SIMS 3533: Introduction to Probability and Statistics
The course will introduce the student to some terminologies and basic definitions used in statistics; data collection techniques; methods used in the organization and presentation of data; description of data using statistical tools; calculating and interpreting statistical measures; determining sample spaces, event spaces, and calculate the measure of certainty of different types of events, especially, dependent and independent events.
- Demonstrate knowledge of statistical terms and definitions.
- Differentiate between the two branches of statistics.
- Identify types of data.
- Identify the measurement level for each variable.
- Organize data using frequency distribution.
- Represent data in frequency distributions graphically using histogram, frequency polygons, and gives.
- Summarize data using measures of central tendency, such as the mean, median, mode and midrange.
- Describe data using measures of variation such as the range, variance and standard deviation.
- Identify the position of a data value in a dataset, using various measures of position such as percentiles, deciles and quartiles.
- Describe the shape of a distribution using measures such as skewness and kurtosis.
- Determine sample spaces and find the probability of an event, using classical probability or empirical probability.
- Find the probability of compound events, using the addition rules.
- Find the probability of compound events, using the multiplication rule.
- Find the conditional probability of an event.
- Find the total number of outcomes in a sequence of events, using the fundamental counting rule.
) before class. Makeup exams will only be allowed for excused absences and only when the lecturer is informed before the examination.
- Bluman, A. (2011). Elementary Statistics, A Step by Step Approach. USA: McGraw-Hill.
- 2. Ofosu, J. B. And Hesse, C. A. Introduction to Probability and Probability Distributions. Excellent Publishing & Printing, Ghana.
Continuous Assessment Tests 10%; Mid-semester Exams 10%; Homework/Project 10%; Final Examination 60%; Class Attendance 10% (50% Project Quality; 25% Report; 25% Presentation)