Critical Thinking: Analyze and interpret statistical data to make informed decisions.
Communication: Present and explain statistical findings using appropriate visual and numerical methods.
Learner’s Mindset: Show curiosity and willingness to explore and understand statistical concepts, including the handling of outliers.
How do we display data graphically using stemplots, histograms, and box plots to interpret information?
What are the measures of location such as quartiles and percentiles, and how do we calculate them?
How do we calculate and interpret the measures of the center (mean, median, mode) and spread (variance, standard deviation, range) of data, including the identification and impact of outliers?
Display data graphically and interpret stemplots, histograms, and box plots.
Recognize, describe, and calculate the measures of location: quartiles and percentiles.
Recognize, describe, and calculate the measures of center and spread: mean, median, mode, variance, standard deviation, range, and identify outliers.
Display data graphically and interpret stemplots, histograms, and box plots.
Recognize, describe, and calculate the measures of location: quartiles and percentiles.
Recognize, describe, and calculate the measures of center and spread: mean, median, mode, variance, standard deviation, range, and identify outliers.
CCSS.Math.Content.HSS.ID.A.1: Represent data with plots on the real number line (dot plots, histograms, and box plots).
CCSS.Math.Content.HSS.ID.A.2: Use statistics appropriate to the shape of the data distribution to compare measures of center and spread.
CCSS.Math.Content.HSS.ID.A.3: Interpret differences in shape, center, and spread in data distributions, including the presence of outliers.
TI-84 Calculator Guides: Tutorials for creating and interpreting statistical graphs.
Desmos: Online tools for plotting and visualizing data.
Khan Academy: Lessons on descriptive statistics, including graphical displays and measures of location, center, and spread.
Textbooks and Practice Problems: Comprehensive resources with examples and exercises on descriptive statistics, including the identification of outliers.
Openstax Introductory Statistics
[Our Hidden Google Drive Resource link]