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Course outline
1
DATA AND SAMPLING
1.1
Types of data
1.2
Levels of measurement
1.3
Structure of the data
1.4
Key terms
1.5
Sampling techinques
1.6
Presenting data with tables and charts
1.7
Describing data numerically
2
PROBABILITY
2.1
Undestanding terminology
2.2
Contigency table and probability
2.3
Random variables and probability distributions
2.4
Application to portfolio management
2.5
Applications of Binomial distribution
2.6
Applications of Poisson distribution
2.7
Applications of normal distribution
3
HYPOTHESIS TESTING
3.1
Single population mean
3.2
Two population means
3.3
Single population proportion
3.4
Two population proportions
3.5
Single population variance
3.6
Two population variances
4
REGRESSION ANALYSIS
4.1
Sample regression line
4.2
Least squares estimates
4.3
Variables selection and transformation
4.4
Significance testing
4.5
Issues in regression analysis
5
BUSINESS FORECASTING
6
DECISION MAKING
7
QUALITY CONTROL
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Business Statistics
2.7
Applications of normal distribution