Data Analysis and Statistics I

The course covers the sources of official data as well as descriptive statistics and how to draw conclusions about the distribution of data using graphs. Besides that, data tabulation and the principles of drawing conclusions from two-way tables are treated. The course also covers how to summarize data using measures of center, spread and association, and how to analyze data using normal distribution. The principles of data collection by experiments and sampling are also covered in the course as well as how to analyze association between variables using scatter plot, simple linear regression, measures of correlation, and two-way tables. The concepts of random event, probability, random variable, and the basic rules of probability are also covered. Covered in the course are also estimates of means and proportions and their sampling distributions, as well as normal approximation and the central limit theorem. Estimates of differences between two proportions and two means and confidence intervals for mean, proportion, and the difference between two proportions and between two means are covered as well as how to draw conclusions based on confidence intervals. The use of statistical software is also included in the course contents.