Lecture 3- ANOVA Flashcards

1
Q

What is ANOVA and what is an example

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2
Q

what is an independent sample t-test and an example

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3
Q

what does ANOVA stand for

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4
Q

why do we not do multiple tests

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5
Q

how many p values does ANOVA give

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6
Q

what type of error do does ANOVA reduce

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7
Q

what variables relate to ANOVA and what does it assume

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8
Q

what do we need to find before we look into an anova test

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9
Q

what 2 types of variation does data in tables have

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10
Q

what does H0 mean

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11
Q

what does H1 mean

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12
Q

ANOVA allows the determination of how much of the variance can be explained….

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13
Q

what does one way ANOVA produce (ratio)

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14
Q

what is the equation for the f ratio

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15
Q

what is the f ratio compared to

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16
Q

what does ANOVA overall tell us.

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17
Q

what test is preformed following a significant ANOVA

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18
Q

when are post hoc tests done

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19
Q

what is a priori

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20
Q

what is a post hoc test

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21
Q

what are 2 examples of post hoc tests

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22
Q

what is the Turkey test and when is it used

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23
Q

what’s bonferroni

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24
Q

can multiple comparisons with multiple groups get confusing

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25
Q

what letters denote significant differences between groups as determined from Tukey post hoc tests

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26
Q

do we present the p values obtained from post hoc tests

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27
Q

what are superscript letters

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28
Q

what does those with similar superscripts mean

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29
Q

what do those with different superscripts mean

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30
Q

what are the 3 examples of superscript letters

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31
Q

we run ANOVA to reduce what error

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32
Q

When are Tukey tests run

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