Chatmade II Flashcards

(15 cards)

1
Q

What is the main difference between logistic regression and linear regression?

A

Logistic regression is used for binary outcomes and predicts probabilities using the logit function; linear regression predicts continuous outcomes using a straight-line relationship.

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2
Q

When would you use a MANOVA instead of a standard ANOVA?

A

When you have two or more related dependent variables and want to test them together across groups.

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3
Q

Why is Poisson regression more appropriate than linear regression for modeling count data?

A

Because Poisson regression models non-negative integer counts and assumes the mean equals the variance, which is typical for count data.

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4
Q

What kind of variable is used as the outcome in a Chi-Square Test of Independence?

A

A categorical variable.

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5
Q

What is a nested ANOVA and when is it appropriate?

A

A test used for hierarchical data (e.g., students within classrooms), accounting for non-independence within nested groups.

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6
Q

What test compares fish counts from different rivers, each sampled multiple times?

A

Nested ANOVA.

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7
Q

What test examines if plant height is affected by both soil type and sunlight?

A

Two-Way ANOVA.

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8
Q

What test compares group means while adjusting for a continuous variable like temperature?

A

ANCOVA (Analysis of Covariance).

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9
Q

What kind of regression is used when the outcome is the number of events per time period?

A

Poisson regression.

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10
Q

What test is used to predict a binary outcome like heart disease (yes/no) from a predictor?

A

Logistic regression.

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11
Q

Why is it problematic to run multiple ANOVAs instead of a MANOVA?

A

It increases Type I error; MANOVA accounts for correlations and tests multiple DVs together.

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12
Q

What does a significant interaction in Two-Way ANOVA mean?

A

The effect of one factor depends on the level of the other.

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13
Q

What can you do if ANOVA assumptions (like equal variances) are violated?

A

Use Welch’s ANOVA, transform the data, or use a non-parametric test like Kruskal-Wallis.

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14
Q

Why are repeated observations in repeated measures ANOVA not treated as independent?

A

Because they come from the same subject and are likely correlated.

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15
Q

When would ANCOVA provide better results than ANOVA?

A

When you want to compare group means while controlling for a continuous covariate like socio-economic status.

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