## Resources

MCC9-12.S.ID.1 Represent data with plots on the real number line (dot plots, histograms, and box plots). Choose appropriate graphs to be consistent with numerical data: dot plots, histograms, and box plots. (Walch Lesson 4.1.2 Pg. U4-16)

Powerpoint

Words to Know

MCC9-12.S.ID.2 Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation-Advanced Algebra) of two or more different data sets. Include review of Mean Absolute Deviation as a measure of variation. (Walch Lesson 4.1.3 Pg. U4-28)

Measures of center and spread

Powerpoint

Quiz on interquartile range (IQR) - for extra practice

MCC9-12.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). Students will examine graphical representations to determine if data are symmetric, skewed left, or skewed right and how the shape of the data affects descriptive statistics. (Walch Lesson 4.1.4 Pg. U4-40)

How to compare distributions (handout)

MCC9-12.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. (Walch Lesson 4.2.1 Pg. U4-54)

Powerpoint

S.ID. 5-6 Words to know (handout)

MCC9-12.S.ID.6 Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

MCC9-12.S.ID.6a Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models. (Walch Lesson 4.2.2 Pg. U4-63)

MCC9-12.S.ID.6b Informally assess the fit of a function by plotting and analyzing residuals. (Walch Lesson 4.2.3 Pg. U4-77)

Residuals Powerpoint

MCC9-12.S.ID.6c Fit a linear function for a scatter plot that suggests a linear association. (Walch Lesson 4.2.4 Pg. U4-93)

MCC9-12.S.ID.7 Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.

(Walch Lesson 4.3.1 Pg. U4-109)

MCC9-12.S.ID.8 Compute (using technology) and interpret the correlation coefficient of a linear fit.

(Walch Lesson 4.3.2 Pg. U4-122)

MCC9-12.S.ID.9 Distinguish between correlation and causation. (Walch Lesson 4.3.3 Pg. U4-135)

Powerpoint

Words to Know

MCC9-12.S.ID.2 Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation-Advanced Algebra) of two or more different data sets. Include review of Mean Absolute Deviation as a measure of variation. (Walch Lesson 4.1.3 Pg. U4-28)

Measures of center and spread

Powerpoint

Quiz on interquartile range (IQR) - for extra practice

MCC9-12.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). Students will examine graphical representations to determine if data are symmetric, skewed left, or skewed right and how the shape of the data affects descriptive statistics. (Walch Lesson 4.1.4 Pg. U4-40)

How to compare distributions (handout)

MCC9-12.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. (Walch Lesson 4.2.1 Pg. U4-54)

Powerpoint

S.ID. 5-6 Words to know (handout)

MCC9-12.S.ID.6 Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

MCC9-12.S.ID.6a Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models. (Walch Lesson 4.2.2 Pg. U4-63)

MCC9-12.S.ID.6b Informally assess the fit of a function by plotting and analyzing residuals. (Walch Lesson 4.2.3 Pg. U4-77)

Residuals Powerpoint

MCC9-12.S.ID.6c Fit a linear function for a scatter plot that suggests a linear association. (Walch Lesson 4.2.4 Pg. U4-93)

MCC9-12.S.ID.7 Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.

(Walch Lesson 4.3.1 Pg. U4-109)

MCC9-12.S.ID.8 Compute (using technology) and interpret the correlation coefficient of a linear fit.

(Walch Lesson 4.3.2 Pg. U4-122)

MCC9-12.S.ID.9 Distinguish between correlation and causation. (Walch Lesson 4.3.3 Pg. U4-135)