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When are inferential statistics used?
When psychologists wish to make inferences about collected data in order to estimate the likelihood that the data collected occurred due to chance or to draw conclusions about a larger population from which the sample was collected

What are parametric tests?
 More powerful and robust methods of analysis
 More accurate estimates of probabilities are collected, making type 1 and 2 errors less likely to occur

In order for data to be parametrically tested, what criteria must be met?
 The data must be precise, interval level of measurement
 Scores must be drawn from a normal distribution of the population with few scores at both ends and more in the middle
 The variability of the two sets of the scores must be similar

How could a researcher test the distribution of data collected?
 The mean, median and mode are compared
 If the data is of a normal distribution, these figures should be similar

What is the homogeneity of variance?
The standard deviation^{2
}

How might one measure the variability of the data sets collected?
 The range
 The standard deviation
 The variance
 Dot plot or box plots

What requirements must be met in order for non parametric tests to be employed?
 The data must be nominal or ordinal
 Results must be of a skewed distribution
 There must be a wide variance in scores between two sets

What questions should you ask yourself before choosing a statistical test?
 Am I looking for a difference between scores or a correlation?
 What type of design have I used?
 What level of measurement have I used?

