Search results - Introductory Statistics for Non-Mathematicians
1 Wellington Square
|Dates||Thu 11 Oct to Thu 13 Dec 2012|
Time of meeting: 7.00-9.30pm
Number of meetings: 10
|Application status||Course ended|
|Course contact||If you have any questions about this course, please email email@example.com.|
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.
DescriptionThe 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 detailsWeek 1: Variables and graphs
Week 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
Targett, D Coping with Numbers
Rowntree, D Statistics without tears
Johnson, R Elementary Statistics
Dr Vasos Pavlika
Dr Vasos Pavlika lectures Quantitative Methods on campus at SOAS and also tutors distance learning students on Masters courses delivered there. He...more
Course aimsCourse Aims:
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.
Assessment methodsThe 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 methodsBoard work will predominantly be used along with powerpoint slides and pdf files created to assist in the delivery of the material.
Teaching outcomesUnderstand 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.
- Programme Fee
- EU Fee: £205.00
- Non-EU Fee: £205.00