B.Sc. in Statistics (STM121)

Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall the principle of counting, describe random and non-random experiment. CO2 UNDERSTANDING Explain basic concepts of probability. Create sample space for some random experiment and identify the events and their types. Understand the types of random variables. CO3 APPLYING Apply the theory of probability to various real-life situations to find the probability of different types of events. CO4 ANALYSING Explain definition of independence of events, concept of conditional probability, Bayes’ theorem. CO5 EVALUATING Justify the random variables in given situation and find the mathematical expectation and moment generating function. CO6 CREATING

B.Sc. in Statistics (STSEC116)

Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Remember Excel shortcuts CO2 UNDERSTANDING Understand Excel formulas (relative and absolute). Understand basic functions of Excel. CO3 APPLYING Describe the sample data with suitable Excel functions like sum, average, median, var, stdev, etc. CO4 ANALYSING Analyze the sample data from various domains using Excel. CO5 EVALUATING Summarize the data using suitable charts and graphs. Summarize the data using Excel basic functions. CO6 CREATING Students can visualize the data graphically and summarize the data numerically for real-life data analysis problems.

B.Sc. in Statistics (STE113)

Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall the concept of Statistical Population and Sample. Recall the types of data and when to use which type of data. Remember when to use which type of charts and graphs. CO2 UNDERSTANDING Understand and Summarize the information in the data using different charts and summary measures. CO3 APPLYING Describe the sample data with appropriate charts and diagram. CO4 ANALYSING Analyze the sample data from various domains through exploratory data visualization and summary measures. CO5 EVALUATING Organize and summarize the information by suitable presentation and computation. CO6 CREATING Students can visualize the data graphically and summarize the data numerically for real-life data analysis problems.

B.Sc. in Statistics (STM112)

Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall the concept of Statistical Population and Sample. Recall the types of data and when to use which type of data. Remember when to use which type of charts and graphs. CO2 UNDERSTANDING Understand various measures of central tendency, dispersion, skewness, and kurtosis. Summarize the information in the data using different charts and summary measures. CO3 APPLYING Describe the sample data with suitable central tendency, dispersion, skewness, and kurtosis measures. CO4 ANALYSING Analyze the sample data from various domains through exploratory data visualization and summary measures. Analyze qualitative data. CO5 EVALUATING Organize and summarize the information by suitable presentation and computations. CO6 CREATING Students can visualize the data graphically and summarize the data numerically for real-life data analysis problems.

B.Sc. in Statistics (STM111)

Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall the concept of Statistical Population and Sample. Recall the types of data and when to use which type of data. Remember when to use which type of charts and graphs. CO2 UNDERSTANDING Understand various measures of central tendency, dispersion, skewness and kurtosis. Summarize the information in the data using different charts and summary measures. CO3 APPLYING Describe the sample data with suitable central tendency, dispersion, skewness and kurtosis measures. CO4 ANALYSING Analyze the sample data from various domains through exploratory data visualization and summary measures. Analyze qualitative data. CO5 EVALUATING Organize and summarize the information by suitable presentation and computations. CO6 CREATING Students can visualize the data graphically and summarize the data numerically for real-life data analysis problems.