Define a random variable for a quantity of interest by assigning a numerical value to each event in a sample space; graph the corresponding probability distribution using the same graphical displays as for data distributions.
I Can Statements
*I can assign a numerical value to each event in a sample space in order to define a random variable for a quantity of interest.
*I can graph a probability distribution using similar graphical displays for data distributions.
*Record multiple observations of random events and construct empirical models of the probability distributions. (MA.AA.DSP.5)
*This course is a 4th year course in the Indiana sequence. The concepts and skills within the course extend to multiple post-secondary pathways and applications.
Clarifying Examples and Digital Resources
Click here for clarifying examples and digital resources aligned to Indiana standards. These are intended to expand each standard to support instruction in the classroom as evidenced by the Eight Mathematics Teaching Practices put forth by the National Council of Teachers of Mathematics (NCTM).