Final Exam Review Vocabulary Sheet

... You don’t have to have the exact definitions of these terms memorized, but you should understand and be able to explain in your own words the concepts represented here. Also, you should understand what context these terms show up in and what calculations/methods are associated with them. bar graph l ...

... You don’t have to have the exact definitions of these terms memorized, but you should understand and be able to explain in your own words the concepts represented here. Also, you should understand what context these terms show up in and what calculations/methods are associated with them. bar graph l ...

All confidence intervals follow the same formula:

... Note that this differs slightly from that given in the book in part C but that is because we had to estimate our degrees of freedom from the table. Using a statistical program such as Minitab we would have arrived at the same answer as Minitab would have calculated a correct t multiplier for 496 deg ...

... Note that this differs slightly from that given in the book in part C but that is because we had to estimate our degrees of freedom from the table. Using a statistical program such as Minitab we would have arrived at the same answer as Minitab would have calculated a correct t multiplier for 496 deg ...

Summary of Functions

... FORMULA 4: Poisson X ~ P(μ) X = the number of occurrences in the interval of interest X takes on the values x = 0, 1, 2, 3, ... The mean μ is typically given. (λ is often used as the mean instead of μ.) When the Poisson is used to approximate the binomial, we use the binomial mean μ=np. n is the bi ...

... FORMULA 4: Poisson X ~ P(μ) X = the number of occurrences in the interval of interest X takes on the values x = 0, 1, 2, 3, ... The mean μ is typically given. (λ is often used as the mean instead of μ.) When the Poisson is used to approximate the binomial, we use the binomial mean μ=np. n is the bi ...

08-30 lecture

... • Selection variables may interact with outcome – People/events in sample may differ from rest of population – Undergrads – Racial distribution ...

... • Selection variables may interact with outcome – People/events in sample may differ from rest of population – Undergrads – Racial distribution ...