PSYC 1010 Chapter Notes - Chapter 7: Null Hypothesis, Standard Score, Raw Score
8 Dec 2013
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Document Summary
A z-test is a hypothesis test in which we compare data from one sample to a population for which we know the mean and the standard. Hypothesis testing allows us to draw conclusions about the data we have collected to test a hypothesis. There are three different ways to identify the same point beneath the normal curve with the z rest: raw score, z score, percentile ranking. The z table is a tool that allows us to transition from one to another of these ways to identify a point, and it is a fundamental to of hypothesis testing. The z table allows us to translate the standardized z distribution into percentages and individual z scores in percentile ranks. The z scores on the table don"t have negatives: so you just subtract 50 for the percentage of the z table corresponding to your z score. Or add it depending on what you want to find and the numbers.
