Distributions and statistical inference

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  • Created by: k4te18
  • Created on: 14-05-18 15:17
What the general shape of data looks like
distribution
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When more scores are around the mean
normal distribution
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When the sample doesn't represent the whole population
sampling error
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People participating in a study
sample
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People we're interested in generalising to
population
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Whether the distribution is too wide or thin
kurtosis
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How many standard deviations a certain score is from the mean
z-scores
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People selected from a population at random
random sampling
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When people who are already available to you are recruited
convenience sampling
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Participants recruit others they know into the study
snowball sampling
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Represents deviation of individual scores from the sample mean
standard deviation
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Represents deviation of sample means from the population mean
standard error of the mean
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The idea that the variables are not related
null hypothesis
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The idea that the variables are related in some way
alternative hypothesis
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Other cards in this set

Card 2

Front

When more scores are around the mean

Back

normal distribution

Card 3

Front

When the sample doesn't represent the whole population

Back

Preview of the front of card 3

Card 4

Front

People participating in a study

Back

Preview of the front of card 4

Card 5

Front

People we're interested in generalising to

Back

Preview of the front of card 5
View more cards

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