8.12B draw conclusions and 8.11A construct a scatterplot and P.3B use functions such a A2.8A analyze data to select the make predictions by analyzing describe the observed data to logarithmic, exponential, appropriate model from among trends in scatterplots address questions of association trigonometric, polynomial, etc. to linear, quadratic, and exponential such as linear, non-linear, and no model real-life data models association between bivariate data P.3C use regression to A2.8B use regression methods determine the appropriate of a available through technology to linear function to model real-life a linear function, a quadratic data (including using technology function, and an exponential to determine the correlation function from a given set of data coefficient) determine the mean 8.11B None absolute deviation and use this quantity as a measure of the average distance data are from the mean using a data set of no more than 10 data points 8.11C simulate generating None random samples of the same size from a population with characteristics to develop the notion of a random sample being representative of the population from which it was selected 8.12 The student applies mathematical process standards to develop an economic way of thinking and problem useful Instructional Considerations in one’s life as a knowledgeable consumer and investor. The student is expected to: Current TEKS New 8th grade TEKS Current TEKS New HS TEKS 2013-14 2014-15
8.12B draw conclusions and make predictions by analyzing trends in scatterplots 8.11A construct a scatterplot and describe the observed data to address questions of association such as linear, non-linear, and no association between bivariate data P.3B use functions such a logarithmic, exponential, trigonometric, polynomial, etc. to model real-life data P.3C use regression to determine the appropriate of a linear function to model real-life data (including using technology to determine the correlation coefficient) A2.8A analyze data to select the appropriate model from among linear, quadratic, and exponential models A2.8B use regression methods available through technology to a linear function, a quadratic function, and an exponential function from a given set of data 8.11B determine the mean absolute deviation and use this quantity as a measure of the average distance data are from the mean using a data set of no more than 10 data points None 8.11C simulate generating random samples of the same size from a population with characteristics to develop the notion of a random sample being representative of the population from which it was selected None 8.12 The student applies mathematical process standards to develop an economic way of thinking and problem useful in one’s life as a knowledgeable consumer and investor. The student is expected to: Instructional Considerations Current TEKS New 8th grade TEKS 2013-14 2014-15 Current TEKS New HS TEKS
BIG_Tool_8-HS_(with_TEA_updates).docx