Ffffff
THE UNIVERSITY OF HONG KONG HKU SPACE Community College Associate Degree Programmes 2012-13 Course Document Course Title: Quantitative Analysis I
Course Code: C C 8 8 2 2 8 0 0
Aims and Objective This course is designed to provide students with an introduction to statistical knowledge as applied to business and daily situations and to equip them with the essential skills to identify and apply appropriate techniques to solve problems. Students will be exposed to concepts such as sampling techniques, graphical presentations, statistical measures, counting rules and classical probability distribution. Learning Outcomes of the Course On completion of the module, students should be able to ILO1. distinguish between population and sample; apply the different sampling techniques to select a sample; ILO2. compute central tendency measures as the arithmetic mean, median and mode; ILO3. compute dispersion measures as the range, interquartile range, standard deviation and variance; ILO4. define probability of a simple event; correctly use the concepts of conditional, independent, mutually exclusive events , and apply the multiplication and addition rules to perform probability computations; ILO5. compute binomial and Poisson probabilities, the expected value and standard deviation of a binomial and Poisson experiment; ILO6. compute probabilities for a normal distribution and determine normal scores from specific probability requirements. Syllabus
1.
Data collection and sampling Data collection Taking a census Sampling Methods of selection a sample Simple random sample Systematic sampling Stratified sampling Summarizing Data Dot Diagrams Stem-and-Leaf Displays Frequency Distributions Graphical Presentations
2.
3.
Statistical Descriptions Measures of Location The mean The weighted mean The median The mode Measure of Variation The range The standard deviation Quartiles Box-and-Whisker Plots Possibilities and Probabilities Permutations Combinations Probability
Course Code: C C 8 8 2 2 8 0 0
Aims and Objective This course is designed to provide students with an introduction to statistical knowledge as applied to business and daily situations and to equip them with the essential skills to identify and apply appropriate techniques to solve problems. Students will be exposed to concepts such as sampling techniques, graphical presentations, statistical measures, counting rules and classical probability distribution. Learning Outcomes of the Course On completion of the module, students should be able to ILO1. distinguish between population and sample; apply the different sampling techniques to select a sample; ILO2. compute central tendency measures as the arithmetic mean, median and mode; ILO3. compute dispersion measures as the range, interquartile range, standard deviation and variance; ILO4. define probability of a simple event; correctly use the concepts of conditional, independent, mutually exclusive events , and apply the multiplication and addition rules to perform probability computations; ILO5. compute binomial and Poisson probabilities, the expected value and standard deviation of a binomial and Poisson experiment; ILO6. compute probabilities for a normal distribution and determine normal scores from specific probability requirements. Syllabus
1.
Data collection and sampling Data collection Taking a census Sampling Methods of selection a sample Simple random sample Systematic sampling Stratified sampling Summarizing Data Dot Diagrams Stem-and-Leaf Displays Frequency Distributions Graphical Presentations
2.
3.
Statistical Descriptions Measures of Location The mean The weighted mean The median The mode Measure of Variation The range The standard deviation Quartiles Box-and-Whisker Plots Possibilities and Probabilities Permutations Combinations Probability