**1**. Distinguish between categorical variables without order, categorical riables with order and

continuous variables.

**2**. Select the appropriate graphic presentation for a set of data and generate the graph.

**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' Law).

**6**. Use the binomial and normal distributions to assess the probability and uncertainty of

health outcomes.

**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 two 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.