Psych220 Chap 6

Front 1

probability

Back 1

probability is used to predict what kind of samples are likely to be obtained from a population.

the probability of any particular outcome, when different outcomes are possible, is defined as a fraction or a proportion of all the possible outcomes.

Front 2

random sample

Back 2

random sampling requires that each individual in a population has an equal chance of being selected, and that the probabilities must stay constant from one selection to the next if more than one individual is selected

Front 3

binomial distribution

Back 3

shows the probability associated with each value of X from X=0 to X=n

Front 4

under what circumstances is the normal distribution an accurate approximation to the binomial distribution?

Back 4

when the pn and qn are both greater than 10

Front 5

random sample

Back 5

sample obtained using a process that gives every individual an equal chance of being selected and keeps the probability of being selected constant over a series of selections

Front 6

sampling with replacement

Back 6

sampling technique that returns the current selection to the population before the next selection is made. this is a required part of random sampling

Front 7

normal distribution

Back 7

a symmetrical, bell-shaped distribution with proportions corresponding to those listed in the unit normal table

Front 8

unit normal table

Back 8

a table listing proportions corresponding to each z-score location in a normal distribution

Front 9

percentile

Back 9

a score that is identified by the percentage of the distribution that falls below its value

Front 10

percentile rank

Back 10

the percentage of a distribution that falls below a certain score

Front 11

binomial distribution

Back 11

the distribution of probabilities, for each possible outcome for a series of observations of a dichotomous variable