Week 4B

Question 1

Continuous Random Variable

Answer 1

a variable that can assume any
value on a continuum (can assume an infinite number of values)
-These can potentially take on any value, depending only on the ability to measure accurately (e.g. lab values, time required to complete a task wight, BMI, viral load)

Question 2

Probability distributions
Discrete Probability Distributions

Answer 2

***Binomial
Poisson
Hypergeometric

Question 3

Probability distributions
Continuous Prob. Distributions

Answer 3

***Normal
Uniform
Exponential

Question 4

Normal Distribution
Shape:

Answer 4

Bell-shaped - symmetrical
Mean, median, and mode are equal
Central location is determined by the mean, μ
* Spread is determined by the standard
deviation, σ
* The random variable X has an infinite
theoretical range: +  to  

Question 5

Translation to the standard distribution

Answer 5

Any normal distribution (with any mean and standard deviation
combination) can be transformed into the standardized
normal distribution (Z)