Lecture 14 Flashcards

1
Q

Purpose of a two-factor ANOVA?

A

Tests for differences in a response variable among all the levels of two different factors at the same time

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2
Q

What is the purpose of adding a second factor?

A

It will explain more of the total variation in the response variable therefore decreases the unexplained variation

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3
Q

How are the factors labeled?

A

One factors = Factor A with “a” levels and the other is factor B with “b” levels

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4
Q

What is a cell

A

The combination of a level of factor A with a level of factor B

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5
Q

What is a two-factor ANOVA with replications?

A

There are multiple data points per cell, it s a balanced design

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6
Q

How does a two-factor ANOVA constitute as a multiple-sample test?

A

The samples are the cells which are at least four in a data set (2 factor A x 2 factor B = 4 cells)

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7
Q

How many and what are the null hypotheses in a two-factor ANOVA with replications?

A

H01: no effect of factor A
H02: no effect of factor B
H03: no A x B interaction

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8
Q

What is unique about hypothesis testing in two-factor ANOVAs with replications?

A

Do not need to write out alternative hypostheses, just the nulls

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9
Q

What is interaction in the factors?

A

Implies that the effects of one of the factors depends on the level of the other factor

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10
Q

What are the Sources of variation in two-factor ANOVA with replications?

A

Total, Error, and Cells. Cells is divided into 3 (A, B, and AxB)

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11
Q

In two-factor ANOVA with replications, what is the total variation?

A

All the variation in the entire data set

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12
Q

In two-factor ANOVA with replications, what is the Cells Variation?

A

The among cells variation, additive

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13
Q

In two-factor ANOVA with replications, what is the Error variation?

A

The within cell variation that is unexplained

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14
Q

In two-factor ANOVA with replications, what is the Factor A variation?

A

The variations among factor A

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15
Q

In two-factor ANOVA with replications, what is the Factor B variation?

A

The variations among factor B

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16
Q

In two-factor ANOVA with replications, what is the A x B interaction variation?

A

How the levels of one factor vary in combination with another level

17
Q

In two-factor ANOVA with replications, how is the Cell variations addiditive?

A

Factor A + Factor B + Interaction

18
Q

Why is it hard to make a definitive conclusion about each of the factors, even if they have significant results as well?

A

Each factor is doing different things in different combinations with each other that they would not be doing on their own

19
Q

What is the advantage of conducting a three-factor ANOVA?

A

Decreases the unexplained variation (error) due to testing more factors

20
Q

What is a disadvantage of conducting a three-factor ANOVA?

A

The amount of null hypotheses increases exponentially