Aims & Learning Objectives:
Aims: To understand the principles of statistics as applied to Biological problems.
Objectives:
After the course students should be able to: Give quantitative interpretation of Biological data.
Content:
Topics: Random variation, frequency distributions, graphical techniques, measures of average and variability. Discrete probability models - binomial, poisson. Continuous probability model - normal distribution. Poisson and normal approximations to binomial sampling theory. Estimation, confidence intervals. Chi-squared tests for goodness of fit and contingency tables. One sample and two sample tests. Paired comparisons. Confidence interval and tests for proportions. Least squares straight line. Prediction. Correlation
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