1. Summarize and make appropriate conclusions about data by using appropriate graphical displays and by calculating and interpreting measures of central tendency and dispersion. Calculate z-scores and percentiles.
2. Calculate probabilities of events and unions, intersections and complements of events using basic counting rules and the basic laws of probability.
3. Calculate probabilities using binomial, Poisson and normal distributions.
4. Explain the importance of randomness in sampling, select and apply appropriate sampling techniques.
5. Calculate confidence intervals for population means or proportions from sample data using the normal distribution for large samples and student’s t-distribution for small samples and interpret the result.
6. Test hypotheses concerning population means and proportions using either large or small sample data and interpret results.
7. Calculate confidence intervals and perform hypothesis test for differences in two population means or proportions and interpret the results.
8. Communicate the results of statistical analysis in a clear and concise manner.
9. Be a critical consumer of statistics presented by the media and other sources. Accurately interpret the statistics presented, identify ways in which they might be subject to misinterpretation either intentional or unintentional and apply ethics to the interpretation and presentation of statistics.
10. Apply the concepts addressed in the course to problem solving including problems related to business.