Statistical Methods and Inference

Synopsis

MTH220 is a natural continuation of MTH219 and aims to equip students with more in-depth statistical knowledge and skills to solve real-world problems and to make intelligent decisions. Students will be able to apply a wide range of concepts and statistical methods for analysing data, carrying out hypothesis testing, estimation and drawing inferences. Correlation analysis, regression methods, non-parametric techniques and inferential statistics will be introduced.

Level: 2
Credit Units: 5
Presentation Pattern: EVERY REGULAR SEMESTER

Topics

Sampling distribution
Central limit theorem
Estimation and inferences
Inferential statistics, confidence intervals
Hypotheses testing I - Z test/ t test
Non parametric statistics
Correlation analysis
Regression analysis - linear regression model
Categorical data analysis

Learning Outcome

Calculate statistical parameters from data.
Determine the equation of the least squares linear regression line.
Comment on the results of hypothesis tests.
Apply suitable hypothesis tests, non-parametric tests or goodness-of-fit tests.
Compute probability or expected frequency of an event.
Use R to perform data analysis.

Singapore University of Social Sciences

Statistical Methods and Inference