- Quantitative Analysis - Revision Notes
- 133 pages
- Ideal for students
- Ideal for teachers and private tutors
- Ideal for university
- Statistics
- Statistical modelling
- Modelling process
- Data presentation - constructing a chart, classification of data
- Descriptive statistics - summation notation, averages (mean, median, mode - advantages & disadvantages), spread (variance, standard deviation, range - advantages & disadvantages), histograms
- Probability, probability rules and Bayes’ Theorem - types of probability, nature of events (mutually exclusive, independent, dependent), dependent events and conditional probabilities, non-mutually exclusive events, addition rule, multiplication rule
- Decision trees and expected values of perfect information and sample information - probability tree, decision tree, sensitivity analysis
- Probability distributions - Binomial and Poisson - Discrete probability distributions - random variable, properties, formula, requirements, mean, variance, examples of applications
- Probability distributions - Normal - continuous probability distributions, properties, standard deviation, variance, curves, z-tables, standardising normal distributions, Z-transformation
- Probability distributions - Approximations
- Sampling
- Confidence intervals
- Chi-squared test
- Correlation
- Regression
- Optimisation - linear programming
- Simulation
- Network analysis/critical path analysis
- Inventory management/stock control
- Time series analysis
- Hypothesis testing
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