PSYC 1010 Chapter Notes - Chapter 7: Null Hypothesis, Dependent And Independent Variables, Standard Score
Document Summary
Z test- a hypothesis test in which we compare data from one sample to a population for which we know the mean and the standard deviation. Provides the percentage of scores between the mean and a given z value. The key to standardization- allows us to translate the standardized z distribution into percentages and individual z scores into percentile rankings. About 68% of scores fall within one z score of the mean. About 96% of scores fall within two z scores of the mean. Nearly all scores fall within three z scores of the mean. Three different ways to identify the same point beneath the normal curve : Determining the % associated with a given z statistic : Convert a raw score into a z score. Look up a given z score on the z table to find the percentage of scores between the mean and that z score. Calculating the percentile for a positive z score.
