Exam 4 Flashcards

1
Q

In an ANCOVA, the covariate is a ____ variable

A

continuous

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2
Q

Which test is the least powerful

A

Mann-Whitney

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3
Q

To determine the effect of two independent variables on a dependent variable, what is the advantage of doing a single two way ANOVA as opposed to two separate one-way ANOVA’s

A

a two-way ANOVA asses possible interaction between the independent variables

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4
Q

In an ANOVA, this is the normal variation expected in individuals that is not a result of being part of a “group” It results from such things as individual genetic makeup and environmental history

A

error variance

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5
Q

The goal of this test is to detect differences between >2 independent means. Data are not normally distributed nor are the variances among groups equal.

A

KW

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6
Q

Calculate ratio of between-groups variance/within-groups variance. Test statistic

A

F-ratio

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7
Q

analysis of variance, a statistical method in which the variation in a set of observations is divided into distinct components.

A

ANOVA

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8
Q

Determine probability; compare F-ratio with ______ (shape determined by 2 separate dfs)

A

F-distribution

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9
Q

variation due to being part of a certain group (treatment)

A

between-group variance

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10
Q

all variation not due to being in that group

A

error variance, within-group variance

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11
Q

counteract the problem of maintaining an alpha level of 0.05 for multiple comparisons; many different post hoc tests

A

Post hoc pairwise tests

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12
Q

factorial design; 2 independent variables (=factors)

A

two-way ANOVA

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13
Q

Test whether sample means are from the same population

2. Powerful and robust

A

One-way ANOVA

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14
Q

the interaction or cooperation of two or more organizations, substances, or other agents to produce a combined effect greater than the sum of their separate effects

A

synergism

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15
Q

inhibition of or interference with the action of one substance or organism by another.

A

antagonism

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16
Q

Test whether three or more sample

means are from the same population

A

Kruskal_Wallis Test

17
Q

Detect differences among means of two or more groups when the dependent variable is
affected by a third (continuous) variable

A

ANCOVA

18
Q

– techniques for data measured on an angular scale.
Angular scales are circular in nature, have no designated zero, and the designation of high
and low values is arbitrary. For example, 0 and 360 point to the same direction.

A

Circular statistics (Raleigh Test)

19
Q

variable reduction technique that describe variability
among multiple observed variables in terms of a lower number of non-measured derived
variables

A

Principal component analysis

20
Q

– a generalized form of ANOVA in which
there are two or more independent and/or two or more dependent variables. MANOVA
assesses main effects and possible interactions among the dependent variables and among the
independent variables

A

MANOVA

21
Q

each

individual is measured ≥ two

A

repeated measures of ANOVA

22
Q

regression
with a binary dependent variable (e.g.,
presence/absence)

A

Logistic regression

23
Q

regression with

>1 independent variable (Fig. 2)

A

Multiple regression