A) T-tests Flashcards

1
Q

in what situation can the T-Test be used (2)

A
  • our dependent variable is continuous (interval/ratio)
  • our independent variable is categorical (two distinct experimental conditions)
    we want to know if this DV differs between two experimental condiions
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2
Q

why is the t test a type of null hypothesis significance testing

A

it asks what the probability of the observed data is (eg the differences between out conditions) given that the null hypothesis is true

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3
Q

null hypothesis

A

there is no differences between experimental conditions

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4
Q

alternative hypothesis

A

there will be a difference between the experimental conditions

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5
Q

when do we use a t-test

A

when we have collected data in two experimental conditions and we want to understand whether the means of those conditions differ a little or a lot

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6
Q

what do we do in t-tests

A
  • look at mean difference and compare it to the difference we would expect in the population if the null hypothesis is true
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7
Q

standard deviation meaning

A

the average distance between data points and the mean

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8
Q

what is a t test

A

parametric statistical test that compares two groups
- used to test whether two means differ. is there a difference between experimental conditions
central tendency
- considers how much variability is in the data (standard deviation)
dispersion

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9
Q

what type of t test will be used in the experimental design: matched pairs and repeated measures

A

paired samples t test

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10
Q

what type of t test will be used in the experimental design: independent groups

A

independent samples t test

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11
Q

what type of t test will be used in the experimental design: one sample

A

one samples t test

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12
Q

paired samples t test

A

to compare mean scores from two conditions within the same participants or matched sets of participants

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13
Q

independent samples t test

A

to compare scores of two groups eg two independent sets of participants

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14
Q

one sample t test

A

to compare the mean of a single sample to a comparison or test value

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