The course introduces students to various methods of data collection, presentation, analysis and interpretation of scientific data. Data collection methods include experimentation, field surveys, and direct observations. Concept of statistics, importance and misuse of statistics, sampling and its importance, sampling methods (simple random, systematic and stratified sampling) will be considered. Various types of data presentation (bar graph, pie chart, histogram, line graph, polygons and tables) will be discussed. Other areas are scales of measurement (nominal, ordinal, interval, ratio), measures of central tendency (mean, median, stem-and-leaf plot and box plots) and measures of dispersion (range, quartiles, inter-quartile range, percentiles, standard deviation, standard error, coefficient of variation).