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Key facts
| Type | Weekly Classes |
|---|---|
| Location | Oxford |
| Address | Rewley House 1 Wellington Square Oxford |
| Dates | Thu 11 Oct to Thu 13 Dec 2012 Day: Thursday Time of meeting: 7.00-9.30pm Number of meetings: 10 |
| Subject area(s) | Mathematics |
| CATS points | 10 |
| Fees | From £205.00 |
| Application status | Course ended |
| Course code | O12P602MAW |
| Course contact | If you have any questions about this course, please email ppweekly@conted.ox.ac.uk. |
Overview
**PLEASE NOTE - The start of this course has been delayed until 11 October, one week later than advertised**The course will intoduce statistics to the beginner. Topics covering measures of central tendency, dispersion and probability theory will be discusssed.
Description
The course is meant to introduce the theory of statistics to Social Scientists. The method of Ordinary Least Squares will be introduced as will ideas and measures of correlation. The theory of probability will be introduced including conditional probability and mutually exclusive events. Discrete and continous probability distributions will be introduced as will measures of Central Tendency and the theory of inferential statistics. 95% and 99% confidence intervals will be discussed as will the Central Limit theorem and the theory of Sampling.Programme details
Week 1: Variables and graphsWeek 2: Frequency Distributions
Week 3: Measures of Central Tendency
Week 4: The Standard Deviation
Week 5: The Method of Ordinary Least Squares, Correlation coefficients
Week 6: Elementary probability theory, the Normal distribution, confidence intervals
Week 7: The Binomial, Normal and Poisson distributions
Week 8: Sampling Theory, the Student t-distibution
Week 9: Statistical Estimation theory, hypothesis testing
Week 10: Chi Squared test and Contingency tables
Background Reading:
Targett, D Coping with Numbers
Rowntree, D Statistics without tears
Johnson, R Elementary Statistics
Staff
Dr Vasos Pavlika
Role: Tutor
Dr Vasos Pavlika lectures Quantitative Methods on campus at SOAS and also tutors distance learning students on Masters courses delivered there. He...more
Course aims
Course Aims:To introduce measures of Central Tendency
To discuss the theory of probability
To introduce regression and correlation.
Course Objectives:
To introduce Correlation and Regression
To introduce probability theory
To discuss the theory of Sampling.
Assessment methods
The students will given "Warm Up" exercises (tutorial exercises) based on the previous lecture's material at the beginning of each week and one portfolio exercise (in week 5) that will count towards the award of the 10 CATs points.Teaching methods
Board work will predominantly be used along with powerpoint slides and pdf files created to assist in the delivery of the material.Teaching outcomes
Understand descriptive and inferential statistics. Discrete and Continous probability distributions will be discussed as will the method of Ordinary Least Squares. Students will be able to determine 95% and 99% confidence intervals and use the normal distribution as an approximation to the Binomial distribution. The Poisson distribution will also be discussed as will coefficients of correlation, the use of the Chi Squared test and the use of contingency tables.Apply for this course
Sorry, this course is not currently accepting applications. If you have any questions about this course, please use the course enquiry form.