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27 Cards in this Set
- Front
- Back
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degrees of freedom
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amount of flex you have to change the values of some observations of certain properties of the data are fixed
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sum of squares
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amount of spread can be found by finding the difference b/w each individual value and the mean, then squaring each difference then sum squared differences together
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variance
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sum of squares divided by degrees of freedom
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one-tailed
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directional
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two-tailed
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non directional
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correlation coefficient (r)
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describes the degree of association b/w two sets of paired values (r)
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correlation (r)
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the degree to which two variables are related
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regression
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finds the best line that predicts y from x
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type I error
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incorrectly rejecting the null
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type II
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retaining the null when its wrong
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standard error
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measurement of uncertainty, increases with the variability of the data but decreases as more data is collected
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null hypothesis
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proves no statistical significance exists in a given set of observations
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alternative hypothesis
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reflects that there will be an observed effect
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representative sample
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represents the population which it was "sample" from. there is evidence enough to indicate that this sample is representative of the population
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statistical significance
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set of data big enough to represent the population being studied. a finding is statistically significant if the probability of its occurrence in less then 5%
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proportionate stratified random sampling
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each section in this technique is proportionate to the population size
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disproportionate stratified random sampling
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different sections have different sampling fractions
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how can a sample fail
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biased, not representative
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Levenes test
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influential statistic used to access the equality of variance in different samples
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standard deviation
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difference from the mean
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authentic
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the way they look is the way they really are, b/w the independent and the dependent
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spurious
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original relationship is fake or phoney
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intervening
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independent affects the test variable, which influences the dependent
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interaction
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partial relationships are different from one another the independent and the dependent variables change
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one sample t-test
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the difference b/w a sample mean and the hypothesized value and then considers the probability that the difference arose by chance
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independent
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x axis
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dependent
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y axis
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