Week 3 Flashcards
transforming X-values into Z-scores
- Z-score tells us the exact location of X-value
- Z-scores form a standardized distribution that can be compared to other distributions
Z-scores
- 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
probability (p)
fraction or proportion of all possible outcomes, ranges from 0 to 1
- probability of X = number of outcomes X ÷ total number of outcomes
joint probability
two events occurring together is less probable than each event happening individuallyk
conditional probability
how llikely something is given to that condition
bernoulli distribution
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)
answering probability questions about scores (X values) from a normal distribution
- transform the X values into z-scores
- use the unit normal table to look up the proportions corresponding to the z-score
binomial distribution
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