HPED 2030 Lecture Notes - Lecture 21: Repeated Measures Design, Random Assignment, Time Series
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Please find a comprehensive list of topics covered in class that will be included in the final. If you have a good understanding (ability to explain, identify, calculate etc. ) of each point listed below you will be well prepared for the midterm. Topic 13: type i & type ii errors: define a type i and type ii error. Topic 14: confidence intervals: define point estimate, confidence level and margin of error, define interval estimate (confidence interval, compute and interpret confidence intervals for means at various confidence levels. Topic 15: correlation: define a correlation and identify the relationship types, apply the pearson correlation coefficient to research questions. Topic 16: inferential statistics parametric (independent t-test) Identify when it is appropriate to use parametric tests: compute and interpret comparison of groups using the independent t-test, explain the findings and limitations of a statistically significant result. Identify when it is appropriate to use non-parametric tests.