Independent Samples/ Between Samples T Test Flashcards

1
Q

What experimental design is used to independent t tests and what type of data

A

Between subjects design- independent measures. Continuous ( interval or ratio)using means and SD. Want to find if means sig different to each other. T shows the variance explained by iv/unexplained variance

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2
Q

Diff between parametric and non parametric

A

Parametric are the rules/parameters an experiment has to meet for a test , if fail use non parametric

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3
Q

Independent samples t test assumptions

A

Data are independent, data are interval or ratio, N of at least 12, Normally distributed (Shapiro wilk want data to be not sig diff ) and have homogeneity of variance

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4
Q

The principles of a one samples t test

A

Comparing data from experiment to one single number e.g. scored higher than average

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5
Q

Assumption for a one sample t test

A

Data are independent, data are continuous (interval or ratio), data are normally distributed

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6
Q

How to report results for one sample t test

A

Mean of ps was x plus or minus y. The data met the assumptions of a one sample t test which revealed that this was sig faster than the x of z (t(d.f)=b, p<0.05)

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7
Q

What is the one samples t test non parametric alternative

A

One sample Wilcoxon signed rank test

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8
Q

What is homogeneity of variance and how to run the test

A

Is the variance in condition 1 similar to the variance in condition 2. Tested with levenes test - want no sig diff

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9
Q

What are Q-Q plots / quantile-quantile plots

A

Ordered data sectioned into quantiles p, homogenous data will fall on the diagnal line- for levels test?

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10
Q

Independent samples t test non parametric alternative

A

Mann Whitney U test

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