Statistics for Non-Mathematicians offered by Oxford University
- Public University
- 1 Campus
- Estd. 1096
Statistics for Non-Mathematicians at Oxford University Overview
Statistics for Non-Mathematicians
at Oxford University
Be able to linearise data and to use regression techniques on data provided
Duration | 2 months |
Total fee | ₹19,400 |
Mode of learning | Online |
Course Level | UG Certificate |
Statistics for Non-Mathematicians at Oxford University Highlights
Statistics for Non-Mathematicians
at Oxford University
- Earn a certificate of completion from Oxford university
Statistics for Non-Mathematicians at Oxford University Course details
Statistics for Non-Mathematicians
at Oxford University
Skills you will learn
What are the course deliverables?
- To introduce measures of central tendency
- To discuss the theory of probability
- To introduce regression and correlation
- To introduce correlation and regression
- To introduce probability theory
- To discuss the theory of sampling
More about this course
- An introduction to the theory of statistics to Social Scientists. The method of Ordinary Least Squares will be discussed as will the notion of correlation
- The theory of probability will be developed including: conditional probability and mutually exclusive events
- Discrete and continuous probability distributions will also be investigated and applied to real world problems
- Inferential statistics will also be introduced calculating 95 and 99% confidence intervals and performing hypothesis tests
Statistics for Non-Mathematicians at Oxford University Curriculum
Statistics for Non-Mathematicians
at Oxford University
Week 0
An Introduction to Teams -Course orientation
Week 1
Variables and graphs
Week 2
Frequency distributions and measures of central tendency
Week 3
The standard deviation and measures of dispersion
Week 4
The method of Ordinary Least Squares, correlation coefficients
Week 5
Elementary probability theory, the normal distribution and confidence intervals
Week 6
The binomial, normal and Poisson distributions
Week 7
Sampling theory and the central limit theorem
Week 8
Statistical estimation theory and hypothesis testing
Week 9
The chi squared distribution
Week 10
Contingency tables and the F-distribution
Statistics for Non-Mathematicians at Oxford University Faculty details
Statistics for Non-Mathematicians
at Oxford University
Dr Vasos Pavlika
Dr Vasos Pavlika is Associate Professor (Education) at University College London, he also teaches Mathematics at the LSE (University of London), as well as Online at: SOAS, University of London (Mathematical Economics), Goldsmiths College (Computing and Data Science), University of London and the Open University (Applied Mathematics).
Statistics for Non-Mathematicians at Oxford University Entry Requirements
Statistics for Non-Mathematicians
at Oxford University
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Statistics for Non-Mathematicians at Oxford University Contact Information
Statistics for Non-Mathematicians
at Oxford University
Address
University Offices, Wellington Square, Oxford OX1 2JD, United Kingdom
Oxford ( Oxfordshire)
Phone
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