesson packets plus Unit Assessment tests and answer keys. This bundle includes:
- 113 page teacher guide set
- 438 pages of teaching materials and student lessons and workbook
- contextual animated video
- 5 instructional notepad tutorial videos
- 4 concept instructional videos
- 4 concept presentation ppts with teaching notes
- 8 lesson quizzes
- 1 unit assessments
- 17 answer keys
The lesson instructional design recognizes a new generation of learners, ones that expect multi-media, multi-modal learning opportunities and have the ability to access, research, and master knowledge creation opportunities whether they are at school or at home. At the same time as providing current and multi-modal instructional methods and resources, the lesson provides options for teaching with technology in classrooms that have no tech, some tech or more tech.
DOWNLOAD THE PREVIEW ABOVE to review the components included in each Lesson packet.
Common Core Alignment
Develop understanding of statistical variability.
Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, "How old am I?" is not a statistical question, but "How old are the students in my school?" is a statistical question because one anticipates variability in students' ages.
Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.
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.
Summarize and describe distributions.
Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
Summarize numerical data sets in relation to their context, such as by:
Reporting the number of observations.
Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
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.
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