exam1_review - Relationship between p value and...

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STA3024 Section 1053 EXAM 1 REVIEW Exam date is 05/23/2011 and time is 9:30AM – 10:45AM The full review can be divided into three steps. All complicated formulas except the simplest ones will be provide to you on the exam. z,t, and Chi- Squared tables will also be provided. 1. Before studying anything else please be sure that you understand those concepts extremely well and that you are ready for both computational and conceptual question about those topics. Sample Mean. Probability and Independence. Complementary events. Conditional probability. Working with the z table. Working with the t table. Working with Chi-Squared table. Type I and Type II errors. Relationship between alpha level and Type I error. Variable types. Conceptual differences. Central Limit Theorem (CLT) Confidence Interval (CI) Interpretation. The length of the confidence interval. Hypothesis testing procedure that includes five steps. Identifying or estimating the p value.
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Unformatted text preview: Relationship between p value and correspondent t,z or chi-squared score. Contingency table theory. Relationship between rows sums, columns sums and table counts. Pearson Chi-Squared test and the motivation for it. Working with conditional probabilities in contingency table. Observed and expected counts in contingency table. Chi-Squared test and degrees of freedom. Performing of the full test procedure. 2. Next steps includes reading very carefully all the chapters of the notes posted online. That includes Chapters 1, 2, 3. It is recommended to put emphasis on examples (practice) and definition (concepts). You are expected to understand every typed world in those 3 Chapters. 3. Read HW1 and HW2 carefully. You need to understand every problem that was assigned and you need to be ready for something similar computationally and conceptually. If time permits please look at the suggested problem but leave those for the last moment....
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This note was uploaded on 01/08/2012 for the course STA 3024 taught by Professor Ta during the Summer '08 term at University of Florida.

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