Course Outcomes

• Recall the types of data and when to use which type of data.
• Remember when to use which type of charts and graphs.
• Understand various measures of central tendency, dispersion, skewness, and kurtosis. Summarize the information in the data using different charts and summary measures. Understand the measures of correlation.
• Apply the theory of descriptive statistics and probability theory to various real-life situations. Apply various probability distributions to real-life situations.
• Explain the definition of independence of events, the concept of conditional probability, and Bayes’ theorem. 
• Evaluate the relationship between the variables and apply regression analysis to the real-life data.
• Formulate univariate and bivariate probability distributions.