BIOL2022 L13 Dealing with CLASS INDEPENDENT VARIABLES

Frage 1 von 7

2

What conditions must be present in order to use an independent t-test?
A ❌ dependent variable;
A ❌ independent variable (with ❌ levels).

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Continuous

Class

2

>2

≥2 (>=2)

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Frage 2 von 7

2

What conditions must be present in order to use a 1-way ANOVA?
A ❌ dependent variable;
A ❌ independent variable (with ❌ levels).

Klicke und ziehe, um den Text zu vervollständigen.

Continuous

Class

≥2 (>=2)

2

>2

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Frage 3 von 7

5

In an ANOVA, the F value is obtained by the formula:
---- Groups MS / Error MS ----
...where Groups MS = Groups SS / Groups DF
...and Error MS = Error SS / Error DF
In these, what are the following defined as?
DF = ❌;
MS = ❌;
SS = ❌;
…therefore:
Groups MS represents ❌, whereas Error MS represents = ❌.

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degrees of freedom

mean squared deviation from the mean

mean squares

sum of squared deviation from the mean

sum of squares

BETWEEN groups’ mean-squares

WITHIN groups’ mean-squares

BSOD

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Frage 4 von 7

2

When reporting an ANOVA, what do each of the following numbers represent?
Options are:
#1 - df BETWEEN groups (# of treatment groups)
#2 - df BETWEEN groups (# of treatment groups - 1)
#3 - df BETWEEN groups ( (# of treatment groups) x (# of samples in each group) )
#4 - df BETWEEN groups ( (# of treatment groups - 1) x (# of samples in each group - 1) )
#5 - df WITHIN groups (# of treatment groups)
#6 - df WITHIN groups (# of treatment groups - 1)
#7 - df WITHIN groups ( (# of treatment groups) x (# of samples in each group) )
#8 - df WITHIN groups ( (# of treatment groups - 1) x (# of samples in each group - 1) )

Ziehe eine Antwort zum richtigen orangen Punkt.

#2 BETWEEN

#1 BETWEEN

#3 BETWEEN

#4 BETWEEN

#5 WITHIN

#6 WITHIN

#7 WITHIN

#8 WITHIN

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Frage 5 von 7

1

Homoscedasticity vs heteroscedasticity:
Heteroscedasticity means:

Wähle eine der folgenden:

Variance is unequal, e.g. error gets larger on one side
Variance is unequal, e.g. more samples on one side
Distribution is unequal, e.g. error gets larger on one side
Distribution is unequal, e.g. more samples on one side

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Frage 6 von 7

1

In order to perform an ANOVA, you should transform if your data is:

Wähle eine der folgenden:

Heteroscedastic
Homoscedastic
Really shitty

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Frage 7 von 7

2

Question: “Is aerobic enzyme activity greater in males than females?
Dependent variable: ❌, which is a ❌ variable;
Independent variable: ❌, which is a ❌ variable.

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Aerobic enzyme activity

Continuous

Sex

Class

	Erstellt von Michael Jardine vor fast 6 Jahre

BIOL2022 L13 Dealing with CLASS INDEPENDENT VARIABLES

Frage 1 von 7

What conditions must be present in order to use an independent t-test? A ❌ dependent variable; A ❌ independent variable (with ❌ levels).

Klicke und ziehe, um den Text zu vervollständigen.

Erklärung

Frage 2 von 7

What conditions must be present in order to use a 1-way ANOVA? A ❌ dependent variable; A ❌ independent variable (with ❌ levels).

Klicke und ziehe, um den Text zu vervollständigen.

Erklärung

Frage 3 von 7

Klicke und ziehe, um den Text zu vervollständigen.

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Frage 4 von 7

Ziehe eine Antwort zum richtigen orangen Punkt.

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Frage 5 von 7

Homoscedasticity vs heteroscedasticity: Heteroscedasticity means:

Wähle eine der folgenden:

Erklärung

Frage 6 von 7

In order to perform an ANOVA, you should transform if your data is:

Wähle eine der folgenden:

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Frage 7 von 7

Question: “Is aerobic enzyme activity greater in males than females? Dependent variable: ❌, which is a ❌ variable; Independent variable: ❌, which is a ❌ variable.

Klicke und ziehe, um den Text zu vervollständigen.

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What conditions must be present in order to use an independent t-test?
A ❌ dependent variable;
A ❌ independent variable (with ❌ levels).

What conditions must be present in order to use a 1-way ANOVA?
A ❌ dependent variable;
A ❌ independent variable (with ❌ levels).

Homoscedasticity vs heteroscedasticity:
Heteroscedasticity means:

Question: “Is aerobic enzyme activity greater in males than females?
Dependent variable: ❌, which is a ❌ variable;
Independent variable: ❌, which is a ❌ variable.