Probability Flashcards

0
Q

The total possible outcomes in calculating a probability

A

Sample Space

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1
Q

A standardized score in which the mean of a data set is subtracted from a number and the difference is divided by the standard deviation The calculation tells one how far a number is above or below the mean in terms of standard deviations. Mean and SD of z scores are 0 and 1.

A

Z score

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2
Q

Some specified occurrence for calculating a probability

A

Event

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3
Q

In probability theory, the normal (or Gaussian) distribution is a continuous probability distribution, defined on the entire real line. It has a bell-shaped probability density function.

A

Normal distribution

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4
Q

A discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time, space, distance, area or volume if these events occur independently with a known average rate.

A

Poisson Distribution

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5
Q

A z score of a normally distributed variable in a population

A

Standard Normal Deviate

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6
Q

When two events, A and B, are mutually exclusive, the probability that A or B will occur is the sum of the probability of each event such that P(A or B) = P(A) + P(B)

A

Addition Rule

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7
Q

When two events, A and B, are mutually exclusive, the probability that A AND B will occur is the product of the probability of each even such that P(A and B) = P(A) x P(B)

A

Multiplication Rule

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8
Q

The probability of testing positive given that a subject has some condition

A

Sensitivity

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9
Q

The probability of testing negative given that a subject does not have some condition

A

Specificity

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10
Q

In probability theory, the average of the results obtained from a large number of trials will converge on the expected value, and will tend to become closer as more trials are performed.

A

Law of Large Numbers

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11
Q

Probability before certain evidence is taken into account. e.g. probability that someone has a disease (without testing them)

A

Prior Probability

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12
Q

Conditional probability of an event occurring given relevant evidence. e.g. probability of someone having HIV given a positive test.

A

Posterior Probability

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13
Q

A normal distribution with a mean of 0 and a standard deviation of 1

A

Standard Normal Curve

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14
Q

p(a) x p(b|a) = p(b) x p(a|b)

A

Bayes theorem (rule)

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15
Q

Characteristics of a distribution (such as the mean) in a population

A

Parameters

16
Q

Characteristics of the distribution of data in a sample

A

Statistics

17
Q

Used in testing, a score that reflects one’s relative standing in a reference group with a particular mean and standard deviation

A

T-Scores

18
Q

The probability of an event given that some condition has been met.

A

Conditional Probability

19
Q

The probability of having a condition given that a subject tests positive

A

Positive Predictive Value

20
Q

The probability of not having a condition given that a subject tests negative

A

Negative Predictive Value

21
Q

A table constructed with at least two factors that reveal the intersection of all levels.

A

Contingency Table