# د. خالد بن متعب بن عاصم المطيري

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 Item Content Course Title and Code Advance Bio-statistics STA 312 Duration 1 Semester (3 hrs. x 15 weeks = 45 hrs.) 1 Credited hours/ week (P) 15 hours/ semester 2 Actual hours/ week (P) 30 hours/ semester in SPSS applications in Computer Lab. Level Second Year / Second Semester / Level 4 Teaching Staff Required Professor or lecturer of Satistics Objectives At the end of the course, the students should be able to: 1.     Use The SPSS applications. 2.     Use inferential statistics as tools to help answer research questions. 3.     Develop an understanding of hypothesis testing and probability theory. 4.     Compute t-tests, analysis of variance, and correlations with competence. 5.     Select statistical tests that are appropriate for particular research designs. 6.     Emphasize statistic examples and applications from the health science fields. 7.     Critically evaluate the results of scientific studies. 8.     Design, conduct, and analyze a scientific research study. Main Subjects -      Introduction to Hypothesis Testing -      Introduction to the t Statistics -      Hypothesis Tests with two Independent Samples -      Hypothesis Tests with Related Samples -      Estimation -      Introduction to anaylsis of Variance -      Repeted-Measures Analysis of Variance (ANOVA) -      Two-Factor Analysis of Variance (Independent Meaures) Main Teaching Strategies -      Lecture -      Audiovisual -      Group discussion Methods Of Assesment -      Quizzes, monthly, midterm, and final written exams -      Term paper References Statistics for the Behavioral Sciences (6th edition), Frederick J. Gravetter, Larry B. Wallnau Quantitative Analysis for Management (9th Edition) Render, Stair, and Hanna

Curriculum Contents:

 Unit Content Hour 1 Introduction to Hypothesis -         The Logic of Hypothesis Testing -         Uncertainty and Errors in Hypothesis -         An Example of a Hypothesis Test -         Directional (One-Tailed) Hypothesis Test -         The General Elements of Hypothesis Testing: A Review -         Statistical Power 6 2 Introduction To T-statistics -         Overview -         The T-statistics - A Substitute for Z -         Hypothesis Tests With the T-statistics 3 3 Hypothesis Tests With Two Independent Samples -         Overview -         The T-statistics for Independent-Measures Research Designs -         Hypothesis Tests with the Independent-Measures T-statistics -         Assumptions Underlying the Independent-Measures T-formula 6 4 Hypothesis Test With Related Samples -         Overview -         The T-statistic for Related Samples -         Hypothesis Tests for the Repeated-Measures Design -         Hypothesis Testing with Matched-Subjects Design -         Uses and Assumption for Related-Samples T-tests 3 5 Introduction to Analysis of Variance -         Introduction -         The logic of Analysis of Variance -         ANOVA Vocabulary, Notation, and Formulas -         The Distribution of F-ratios -         Examples of Hypothesis Testing with ANOVA -         Post Hoc Tests -         The Relationship Between ANOVA and T-tests 6 6 Repeated-Measures Analysis of Variance (ANOVA) -         Overview -         Notation and Formulas for Repeated-Measures ANOVA -         Testing Hypothesis with the Repeated-Measures ANOVA -         Advantages of the Repeated-Measures Dessign -         Assumptions of the Repeated-Measures ANOVA 6 7 Two-Factor Analysis of Variance (Independent Measures) -         Overview -         Main Effects and Interactions -         Notations and Formulas -         Examples of the Two-factor ANOVA -         Assumptions for the Two-factor ANOVA 3 8 Correlations and Regression -         Overview -         The Pearson Correlation -         Understanding and Interpreting the Pearson Correlation -         Hypothesis Tests with the Pearson Correlation -         The Spearman Correlation -         Other Measures of Relationship -         Introduction to Regression 6 9 The Chi-square Statistics: Tests For Goodness of Fit and Independent -         Parametric and Non-Parametric Statistic Tests -         The Chi-square Test for Goodness of fit -         The Chi-square Test for Independent -         Assumptions and Restrictions for Chi-square Tests -         Special Applications of the Chi-square Tests 6

### Lectures

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Ch_6bio29790
Ch_1bio29790
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Ch_4bio29790

### Exams & Key Answers

 Type
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Final Examination Example29790
First Month Test29790
Second Month Test29790
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