Home > GSE Algebra 1 >Unit 6 - Describing Data
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Georgia
Unit 6 Frameworks All of Unit 6
Unit 6-1: Central Tendencies. (Doc, PDF, Key)
Georgia Standards of Excellence (Click to Expand)

MGSE9-12.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.

MGSE9-12.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: (p1-2, p3, p4, p5)

Sample Quiz: (Interactive, PDF)

06-01
Unit 6-2: Measures of Variation (Doc, PDF, Key)
Georgia Standards of Excellence (Click to Expand)

MGSE9-12.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

MGSE9-12.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).

MGSE9-12.S.ID.5 Summarize categorical data for two categories in two-way 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)
06-02
Unit 6-3: 1-Variable Data Graphs (Doc, PDF, Key)
Georgia Standards of Excellence (Click to Expand)

MGSE9-12.S.ID.1:Represent data with plots on the real number line (dot plots, histograms, and box plots).

MGSE9-12.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

MGSE9-12.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)
06-03
Unit 6-4: 2-Variable Data Statistics (Doc, PDF, Key)
Georgia Standards of Excellence (Click to Expand)

MGSE9-12.S.ID.6:Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

MGSE9-12.S.ID.6c:Using given or collected bi-variate data, fit a linear function for a scatter plot that suggests a linear association.

MGSE9-12.S.ID.7: Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data

MGSE9-12.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)
06-04
TEST: Testing Item Banks for Exam View

(109 available questions for Unit 6)


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ExamView Video Instructions (How To Make a Test)

06-05

GO TO EOC Review

  Contact Information: Matt Winking