Statistics Flashcards

1
Q

What is the pearson correlation?

A

Extent to which the variability of a variable is related to another variable variability.

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2
Q

What is the difference between one-tailed and two-tailed hypotheses?

A

One-tailed explains the direction (> or <) and two-tailed just asks whether there is a difference without specifying what difference.

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3
Q

The determination coefficient (r squared) is

A

The shared variance in percentages

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4
Q

What does regression estimates?

A

The extent to which other variables (independent, predictor) explain the variance of a variable (dependent, criterion/outcome).

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5
Q

ax+b, which is the slope and which is the intercept?

A

a=slope
b=constant/intercept

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6
Q

What are the conditions for a linear regression?

A

-Dependent variable continous, normal distribution
-Independent variable any level (normal distribution for cont.)
-Medium correlation between predictor and outcome (higher or equal to .30)
-Predictors must be orthogonal (correlation between them lower than .30)

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7
Q

Research hypothesis is reject when p is lower or equal than alpha. True or false?

A

True

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8
Q

What does the independent T-test do?

A

Compares the means of 2 independent samples.

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9
Q

How are the variables in an independent T-test?

A

Independet variable=nominal level, dichotomous
Dependent variable=continuous (interval or ratio)

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10
Q

Homogeneity of variances is a condition for T-test that can be checked using:

A

Levene test or Hartley’s F Max

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11
Q

What are some types of dependent samples T-tests?

A

-Test-retest designs
-Natural pairs
-Analyse whether treatment affects investigated variable

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12
Q

What does an ANOVA one-way do?

A

Compares the scores obtained on at least 3 independent samples (analysis of variance)

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13
Q

ANOVA is an omnibus test. True or false?

A

True (it tests the overall effect without saying which group mean is higher or lower)

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14
Q

What test can be applied if one of the three conditions for ANOVA are not met (dependent variable continuous, normal distribution on each sample, homogeneity of variance)?

A

Kruskal-Wallis Test

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15
Q

What does post-hoc analysis do?

A

Computes the overall effect of independent variable on outcome (pairwise comparisons which control the error)

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16
Q

What tests should be applied if variances are homogenous or if they are not?

A

Homogenous: Bonferroni test
Non-homogenous: Dunnett test