Instructions: We’re going to crowd-source our review today.

Each student should enter at least two tips and as many questions as you have in the corresponding spaces below. If possible, prioritize giving tips for targets that either (a) do not not yet have any tips entered or (b) you feel especially confident with.

Suggestions for tips:

At 2pm (and throughout the day as I’m feeling up to it) I will log on and address any questions that have not yet been answered.

Please enter your initials after your tips and questions (JH).


Targets 1.1 through 1.5 (grounded in CCSS 6.SP):

1.1   I can calculate appropriate measures of center and variability for a given data set.

Questions:

Tips:


1.2   I can display numerical data in plots on a number line, including dot plots, histograms, and box plots.

Questions:

Tips:


1.3   I can relate my choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.

Questions:

Tips:


1.4   I can relate numerical summaries of data sets to their context, such as by:

Questions:

Tips:


1.5   I can use technology to perform statistical calculations and create graphs to summarize a data set.

Questions:

Tips:

 


Targets 2.1 through 2.7 (grounded in CCSS 8.SP):

2.1        I can describe when it is and is not appropriate to represent bivariate measurement data on a scatter plot, and I can create scatter plots (either by hand or by using appropriate technology).

Questions:

Tips:


2.2        I can use scatter plots to draw conclusions about patterns of association between two quantities, describing patterns such as: clustering, outliers, positive or negative association, and linear or nonlinear association.

Questions:

Tips:


2.3    I can use technology (e.g. Excel, Geogebra, Desmos, or a graphing calculator) to generate a least-squares linear regression equation for a scatter plot.

Questions:

Tips:


2.4    I can use technology (e.g. Geogebra or Desmos) to create a linear model with adjustable parameters for slope and y-intercept and use it to find an approximate best-fit line.

Questions:

Tips:


2.5        I can describe how well a linear model fits a scatter plot both formally and informally:

Questions:

Tips:


2.6    I can use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and y-intercept appropriately.

Questions:

Tips:


2.7   I can explore and describe possible patterns of association between two categorical variables collected from the same subjects by displaying relative frequencies in a two-way table and interpreting the results in context. (See CCSS.8.SP.4)

Questions:

Tips: