Chapter 13 - Variability & Data Distributions
Chapter 13 - Variability and Data Distributions
6.SP.A.2 - 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.
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 it 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.
6.SP.B.5 - Summarice numerical data sets in relation to their context such as by:
6.SP.B.5c - 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.5d - Relating the choice of measure of center variability to the shape of the data distribution and the context in which the data were gathered.
Lesson 13.1 - Patterns in Data
- Students will be able to describe overall patterns in data, including clusters, peaks, gaps, symmetry.
Lesson 13.2 - Box Plots
- Students will be able to display data in box plots.
- GG.19 - Interpret box-and-whisker plots
Lesson 13.3 - Investigate: Mean Absolute Deviation
- Students will be able to understand mean absolute deviation as a measure of variability from the mean.
Lesson 13.4 - Measures of Variability
- Students will be able to summarize a data set by using range interquartile range, and mean absolute deviation.
Lesson 13.5 - Choose Appropriate Measures of Center and Variability
- Students will be able to choose appropriate measures of center and variability to describe data, and justify the choice.
IXL Practice
- HH.1 - Calculate mean, media
Lesson 13.6 - Apply Measures of Center and Variability
- Students will be able to recognize what measures of center and variability indicate about a data set.