week 4 Flashcards

1
Q

bias occurs if certain participants have a/an ________ probability of being selected

A

unequal

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2
Q

random sampling examples

A

simple random
stratefied
cluster

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3
Q

non-probability sampling examples

A

convenience sampling
quota sampling
snowball sampling

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4
Q

standardized normal distributeion

A

gaussian distribution

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5
Q

z score and its equation

A

labeled by number of standard devs

Z=(X-(MEAN OF X))/ standard dev

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6
Q

percentile equation

A

(# of scores less than x)/N x 100

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7
Q

inference

A

making generalizations about a pop based on data from samples

use hypotheses to make inferences

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8
Q

null hypothesis

A

no association
no difference in means
no difference in proportions

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9
Q

alternate hypothesis

A

there is an association

diff in means or proportions

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10
Q

alpha

A

the probably that the investigator accepts a priori that the results may be due to chance rather than a true difference

accepted proability of a type 1 error

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11
Q

p value

A

the actual probability from the data that results are due to chance rather than a true difference

the probability that a null hypothesis is true

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12
Q

reject the null if

A

p

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13
Q

type I error

A

recommend/ provide treatment that is inneffective

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14
Q

type II error

A

failure to identify an effective treatment that may benefit your patient

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15
Q

confidence interval

A

calculated range of values around the estimated measure that has a specified (95%) probability of including the true value of the measure in the population

may be used to determine significant, or precision

based on standard error

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16
Q

determining if means are different using CIs

A

is the difference between the two means falls between the CI, they are not different

17
Q

how precise the estimate is depends on the ____ of the CI

A

width

18
Q

power

A

probability of a type 2 error
related to variability of measure in question
magnitude of the efect
larger sample size-> greater power

19
Q

post hoc analysis

A

useful if findings were null or the sample size was small

enables the researches to estimate the probability of a type II error