#### Stat 109

**W1: **Introduction to bio-statistics.**W2: **Types of data and graphical representation.**W3: **Descriptive statistics: measures of Central tendency- mean, median, mode ( Excluding stem plot percentiles).**W4: **Measures of dispersion-range, standard deviation, coefficient of variation ( Excluding stem plot percentiles).**W5: **Calculating measures from an ungrouped frequency table (Excluding stem plot percentiles).**W6: **Basic probability, conditional probability, concept of independence, sensitivity, specificity.**W7: **Bayes theorem for predictive probabilities.**W8: **Some discrete probability distributions: cumulative probability.**W9: **Binomial and Poisson -their mean and variance (Excluding the use of binomial and Poisson tables).**W10: **Continuous probability distributions: Normal distribution.**W11: **Standard normal distribution and t-distributions.**W12: **Sampling with and without replacement, sampling distribution of one and two sample means and one and two proportions (Excluding sampling without replacement).**W13: **Statistical inference: Point and interval estimation, Type of errors, Concept of P-value (Excluding variances not equal.**W14: **Testing hypothesis about one and two samples means and proportions including paired data – different cases under normality. (Excluding variances not equal).