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Lecture 10

LING 1200 Lecture 10: Lecture 10
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Department
Linguistics
Course
LING 1200
Professor
Erin L.Wilkinson
Semester
Spring

Description
− Must square root because not original unit − Higher the standard deviation, the greater variability among the scores Inferential Statistics: − The Null Hypothesis: a statement asserting that the manipulated independent variable will not have an effect of the dependant variable (no relation between the two variables) − The Alternative Hypothesis: a statement asserting that the manipulated independent variable will have an effect on the dependant variable (relation between two variables) – less likely − Rarely will an experiment produce no difference between conditions (differences are expected to occur due to chance) − Issue is whether the difference is larger enough to warrant rejection of the Null Hypothesis and acceptance on the Alternative Hypothesis in exchange − Normally Distributed: most people cluster around some average value, values that deviate from the average become increasingly improbable − If the Null Hypothesis were true and the experiment were run an infinite number of times then the difference between conditions would be normally distributed with a mean of zero (symmetrical) − Can determine the probability by using the normal distribution of observing a difference of some size in the means scores between experimental conditions, supposing that the Null Hypothesis is true or that the difference is only due to chance − The probability that a mean difference between two conditions could occur due to chance becomes increasingly unlikely as the difference become
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