CT3 Flashcards

1
Q

How do you compare more than 2 data sets?

A

ANOVA

Analysis of variance

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2
Q

What is the non parametric equivalent of ANOVA?

A

Kruskal-Wallis

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3
Q

How do we assess if data sets co-vary?

A

Correlation

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4
Q

How do we measure the effect of one data set on another?

A

Regression

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5
Q

How do we test for association between categories?

A

Chi square

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6
Q

What test do you use if you have one sample and a predefined value?

A

One sample t-test?

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7
Q

What test do you use if you have 2 samples with different subjects in each sample?

A

2 sample t-test. (Independent t-test)

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8
Q

What test do you use if you have two samples with the same subjects in each sample?

A

Paired t-test

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9
Q

What is the purpose of correlation testing?

A

To test whether two sets of measurements taken on a single population are linearly associated.

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10
Q

In regards to regression analysis what does the r^2 value show?

A

The proportion of the variance in the data.

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11
Q

If all data points are close to the regression line what will the r^2 value be?

A

1

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12
Q

If data points are scattered far from regression line what will the r^2 value be?

A

0

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13
Q

What does ANOVA compare?

A

Variability between groups

Variability within groups

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14
Q

What are the three assumptions of ANOVA?

A
  1. Normally distributed data
  2. Homogeneous variances (equal variance within each population)
  3. Sample size roughly equal
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15
Q

What is Levene’s test used for?

A

To test if samples have equal variance. (Homogeneous variance).

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