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M25C - Introduction to Statistics

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This course uses the following course codes:
  • MATH 2190
  • M25C

Number of credits: 4

This course has the following prerequisites:

This course has no corequisites.

You may not attend this course in conjuction with the following courses:

The assessment for the course is as follows:

This course has coursework assessment.

In course assignments weight: 40%

Final exam: 60%

Course syllabus

  • Foundations of Probability, basic discrete and continuous distributions,expectation

  • Joint distribution of several discrete and continuous random variables

  • Covariance and correlation

  • The Central Limit Theorem

  • Basic ideas of point and Interval Estimation

  • Maximum likelihood Estimation Type I and Type II errors, significance level and power

  • Hypothesis of means, variances and proportions

  • Regression Analysis (mainly simple linear regression)

  • Experimental Design

  • One and two-way ANOVA. Basic ideas of sampling from finite populations


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