inferential statistics Flashcards

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1
Q

what are inferential statistical tests?

A
  • Tests based on the mathematics of probability, they help researchers decide how likely a hypothesis is to be true, given the results from a study. They test the null hypothesis.
  • Statisticians have produced tests and critical value tables which are used to claim a certain level of certainty that the results are not a chance finding (fluke)
  • Psychologists have agreed to use the probability value of p<0.05, which means the probability the results are due to chance at 5% or less
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2
Q

what is nominal data?

A

data is in seperate categories

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3
Q

what is ordinal data?

A

data is ordered - differences between them may not necessarily be the same

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4
Q

what is interval data?

A

data is measured using units of equal intervals (e.g. height measured in centimetres)

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5
Q

name the inferential statistical tests

A
  • chi squared test
  • mann whitney
  • wilcoxon
  • spearman’s rank/rho
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6
Q

when do you use chi squared?

A
  • testing to see if there is a difference between two or more groups (test of difference)
  • gathered nominal data
  • used an independent groups design (pps do only one condition each)

NICK IS COOL

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7
Q

when do you use mann whitney?

A
  • Testing to see if there is a difference between two or more groups
  • Gathered at least Ordinal or higher data (Interval/ratio data)
  • Independent Measures design (pps do only ONE condition each)

Ollie Is Messy

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8
Q

when do you use wilcoxon?

A
  • Testing to see if there is a difference between two or more groups
  • Gathered at least Ordinal or higher data (Interval/ratio data)
  • used a repeated measures design

Ollie Runs Wild

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9
Q

when do you use spearman’s rank/rho?

A
  • testing to see if there is a relationship between two or more groups
  • gathered at least Ordinal or higher data (Interval/ratio data)
  • looking for a correlation

(WHEN RANKING, LOWEST GETS NUMBER 1)

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10
Q

how do you calculate mann whitney?

A
  • Rank all scores together, ignoring which group they belong to. The lowest score gets a rank of “1”, the next lowest gets a rank of “2”, and so on. If two or more scores are identical, this is a “tie”. They get the average of the ranks that they would have obtained, had they been different from each other.
  • Add up the ranks from group a (𝚺) and do the same for group b
  • Complete the formula for each group to calculate Ua and Ub
  • Compare the smaller of the two U values to the critical value to see if the results are significant - make sure you use the correct table based on whether the hypothesis is one or two tailed and your p value (0.05 or 0.01 etc.) The calculated U value, must be equal to or less than the critical value for the results to be significant.
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11
Q

what is a type 1 error?

A

accepting the alternative hypotheses when the results are actually due to chance (false positive)

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12
Q

what is a type 2 error?

A

accepting the null hypothesis when the results were not due to chance (false negative)

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