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1. What is the relationship between the power of a statistical test and decision errors?
2. If workers' productivity is analyzed in terms of whether or not they took a training course and which shift they work, how many Fs will be calculated?
3. Which is the symbol used for the test statistic in ANOVA?
4. The one-sample t-test differs from the z-test in which way?
5. If experience (yes/no) and department are independent variables in an analysis of productivity, where would variance related to experience have emerged beforehand?
6. How do statistical tests like the one sample t adjust for the absence of parameter values?
7. What happens when independent variables interact?
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