Session 4 - Statistical testing Flashcards

Introduction to Statistical Testing

1
Q

Purpose of statistical testing

A

To identify if any relationships between variables are statistically significant or not

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2
Q

Tests try to disprove the…

A

Null hypothesis
H0
Base assumption is H0 is true
Aim to reject in favour of alternative hypothesis HA, if test is significant

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3
Q

Null hypothesis

A

H0
Proposes there is no statistical significance
Claims the effect being studied does not exist

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4
Q

2 sided vs 1 sided test examples
Do children from larger families have better resilience?

A

2 sided
H0 - Average resilience scores are the same
HA - Average resilience scores are different

1 sided
H0 -Average resilience scores are equal or lower
HA Average resilience scores are higher

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5
Q

1 sided or 2 sided test?

A

Generally use 2 sided to allow for the possibility of results against our expectations

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6
Q

p-value interpretation

A

> 0.1 little or no evidence
0.05-0.1 weak evidence (not statistically significant, fail to reject H0)
0.01-0.05 Evidence
<0.01 Strong evidence
<0.001 Very strong evidence

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7
Q

Type I error (alpha)

A

Deciding against a true null hypothesis
(test statistically significant, but no true difference = H0 is true)

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8
Q

Type II error (beta)

A

Failure to detect a true alternative hypothesis
(In population HA is true, there is a difference, but test is not statistically significant)

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8
Q

Confidence Interval - the relationship is statistically significant if….

A

the interval does NOT include the value of the null hypothesis (difference=0)

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9
Q

What to include in write up of statistical testing

A

Descriptive Summary of variables including direction and magnitude of any observed relationships
Relevant test output
Comment on statistical significance - exact p-value and quote CI of any difference
Comment on test assumptions of the test that was performed

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10
Q

Inferential statistics

A

Make judgements about a population of interest using data from a sample of participants

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11
Q

5 steps of conducting a statistical test

A

Research Question informs
Formulation of Hypotheses (H0, HA)
Conduct correct test on data
Test provides evidence to confirm / reject hypotheses as a probability (p)
Answer research question

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