Inferential Statistics Flashcards

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1
Q

What do inferential statistics help us to infer?

A

Whether the data is likely to be due to chance

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2
Q

What can be done with the hypothesis after the inferential statistic test?

A

Accept or Reject

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3
Q

What is step one when deciding on an inferential statistics test?

A

Discover the level of measurement e.g. nominal, ordinal, interval or ratio

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4
Q

What is step two when deciding on an inferential statistics test?

A

Finding whether the research is investigating a difference in variables or a relationship

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5
Q

What is step three when deciding on an inferential statistics test?

A

Finding what experimental design was used e.g. Independent groups, Repeated measures or matched

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6
Q

What is the way in remembering the tests table?

A

I Really Could Not Calculate Sums On Mondays Without Smiling

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7
Q

What test is used investigating a difference using Independent, Nominal data?

A

Chi-squared test

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8
Q

What test is used investigating a difference using Independent, Ordinal data?

A

Mann Whitney U test

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9
Q

What test is used investigating a difference using Related, Nominal data?

A

Sign test

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10
Q

What test is used investigating a difference using Related, Ordinal data?

A

Wilcoxon test

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11
Q

What test is used investigating a correlation using Ordinal data?

A

Spearman’s Rho

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12
Q

What is probability?

A

The likelihood of an event happening

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13
Q

What letter do psychologists use to represent probability?

A

P

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14
Q

What is there probability level in psychology?

A

P ≤ 0.05

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15
Q

What does P ≤ 0.05 mean?

A

There 95% chance that the results from a study were due to the IV and 5% they are due to other reason e.g. other factors or error

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16
Q

When might a stricter probability level be necessary?

A

When testing the development of new drugs or medication before being allowed to public consumption

17
Q

What may the stricter probability level be?

A

P ≤ 0.01

18
Q

What should a scientific theory always be?

A

Falsifiable

19
Q

What does it mean if results of a study are significant?

A

Not due to chance

20
Q

What does it mean if results of a study are non-significant?

A

Due to chance

21
Q

If results are significant what should we do with the hypothesis?

A

Accept the alternative hypothesis and reject the null

22
Q

If results are non-significant what should we do with the hypothesis?

A

Accept the null hypothesis and reject the alternative

23
Q

What should we compare our calculated (observed) value with to determine which hypothesis to accept?

A

The critical value