Statistical Tests (More Than 2 Groups) Flashcards

1
Q

One-way ANOVA

A

Whether the means of two or more sets of unrelatedmeasurements are different from each other (parametric)

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2
Q

One-way ANOVA example

A

Whether one or more groups of experimentally treated organisms are different from controls

Or two or more species are different from each other (parametric data)

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3
Q

Repeated Measures ANOVA

A

Test whether the means of a two or more sets of related measurements are different from each other

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4
Q

Repeated Measures ANOVA example

A

Whether one group of experimentally treated organisms are different at several times before and after treatment

Or if two or more sets of measurements taken at known times are different from each other

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5
Q

Two-way ANOVA

A

To analyse experiments or trials which you can look at the effects of two factors at once

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6
Q

Two-way ANOVA example

A

Examining the effect of corn yield of adding different amounts of nitrate and phosphate

Or examining the effects on yield of adding different amounts of nitrate to more than one wheat variety (parametric data)

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7
Q

ANOVA Post-Hoc tests

A

Tukey test and Dunnett test

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8
Q

Tukey test

A

If you want to compare each group with all other groups (if ANOVA is significant)

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9
Q

Dunnett test

A

If you want to compare experimental groups with a control

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10
Q

Kruskal-Wallis test

A

Whether the medians of two or more sets of unrelatedmeasurements are different from each other

(non-parametric version of one-way ANOVA)

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11
Q

Kruskal-Wallis test example

A

Whether one or more groups of experimentally treated organisms are different from controls

Or two or more species are different from each other (non parametric)

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12
Q

The Friedman test

A

Whether two or more sets of related measurements are different from each other

(non-parametric version of repeated measures ANOVA)

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13
Q

The Friedman test example

A

To test whether one group of experimentally treated organisms are different at several times after a treatment

Or if two or more sets of measurements taken at known times are different from each other

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14
Q

Non-Parametric Post-Hoc tests

A

Dunnes test and Dunnett-Bonferroni test

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15
Q

Dunnes test

A

To understand which groups are different from each other if the Kruskal Wallis or Friedman tests shows that their is a significant difference between groups

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16
Q

Dunnett-Bonferroni test

A

If you want to compare experimental groups with a control if the Kruskal Wallis or Friedman tests shows that their is a significant difference between groups