PSYC 110 Lecture Notes - Lecture 3: Null Hypothesis, Statistical Inference, Standard Deviation
7 Sep 2016
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Psych 110 lectures notes 8/30/16 & 9/1/16. This is a summary of how often something occurs. Values are arranged in order of magnitude and frequency. Negative skews are pulled to the left: measure of central tendency. Examples of this are the mean, median, and mode: measure of variability. Also called the bell curve or standard normal distribution . This is a theoretical distribution that is symmetrical, with the mean, median, and mode at the exact center of the graph. A lot of overlap signifies that the independent variable doesn"t affect the dependent variable enough to draw a substantial conclusion. Null hypothesis = no significant difference = huge overlap = iv doesn"t really affect dv. No overlap means the data is sound. This mean the data confirms the hypothesis: a good representative sample of the population should have results with a bell curve distribution, there are 2 types of errors that can occur:
