COURSE OBJECTIVES:

1. Introduce the students to biostatistical methods and the role they can play in decision making for public health majors.

3. Enable students to determine how to select an appropriate statistical application.

4. Enable students to interpret the results of a statistical application.

STUDENT LEARNING OBJECTIVES:

1. Recognize the difference between qualitative and quantitative data outcomes.

2. Select the appropriate graphical presentation for a set of data.

3. Describe the graphs of frequency distributions.

4. Compute measures of central tendency (mean, median, mode) and variability (variance,

standard deviations).

5. Recognize the difference between discrete and continuous random variables.

6. Select and apply the appropriate probability distribution (Binomial, Poisson, Normal) to measure uncertainty of a health outcome.

7. Construct and interpret confidence intervals to estimate average outcomes.

8. Determine the appropriate sample size needed for a valid estimation procedure.

9. Differentiate between the research, null, and alternative hypotheses.

10. Construct one and two sided hypotheses.

11. Identify the following components of a statistical test of significance: type I and type II error, significance level, p-value, and power.

12. Perform one sample, two sample, and paired t-tests for means.

13. Perform one sample and two sample Z test for proportions.

14. Perform the Chi-square test for a single poulation variance.

15. Perform the F-test to compare two variances.

16. Calculate Power and sample sizes for one and two means.