Unit 1: Data and Statistics
Report Card Domain
Statistics and Probability: Understands statistical variability, summarizes and describes distributions.
Topic 1: Statistical Variability
Develop an understanding of statistical variability.
Learning Targets:
- I can distinguish between statistical and non statistical questions, and numerical and categorical questions.
- I can calculate measures of center (mean, median, and mode), and measures of spread (range and IQR).
- I can identify an outlier and describe the shape of a data set.
Topic 2: Distributions
Summarize and describe distributions.
Learning Targets:
- I can display data using line plots, dot plots, histograms, box plots, and circle graphs.
- I can compare and contrast data sets.
Unit 1 Digital Resources
Learning Target #1: I can distinguish between statistical and non statistical questions, and numerical and categorical questions.
Slide Decks
Statistical and Non-Statistical Questions
Numerical and Categorical Data
IXL Practice
Identify Statistical Questions
Khan Academy
Learning Target #2: I can calculate measures of center (mean, median, and mode) and measures of spread (range and IQR).
Slide Decks
Measures of Center and Variability
IXL Practice
Calculate mean, median, mode, and range
Interpret charts and graphs to find mean, median, mode, and range
Calculate Quartiles and Interquartile Range (IQR)
Khan Academy
Calculating the mean: data displays
Calculating the median: data displays
Learning Target #3: I can identify an outlier and describe the shape of a data set.
IXL Practice
Identify an outlier and describe the effect of removing it
Learning Target #4: I can display data using line plots, dot plots, histograms, box plots and circle graphs.
Slide Decks
Line Plots, Dot Plots, and Circle Graphs
IXL Practice
Calculate Quartiles and Interquartile Range (IQR)
Describe Distributions in Line Plots
Khan Academy
Reading dot plots and frequency tables
Estimate center using dot plots
Estimate center using histograms
Learning Target #5: I can compare and contrast data sets.
Khan Academy