Probability Flashcards

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1
Q

Fixed event

A

An event where the outcome observed does not change i.e. death, the sun rising every morning etc.

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2
Q

Random event

A

an event where outcomes can vary: coin flip, football wins/losses, size of shits etc.

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3
Q

Probability

A

The likelihood that a certain outcome will occur

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4
Q

Bell-shaped (gaussian) distro

A

the theoretical symmetrical distro with the mean, median, and mode at the 50th percentile

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5
Q

Probability calculation

A

p(x)=f(x)/sample space

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6
Q

Sample space

A

The number of possible outcomes in a calculation of a probability

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7
Q

Standard Normal Distribution (Z distribution)

A

A symmetrical distro with a mean of 0 and an SD of 1

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8
Q

Standard Normal Transformation (Z transformation)

A

The method for changing a normal distribution with any mean and SD to the standard normal distro, with mean 0 and SD 1

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9
Q

Standard Normal Transformation Formula

A

z=x−μ/σ (population)
z=x−M/SD (sample)
“the given score, minus the mean divided by the standard deviation”

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10
Q

Z-score

A

The value on the x axis of a standard normal distro, specifically. It is the distance/number of Standard deviations above or below the mean, as a proportion. It is not the score, it is the difference relationship of the score to the standard deviation and the mean.

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11
Q

unit normal table

A

A numerical table that displays a list of z scores, their distance from the mean, and their distance from the tail, as ratios.

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12
Q

Mutually exclusive events

A

Events who’s outcomes are totally separate, not dependent on one another

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13
Q

Independent Outcomes

A

When the probability of an outcome does not affect the probability of another

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14
Q

Multiplicative Rule

A

p(A∩B)=P(A)*P(B)

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15
Q

Conditional Probability

A

Probability that is dependent on another condition being met beforehand

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16
Q

Conditional Probability Equation

A

p(A|B)=(A∩B)/P(A)

17
Q

Bayes Theorem

A

Formula used to make inferences about parameters in a population

18
Q

Bayes’ Theorem

A

p(A|B)=p(B|A)p(A)/p(B)

19
Q

Random Variable

A

A variable in an experiment-describes the possible outcomes of an experiment

20
Q

Probability distribution

A

Distribution of likelihoods from a random variable: sum of the probabilities equals 1.

21
Q

Expected Value

A

The average outcome for a given random variable: the mean of the total outcomes

22
Q

Expected Value formula

A

μ=Sigma (xp)

Multiply each possible outcome by the probability of its occurrence, and sum all of the products

23
Q

Variance of a probability distro

A

The average squared variability of outcomes that deviate from the expected/average outcome

24
Q

Variance of Probability formula

A

σ^2=Sigma (x−μ)^2*p

25
Q

Standard Deviation of a probability distro

A

The average distance that expected random variable outcomes vary from the expected value.

26
Q

Formula for Standard Deviation of Probability

A

sqrt σ^2=sqrt sigma (x-μ)^2*p

27
Q

Binomial Probability Distro

A

Distro of probabilities for each outcome of a binary random variable (bivariate)

28
Q

Bivariate Random Variable

A

Any random variable with two, and only two, random outcomes

29
Q

Mean of a binomial distribution

A

The number of observations of the variable times the probability a given outcome will occur

30
Q

Mean of a Binomial Distro formula

A

μ=np

31
Q

Variance of a binomial distro

A

The squared variation of a binomial distribution with complementary outcomes

32
Q

Variance of a binomial distribution formula

A

σ^2=np(1−p)
or
σ^2=npq (q=1-p)

33
Q

Standard deviation of a binomial distro

A

The average variation between the two outcomes

34
Q

Standard Deviation of a binomial distro formula

A

sqrt σ^2=sqrt npq (q=1-p)