Concordia University

# Master of Science in Finance (MSc)

Minimum statistics requirements

## GET TO KNOW US

### Description Statistics

• Description summary measure from a sample: center and spread of distribution, quantiles.
• Data presentation: stem-and-leaf display, box-and-whisker plot, histograms and dot plots.

### Probability

• Basic properties and rules: addition and multiplication rules; conditional probability; independence.

### Random Variables

• Definition and properties of discrete and continuous random variables; the expected value (mean) and variance of a random variable.
• Normal distribution: properties of the normal distribution; standard normal variable.

### Sampling Distribution

• Measure of a sampling distribution; standard error.
• Normal approximation to sampling distributions (central limit theorem in the case of a sample mean).

### Statistical Inference

• Statistical estimation
• The meanings of point and interval estimation. The cases of a single mean and the difference of two means from independent samples.
• The T distribution
• The F distribution.
• Hypothesis testing
• Hypothesis testing procedure;
• Type I and type II errors;
• The p-value of a test;
• Relations between tests and confidence intervals;
• Chi-square goodness-of-fit test for probability distributions.