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Georgia

Unit 6 Frameworks 
All of Unit 6 
Unit 61: 
Central Tendencies. (Doc, PDF, Key)
Georgia Standards of Excellence (Click to Expand)
MGSE912.S.ID.2: Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, mean absolute deviation, standard deviation) of two or more different data sets.
MGSE912.S.ID.3:Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
Video Lessons: (p12, p3, p4, p5)
Sample Quiz: (Interactive, PDF)


Unit 62: 
Measures of Variation (Doc, PDF, Key)
Georgia Standards of Excellence (Click to Expand)
MGSE912.S.ID.2: Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, mean absolute deviation, standard deviation) of two or more different data sets
MGSE912.S.ID.3: Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
MGSE912.S.ID.5 Summarize categorical data for two categories in twoway frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.
Fathom Lab Files: (Mean Demo, Std. Dev Demo)
Video Lessons: (p1, p2, p3, p4)
Sample Quiz: (Interactive, PDF) 

Unit 63: 
1Variable Data Graphs (Doc, PDF, Key)
Georgia Standards of Excellence (Click to Expand)
MGSE912.S.ID.1:Represent data with plots on the real number line (dot plots, histograms, and box plots).
MGSE912.S.ID.2: Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, mean absolute deviation, standard deviation) of two or more different data sets
MGSE912.S.ID.3:Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
Video Lessons: (p1, p2, p3, p4)
Sample Quiz: (Interactive, PDF) 

Unit 64: 
2Variable Data Statistics (Doc, PDF, Key)
Georgia Standards of Excellence (Click to Expand)
MGSE912.S.ID.6:Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
MGSE912.S.ID.6c:Using given or collected bivariate data, fit a linear function for a scatter plot that suggests a linear association.
MGSE912.S.ID.7: Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data
MGSE912.S.ID.8 Compute (using technology) and interpret the correlation coefficient “r” of a linear fit. (For instance, by looking at a scatter plot, students should be able to tell if the correlation coefficient is positive or negative and give a reasonable estimate of the “r” value.) After calculating the line of best fit using technology, students should be able to describe how strong the goodness of fit of the regression is, using “r”.
Video Lessons: (p1, p2, p3, p4, p5)
Sample Quiz: (Interactive, PDF) 

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