Exam One - ttests Flashcards

1
Q

What do ttests do?

A

estimate the probability that the mean diff between two sets of values can be attributed to chance alone

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2
Q

What are the two types of ttests?

A

independent and paired

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3
Q

independent t tests are between two ________- samples

A

different/unrelated

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4
Q

paired t tests are between two ____- samples

A

similar/related (pre/post)

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5
Q

if p<a, we ___ that u1 = u2 and conclude that the two samples are significantly different

A

reject

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6
Q

When do we use ttests? to compare…

A
  • one nominal or ordinal variable
    AND
  • one continuous (measurement) variable
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7
Q

1 ttest compares ____ dependent variable. if the study has 10 DVs, the _____ ttests are ran

A

1, 10

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8
Q

What kind of ttest is this example?

standing balance (s) in people with and without peripheral neuropathy?

A

independent ttest

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9
Q

What kind of ttest is this example?

standing balance (s) and functional reach (cm) in people with and without peripheral neuropathy

A

2 independent ttests

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10
Q

What kind of ttest is this example?

knee abduction excursion (degrees) during a drop landing with and without an ankle brace

A

paired ttest

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11
Q

What kind of ttest is this example?

thigh and calf circumference (cm) and among adolescents before and after a strengthening intervention

A

2 paired ttests

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12
Q

What are 2 assumptions data must have for ttest to be valid?

A

1 - equal variance within samples
2 - normally distributed

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13
Q

equal variance within groups is represented by the ______ for each group

A

SD

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14
Q

if the data is normally distributed it should not be __________

A

skewed left or right

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15
Q

ttests may be _____if the data has unequal variance or non-normal distribution

A

misleading

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16
Q

Why don’t we do tons of ttests for the study?

A

it increases the likelihood of type one error study-wide

17
Q

if you reduce the alpha (to account for a ton of ttests) this will ______ the study power

A

decrease

18
Q

bonferroni correction

A
  • common but conservative method to prevent increase type one error when doing multiple ttests
  • take the alpha and divide it by # of comparisons and then thats the alpha level for each comparison
19
Q

Turkey and sheffe adjustments

A

adjust alpha to account for multiple comparisons (ttests) but are less conservative than bonferroni
- as such they are both more powerful than bonferroni

20
Q

LSD (least significant difference)

A
  • very powerful, doesn’t adjust alpha, basically says fuck it
  • for the statistically liberal