CSU PSY 100 - Week 6 (37 pages)

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Week 6



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Week 6

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Pages:
37
School:
Colorado State University- Fort Collins
Course:
Psy 100 - General Psychology (GT-SS3)

Unformatted text preview:

Week 6 Introducing Inferential Statistics Null and Alternative Hypotheses What s a hypothesis How do we define it What roles do samples and populations play in hypothesis testing o How do we get from population parameters to sample statistics and vice versa Describe the general process as outlined in your text Explain the idea of the unknown population What does it mean if we conclude that our sample is more likely to have come from the unknown population than the known one What is the definition of the null hypothesis What symbol do we use to represent the null What is the definition of the alternative hypothesis What symbol do we use to represent it By default which hypothesis do we always assume is true unless we have evidence to the contrary What is the alpha level What is the critical region How are these related o Is alpha always 05 Why or why not When do we reject the null hypothesis When if ever do we prove it Type I Error and Statistical Significance What is the difference between Type I and Type II error How is each one defined o Be able to identify examples of each What are the consequences of Type I error Why do we worry about it o Should we aim to eliminate Type I error or minimize it Why How is our alpha level related to Type I error Be as specific as you can here o How does the alpha level relate to the likelihood that we will reject the null hypothesis What do we mean when we say that a finding is statistically significant Be precise here this is a case where it s a good idea to memorize the exact phrase o What two common misconceptions about significance did we discuss in class Why are these wrong How is the correct definition different What is a p value What does the p stand for If nothing then what will it fall for o This is another place where it s important to be precise what is the correct way to interpret a p value What is practical significance How is it related to statistical significance if at all o How do we determine whether our results



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