All Lessons

(F) Analyze categorical data, including determining marginal and conditional distributions, using two-way tables.

(Y11-12) Interpret information presented in two-way tables (ACMEM038)

HSS.IDA.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.

(A) Construct a scatterplot and describe the observed data to address questions of association such as linear, non-linear, and no association between bivariate data

(Y11-12) Describe the patterns and features of bivariate data (ACMEM138)

(Y11-12) Describe the association between two numerical variables in terms of direction (positive/negative), form (linear/non-linear) and strength (strong/moderate/weak) (ACMEM139)

HSS.IDA.6 Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

(A) Calculate, using technology, the correlation coefficient between two quantitative variables and interpret this quantity as a measure of the strength of the linear association

(Y11-12) Describe the patterns and features of bivariate data (ACMEM138)

(Y11-12) Describe the association between two numerical variables in terms of direction (positive/negative), form (linear/non-linear) and strength (strong/moderate/weak) (ACMEM139)

HSS.IDA.6 Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

(B) Use regression methods available through technology to write a linear function, a quadratic function, and an exponential function from a given set of data

(Y11-12) Use technology to find the line of best fit (ACMEM142)

HSS.IDA.6.C Fit a linear function for a scatter plot that suggests a linear association.