Singapore University of Social Sciences

Statistical Methods and Inference

Statistical Methods and Inference (MTH220)

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.
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