GLHLTH 371 Lecture Notes - Lecture 9: Standard Deviation, Null Hypothesis, Effect Size
9 May 2016
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Test will be mostly multiple choice, some calculations, and then interpreting a table. Don"t need to memorize or know things from readings, they are just to understand the applications of the research methods. Variance: describes how much scores vary around the mean a. i. Scores tightly clustered = small variance: variance calculation b. i. Find the mean of all the values b. ii. Find difference between each score and the mean b. iii. Makes sure there are no negative values b. iii. 2. Find the sum of the squares b. v. divide by n if it is the whole population, divide by n-1 if it is a sample and not the whole population; this yields the variance b. vi. Then take the square root of this (the variance) to get the standard deviation: be able to calculate: c. i. Alpha level: increasing alpha, increases power; increasing likelihood that you would be able to reject the null-hypothesis d. ii.
