All Lessons

(A) Distinguish between categorical and quantitative data

(Y11-12) Identify examples of categorical data (ACMEM043)

(Y11-12) Identify examples of numerical data (ACMEM044)

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.

(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.

(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.