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BIOS 6030 – INTRODUCTORY BIOSTATISTICS Course Learning Objectives The student will be able to 1. Distinguish between categorical variables without order, categorical variables with order and continuous variables. 2. Use the appropriate tables and graphical presentation for a set of data. 3. Construct frequency distributions. 4. Compute measures of central tendency (Mean, Median, and Mode) and variability (Variance, Standard Deviation). 5. Select and use the appropriate laws of probability (additive, multiplicative, Bayes theorem). 6. Select and apply the appropriate distribution (Binomial, Normal) to measure uncertainty of a health outcome. 7. Construct and interpret confidence intervals around means. 8. Differentiate between the research, null and alternative hypotheses. 9. Construct one and two-sided hypotheses. 10. Identify type I and type II errors, significance level, p value and power. 11. Determine the sample size needed for one- and two-sample tests on means. 12. Perform and interpret one-sample, two-sample, and paired t tests on means. 13. Perform and interpret the normal theory two-sample test of proportions. 14. Perform and interpret the F test to compare variances. 15. Perform and interpret chi square tests of independence. 16. Compute the least squares estimate of slopes and intercepts for simple linear regression. 17. Test the hypothesis that a simple linear regression is significant. 18. Compute and interpret Pearson product moment correlation coefficients. 19. Construct graphs, charts and tables to communicate the results of statistical analyses for decision making purpose. 20. Perform, present, and interpret basic statistical analyses using EXCEL Updated 07/17/2014