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Things to Remember - Research Statistics.docx

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University of Guelph
PSYC 2040
David Stanley

Things to Remember - Research Statistics Introduction Parameter - describes the population Statistic - describes the sample Unbiased Estimate - mean of all of the possible values is equal to the parameter (biased is when it is not equal) Standard Deviation - amount that score differs from population mean Standard Error - amount that sample means differ from population mean due to effects of random sampling, equal to the standard deviation divided by the square root of the sample size Degrees of Freedom - number of values that are allowed to vary in data set Central Limit Theorem - regardless of shape, sample means will always be normal as long as we have large sample sizes Single Sample T-Tests Assumptions: population is normal, random sampling P-value tells us probability of finding a t-value that big if the population mean is equal to the hypothesized mean (p = .00 means there is a 0% chance of getting that value if the population mean equals the hypothesized mean therefore we reject the null). T-value tells you difference between the hyp
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