Bivariate Flashcards

(14 cards)

1
Q

What is the purpose of a test of differences?

A

To determine if groups differ significantly on a particular variable e.g mean scores, behaviours, attitudes

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2
Q
A
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2
Q

When do you use an independent samples t-test?

A

when comparing between two independent groups e.g. control vs experimental

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3
Q

What is the null hypothesis for an independent samples t-test?

A

The means of both groups are equal

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4
Q

What does the pooled estimate of the standard error assume?

A

That the variances of both groups are equal

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5
Q

When do you use a paired samples t-test?

A

When comparing two related samples

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6
Q

What is the null hypothesis for a paired samples t-test?

A

That the mean difference before and after is zero

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7
Q

When do you use ANOVA?

A

When testing differences in means across three or more independent groups

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8
Q

What is the null hypothesis for ANOVA?

A

All group means are equal

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9
Q

What does the F-Ratio in ANOVA represent?

A

The ratio of variance between groups to variance within groups

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10
Q

What does a large F-Ratio suggest in ANOVA?

A

A significant difference between group means

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11
Q

What test checks if group variances are equal before running a t-test or ANOVA?

A

Levenes test

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12
Q

What are non-parametric test used for?

A

When data doesn’t meet the assumptions of a parametric test e.g. non-normal distribution, unequal variances

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13
Q

What’s the difference between statistical and practical significance?

A

Statistical shows the difference is unlikely due to chance an dpractical considers if the difference atually matter in the real world

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