PSY30100 Lecture Notes - Lecture 7: Statistical Parameter, Standard Deviation, Sampling Distribution
Document Summary
Sampling distribution of sample mean parameters - , m. In a normal distribution, 95% of scores are within 1. 96 sd of the mean. Similarly, in a normal sampling distribution of sample means, 95% of m will be within 1. 96 m of . Hence, in 95% of samples, m is 1. 96 sd away from the unknown population mean ( ) Confidence interval a range of values with an associated confidence level c. the probability calculated quantifies the confidence that can be placed in the results of a sample. Where z is the standard score which encompasses c on both sides of =0. E. g. z= 1. 96 includes 95% of scores in a normal curve. Confidence intervals contain in c% of samples. Different areas under the curve will give different confidence levels in m. Confidence level c helps determine z which can then be used to estimate margin of error between m and .
