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This 1 page Class Notes was uploaded by Kaitlin Cornell on Sunday August 14, 2016. The Class Notes belongs to PSH 322 at SUNY College at Brockport taught by Dr. Forzano in Fall 2016. Since its upload, it has received 13 views. For similar materials see Learning in Psychology at SUNY College at Brockport.
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Date Created: 08/14/16
Statistics 4.20.2016 1. Why you need inferential statistics a. Studying a large population b. Can’t study everyone in the population so you select a sample to be studied c. We don’t want to study the average for just the sample; we want the average of the population 2. Notation a. Have to distinguish between sample statistics and population statistics i. Average of the sample: ӯ ii. Average of the population: µ iii. Percentage in the sample (% or p) iv. Percentage in the population (π or pi) v. Standard deviation of the sample: s vi. Standard deviation of the population: vii. Regression of the sample: r viii. Regression of the population: β 3. Always want to find mew µ 4. Sampling error: inaccuracy that occurs simply due to the fact that we are using sample data a. Very unlikely that your sample statistics will correspond exactly with the population data 5. Confidence intervals – margin of error 6. Bell curve a. Population statistic is the middle of the bell curve b. Higher side is to the right c. Lower side is to the right d. High probability that our sample statistic was in the vicinity of the true population statistic e. Low probability that our sample statistic was not within the vicinity of the true population statistic