Subject
Grade
Concept/Content
probability models for variation
Elaboration
- binomial distribution:
- When is it appropriate?
- What does it model?
- What assumptions can be made?
- Shape of distribution affected by n and p.
- normal (Gaussian) distribution:
- when it is useful
- roles of the mean and standard deviation, 68-95-99.7 rule
- central limit theorem: describing the variation of a sample mean
- use of simulation software to explore sampling distributions
keywords
models