Unit 6
Describing Data
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IN THIS UNIT, STUDENTS WILL BE EXPECTED TO:
 Represent data with plots on the real number line (dot plots, histograms, and box plots).
 Use statistics appropriate to the shape of the data distribution to compare center and spread of two or more different data sets.
 Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data
points (outliers).
 Examine graphical representations to determine if data are symmetric, skewed left, or skewed right and how the shape of the
data affects descriptive statistics.
 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. Represent data on two quantitative variables on a scatter plot, and
describe how the variables are related.
 Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Uses given functions or choose
a function suggested by the context.
 Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.
 Compute (using technology) and interpret the correlation coefficient of a linear fit.
 Distinguish between correlation and causation.
 Represent data with plots on the real number line (dot plots, histograms, and box plots).
 Use statistics appropriate to the shape of the data distribution to compare center and spread of two or more different data sets.
 Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data
points (outliers).
 Examine graphical representations to determine if data are symmetric, skewed left, or skewed right and how the shape of the
data affects descriptive statistics.
 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. Represent data on two quantitative variables on a scatter plot, and
describe how the variables are related.
 Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Uses given functions or choose
a function suggested by the context.
 Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.
 Compute (using technology) and interpret the correlation coefficient of a linear fit.
 Distinguish between correlation and causation.