27 Inferential Stats Flashcards

1
Q

useful for descriptive, predictive, causal research; draw generalizations from inferences from sample stats to pop. parameters

A

inferential stats

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2
Q

why infernces probabilistic?

A

even with random sampling, always chance sampling error

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3
Q

what are sample stats?

A

estimates of actual pop. parmeters

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4
Q

Sx=

A

s/sq rt of n (sample standard error)

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5
Q

use t distr for:

A

confidence interval when n is small (<30)

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6
Q

what is central limit theorem?

A

as n becomes large, distr of sample means approaches normal distr

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7
Q

number of scores free to vary when calc stat

A

df

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8
Q

use of z or t distr?

A

estimate prob of drawing certain sample mean from pop., calc. confidence intervals

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9
Q

to look up t values, need to consider:

A

direction, probability, degrees of freedom

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10
Q

what is lvl of significance?

A

calc probability that what seen in sample data is generalizable to pop.

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11
Q

process of deciding statistically if findings due to chance or real effect, at certain lvl of probability

A

hypothesis testing

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12
Q

steps in hypo test?

A

1) state alt hypothesis (prediction for evaluation) 2) state null hypothesis

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13
Q

why is directional Ha advantage?

A

^ prob reject Ho

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14
Q

if obt > crit, ___ Ho

A

reject

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15
Q

if obt < crit, ___ Ho

A

retain

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16
Q

what is type 1 error?

A

mistakently reject Ho (false alarm)

17
Q

what is type 2 error?

A

mistakenly retain Ho (miss)

18
Q

how to minimize beta error?

A

increase sample size, reduce msmt variability, use directional Ha, set less demanding alpha

19
Q

type 1 and 2 are ___ related

A

inversely