Stats Flashcards

1
Q

What is nominal data?

A

Data that is categorical e.g. gender, colour

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2
Q

What is ordinal data?

A

Data that has a natural order e.g. position in a race

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3
Q

What is continuous data?

A

Data that is on a scale where differences between intervals are always the same e.g. height

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4
Q

What is the independent variable?

A

Variable manipulated by the experimenter - the one you use to test effects on the dependent variable

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5
Q

What is the dependent variable?

A

Variable that you measure

Dependent on the independent variable

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6
Q

What is the confounding variable?

A

Variable that has an effect on the dependent variable but that you are not interested in testing.

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7
Q

What is a between subjects design?

A

Independent samples where each subject is presented in a different condition

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8
Q

What is a within subjects design?

A

Related samples where each participant receives all conditions

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9
Q

What is inter-observer reliability?

A

Do 2 people get the same result when examining the sample?

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10
Q

What is intra-observer reliability?

A

Does one person get the same result when examining the sample at different times?

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11
Q

From basic tests how do you work out if the data is normally distributed?

A

Do a mean, median and mode test.

If all values are relatively similar data is normally distributed.

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12
Q

What tests determine whether data is normally distributed?

A

Kolmogorov-Smirmoff Test

Shapiro-Wilk Test

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13
Q

What tests do you use to test the means of two sets of data for differences?

A

Two independent sample t-test

Two paired smaple t-test

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14
Q

What test do you use to test the variance of two sets of data?

A

One sample t-test

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15
Q

What test do you use to test the means of more than two sets of data for differences?

A

One way ANOVA

Two way ANOVA

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16
Q

What do the terms one sided/two sided (tailed) mean when describing hypotheses?

A

One tailed - can be answered with yes or no e.g. “a happy dog will eat more” - tells you what type of effect there will be
Two tailed - can be answered with different outcomes e.g. “mood affects the appetite of dogs” - tells you there will be an effect

17
Q

What is a type 1 error?

A

Rejecting the null hypothesis when it is true

aka diagnosing a male as pregnant

18
Q

What is a type 2 error?

A

Failing to reject the null hypothesis when it is false

aka telling a pregnant lady she is not pregnant

19
Q

If your data was non-parametric what test would you do instead of an independent samples t-test?

A

Mann-Whitney U test

20
Q

If your data was non-parametric what test would you do instead of a paired samples t-test?

A

Wilcoxon Signed-rank test

21
Q

What does it mean if a study is under-powered?

A

Too little data collected so nothing looks statistically significant

22
Q

What does it mean if a study is over-powered?

A

Too much data collected so everything looks statistically significant

23
Q

What two forms do you need to give the participants of your study?

A

Ethics consent form

Participant information sheet

24
Q

How do u calculate the mean?

A

Add all numbers divide by sample size

25
Q

How do u calculate mode?

A

Most common number

26
Q

How do u calculate median?

A

Middle number

27
Q

How do u calculate standard deviation?

A

Work out the Mean (the simple average of the numbers)
Then for each number: subtract the Mean and square the result.
Then work out the mean of those squared differences.
Take the square root of that and we are done!

28
Q

What does standard deviation show?

A

How spread out the data is from the mean
High SD = very spread out
Low SD = little spread