Course Outcomes |
Learning and teaching strategies |
Assessment Strategies |
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On completion of this course, the students will be able to: CO111: Integrate the understanding of statistics and graphical representation of data CO112: Define and identify basic concepts in inferential and descriptive statistics. CO113: Explain and apply the concepts and procedures of Dispersion. CO114: Describe and utilize principles of relational studies. CO115: Apply and interpret common inferential statistical tests and correlational methods. |
Approach in teaching: Interactive Lectures, Discussion, Tutorials, Reading assignments, Demonstration, Team teaching Learning activities for the students: Self-learning assignments, Effective questions, Simulation, Seminar presentation, Giving tasks, Field practical |
Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects |
Introduction to Statistics; Descriptive and Inferential Statistics; Variables and Constants; Measurement Scales; Constructing a Grouped Frequency Distribution
Graphic Representation of Data: Basic Procedures; The Histogram; The Frequency Polygon; The Bar Diagram; The Pie Chart; The Cumulative Frequency Graph
The Mode; The Median; The Mean; Properties and Relative Advantages and Disadvantages of the Mode, the Median and the Mean
The Range; The Interquartile and the Semi-Interquartile Range; The Variance; The Standard Deviation; Calculation of Standard Deviation from Raw Scores and Grouped Scores; Properties and Comparison of Measures of Variability
The Meaning of Correlation; Historical Perspective; Correlation: A Matter of Direction; Correlation: A Matter of Degree; The Coefficient of Correlation; Calculating Pearson’s Correlation Coefficient from Deviation Scores; Calculating Pearson’s Correlation Coefficient from Raw Scores; Spearman’s Rank-Order Correlation Coefficient; Correlation and Causation
The Nature and Properties of the Normal Probability Distribution; Standard Scores and the Normal Curve; The Standard Normal Curve: Finding areas when the score is known; The Standard Normal Curve: Divergence from Normality (Skewness and Kurtosis)
Suggested Readings
E Resources
Journals