Week 3 Flashcards

1
Q

transforming X-values into Z-scores

A
  • Z-score tells us the exact location of X-value
  • Z-scores form a standardized distribution that can be compared to other distributions
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2
Q

Z-scores

A
  • sign of Z-score signifies whether score is above (+) or below (-) the mean
  • number specifies the distance from the mean in terms of standard deviations
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3
Q

probability (p)

A

fraction or proportion of all possible outcomes, ranges from 0 to 1
- probability of X = number of outcomes X ÷ total number of outcomes

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4
Q

joint probability

A

two events occurring together is less probable than each event happening individuallyk

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5
Q

conditional probability

A

how llikely something is given to that condition

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6
Q

bernoulli distribution

A

applies to a discrete variable with 2 outcomes
- often one outcome is ‘success’ and the other outcome is ‘failure/no success’
- the shape of the probability distribution is determined by parameter p (= probability)

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7
Q

answering probability questions about scores (X values) from a normal distribution

A
  • transform the X values into z-scores
  • use the unit normal table to look up the proportions corresponding to the z-score
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8
Q

binomial distribution

A

shows the probability associated with each value of X from X = 0 to X = n
p = P (A) + q = P (B)
p + q = 1.00

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