Chapter 10 notes - Chapter 10 Analyzing Experimental Data...

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Chapter 10 Analyzing Experimental Data
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Why do we have to learn Statistics? Statistics is an integral part of the research process Basic knowledge of statistics is essential for understanding most journal articles Focus in this course on understanding the conceptual aspects of these analyses – not the mechanics
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Why do we conduct statistical analyses? To assess if the Independent Variable had any effect on the Dependent Variable One way to assess this systematic variance is to examine the means for the different groups or conditions. Example: Do marijuana users have differences in memory compared to non-users? Comparison of the means on a memory test
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The Problem: Error Variance can cause mean differences The means of the experimental conditions may differ even if the IV does not have an effect Even when confounds are controlled for the means can be significantly different due to error variance How big a difference between the means do we need to observe in order to conclude that the IV has an effect and that the difference is not just due to error variance?
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The Solution of Inferential Statistics Given that we always expect that some error variance will be present, how do we determine if the differences between the means of the conditions is due to the IV (systematic variance) or due to random differences between the groups (error variance)
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The Solution of Inferential Statistics We start by estimating how much means of the condition are expected to differ even in the IV has no effect We can conclude that the IV has an effect when the differences between the means of the experimental conditions is larger than what we expect it to be when
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