Module 17: Statistics Flashcards Preview

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Flashcards in Module 17: Statistics Deck (19)
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1
Q

How to calculate probability?

A

P(E)= r/n
r is total number possible outcomes
n is number of all possible outcomes

2
Q

Probability = 1 equation?

A

P(E) + P(not E) = 1
Rearrange
P(E) = 1-P(not E)
P(not E) = 1-P(E)

3
Q

What do we need to decide in order to apply the addition rule?

A

If A and B are mutually exclusive or not

Mutually exclusive means can’t both happen at once

4
Q

If both events ARE mutually exclusive what is the probability of either event happening?

A

P(A or B)= P(AB) + P(B)

5
Q

If events are NOT mutually exclusive what is the probability of whether A or B occurs?

A

P(A or B) = P(A) + P(B) - P(A and B)

6
Q

What do we use if we want to know the probability of event A AND B both occurring?

A

Multiplication rule

7
Q

A and B if events are independent?

A

P (A and B) = P(A) x P(B)

8
Q

A and B if dependant on one another?

A

P (A and B) = P(A) x P(B given that A has already happened)

9
Q

If event is independent?

A

One occurring has no effect on the other

10
Q

If event is dependant?

A

One has to occur to allow other to occur

11
Q

If given info regarding whether two events are mutually exclusive or not you can rearrange the addition rule how to find P(A and B)

A

P(A or B) = P(A) + P(B) - P(A and B)

12
Q

What is the random variable?

A

Something we are trying to estimate the probability of

13
Q

What is a discrete random variable?

A

Something that can only take specific values can ‘count’

e.g. cars in parking lot, can’t have decimal

14
Q

What is a continuous random variable?

A

Can take any value, have to ‘measure’ e.g. temperature

15
Q

What are the criteria for binomial distribution?

A

n identical trials
each results in one of two possible outcomes
Independent
Interested in number of successes

16
Q

What is n, p and x in binomial distribution?

A
n = number of trials e.g. 4
p = probability of success
x = events, number of successes (e.g. 0,1,2,3,4)
17
Q

Features for Poisson distribution?

A

Discrete random variable

How many TIMES and event occurs

18
Q

What are the 4 key aspects of Big Data?

A

Volume
Velocity- speed
Variety
Veracity- reliability

19
Q

Confidence equation?

A

X = x̄ + or - Z(o/route of n)