Q1W9 Honors 6th Grade Math
STEM Punkin Chunkin Challenge
|Subject Area||Honors Math|
|Unit of Instruction||Statistics and Probability|
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:
a. reporting the number of observations.
b. describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
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.
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.
|Learning Targets and Learning Criteria|
- organize and display data as a line plot or dot plot, histogram, and/or box plot.
- Given a box plot, students summarize the data by the 5-number summary (Min, Q1, Median, Q3, Max.)
- describe a set of data using the 5-number summary and the interquartile range.
- construct a box plot from a 5-number summary.
- identify the similarities and differences of representing the same data in a line plot, a histogram, or a box plot.
- decide and explain which type of plot (dot plot, line plot, histogram, or box plot) is the best way to display my data depending on what I want to communicate about the data.
- understand that the mean is a balance point by calculating the distances of the data points from the mean and call the distances, deviations.
• understand that the mean is the value such that the sum of the deviations is equal to zero.
• write a data collection summary (5 number summary) that includes the number of observations, what is being investigated, how it is measured, and the units of measurement.
• justify the use of a measure of center or measure of variability based on the shape of the data.
• use a measure of center and a measure of variation to draw inferences about the shape of the data distribution.
• describe overall patterns and any deviations in the data and how they relate to the context of the problem.
This week we are continuing our Statistics unit with notebook and other classroom activities. We will have our hands on experience collecting data and catapulting pumpkins. This will help show real-world data collecting and applying our statistical concepts.
We will be using the attached worksheet to collect and display our data. This worksheet will be due on Thursday October, 26.
If additional help is needed, students are encouraged to view a lesson regarding a given topic on Khan Academy. This website is free and provides both video instruction as well as practice problems.
Students are able to complete additional practice on both Mathspace and IXL
Teacher Contact information:
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