7.independent t-test Flashcards

1
Q

t test independent assumption

A

between assumptions
para assumptions

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2
Q

t test indepndent

A

less susceptibility of boredom

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3
Q

t test between

A

DV- interval or ratio
IV- two group compare variables

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4
Q

para assumptions

A

DV INTERVAL OR RATIO
normal dis
homogeneity of varience
no outliers.

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5
Q

t tests explains normailty

A

normaility is p bigger 0.05
assess skew and kurtosis
as between DV are distributed each level of IV
(WITHIN HAS DIFFERENT IV)

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6
Q

whats varience

A

similar scores little varience
large spread data large varience

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7
Q

what’s homogeneity of variance

A

variaility of score around mean ( varience) each group is similar (homogenous)
- don’t need within subject design

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8
Q

whats levenes test

A

check homogeneity of variance
- automatic when run t test ( independent)

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9
Q

When look at Levenes test

A

if p bigger 0.05 shows normaility and groups dont differ
- NOT VIOLATED ASSUMPTIONS
(read violated or not violated assumptions depending)

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10
Q

t tests run null hypotheisis ( mean)

A

that tests between two mean is 0

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11
Q

what t test takes into account

A

sample size.
difference between 2 means.= indicate sig( less likley due to chance

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12
Q

SD

A

less varience with 2 samples is best

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13
Q

why less varient important in group

A

data lights clustered

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14
Q

what does low varience mean

A

HOMOGENITY

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15
Q

what is alternative hypothesis

A

large mean
low var=( always want low var)

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16
Q

why less varience is important

A

less overlap
- as higher

17
Q

recap t tets fromula

A

on all t tests large t= larger sample size
lower p - more likley sig

18
Q

parameters in t test

A

mean and SD
(DF)

19
Q

what degree of freedom

A

n-1

20
Q

independent t test formula

A

t= x1-x2(signal difference in groups /square root
s21/n1 + s22/n2( noise different in groups)