Module 5

Question 1

as possible values a variable can take and how frequently they occur.

Answer 1

Distribution

Question 2

defined as to measure the likelihood of an outcome

Answer 2

Probability

Question 3

■ Finite number of outcomes
■ Equiprobable
■ Example: Flipping a coin

Answer 3

Discrete Distribution

Question 4

■ Infinitely many outcomes
■ Test how an unusual an event frequency is for a given interval

Answer 4

Continuous Distribution

Question 5

What variable denotes Uniform distribution

Answer 5

“U”

Question 6

what letter is used to denote a random variable in uniform distribution

Answer 6

X = Random variable

Question 7

○ Denoted by “Bern”
○ X ~ Bern (p)

Answer 7

Bernoulli Distribution

Question 8

What is the difference between Bernoulli and Binomial Distribution

Answer 8

Bernoulli suggests the outcome we expect for a single digit, Binomial distribution suggest number of times we expect to get a specific outcome

Question 9

○ Deals with the frequency with which an event occurs within a specific interval

Answer 9

Poisson Distribution

Question 10

What denotes Poisson Distribution?

Answer 10

“Po”