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Biostatistics > Lecture week 9- para and non-para tests > Flashcards

Lecture week 9- para and non-para tests Flashcards

1
Q

what are all statistical tests derived on the basis of

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2
Q

what tests relate to normally distributed data

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3
Q

what shapes are parametric tests

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4
Q

what are the calculations based on for parametric tests

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5
Q

what tests relate to not normally distributed data

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6
Q

what shape are non-parametric tests

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7
Q

what are the calculations based on for non- parametric tests

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median and IQR

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8
Q

What type of data is nonparametric

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9
Q

If data are not normally distributed can you mathematically transform it

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10
Q

what are 4 examples of transformations

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11
Q

does transforming data always normalise data

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12
Q

what are the 4 consequences of transforming data

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13
Q

What are the differences between parametric and non-parametric tests?

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14
Q

what type of data relates to parametric tests

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15
Q

does non-parametric tests put data in ranks

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16
Q

how do we rank data from non-parametric tests

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17
Q

what are the pros of non-parametric tests

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18
Q

what are the cons of non-parametric tests

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19
Q

what is the parametric and non test for paired samples

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20
Q

what is the parametric and non test for 2 independent groups

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21
Q

what is the parametric and non test for over 2 independent groups

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22
Q

what is the parametric and non test for correlations

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23
Q

what is the parametric and non test for categorical/ nominal/ ordinal data

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24
Q

what is the wilcoxon signed rank test

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25
Q

what is an example of a wilcoxon signed rank test

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26
Q

What is the Mann Whitney U test?

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27
Q

What is an example of the Mann Whitney U test?

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28
Q

What is the Kruskal-Wallis Test?

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29
Q

What is an example of the Kruskal-Wallis Test

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30
Q

What is the Chi-square test X2

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31
Q

What is an example of the Chi-square test?

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32
Q

what is a low SES associated with

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33
Q

when do we use non-parametric tests

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Biostatistics (7 decks)

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