STAT.MATH.5.C
Construct a distribution based on a technology-generated simulation or collected samples for a discrete random variable.
Statistics · Texas Essential Knowledge and Skills (TEKS) · TEKS 2012
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
distributiontechnology-generated simulationcollected samplesdiscrete random variable
Skills
- construct (a distribution) #dok2
- interpret (technology-generated simulations) #dok2
- collect (samples for a discrete random variable) #dok2
- analyze (the distribution of a discrete random variable) #dok3
Learning Targets
- I can describe what a discrete random variable is. #dok1
- I can identify when a distribution represents a discrete random variable. #dok1
- I can construct a distribution using data from a simulation. #dok2
- I can collect and organize samples for a discrete random variable. #dok2
- I can use technology-generated simulations to create a probability distribution. #dok2
- I can analyze patterns and trends in a constructed distribution. #dok3
- I can justify the steps taken to construct a distribution based on sample data or simulations. #dok3
Big Ideas
- Probability distributions for discrete random variables can be generated from real or simulated data.
- Technology and collected samples allow us to model and better understand random phenomena.
Essential Questions
- What is a discrete random variable, and how is it different from a continuous random variable?
- How can technology-generated simulations help us construct probability distributions?
- What are the steps for constructing a distribution from collected samples?
- How does the method of obtaining data (simulation or sampling) affect the resulting distribution?
- Why is understanding the distribution of a discrete random variable important in statistics?