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M248-Analyzing data
The course begins with a brief discussion of numerical and graphical summaries of data. Fundamental statistical models for variation (such as the binomial distribution and the normal distribution) are covered, and the problem of assessing the quality of the models in a given data context is discussed. There are units on estimation, confidence intervals, hypothesis testing, regression and two-variable problems. The last unit reviews the whole course. Four exercise booklets contain extra problems and exercises based on the course material, which students might like to use during the year and as part of a revision programme. The course is based on data and prompted by problems. A typical approach might be to present a question such as ‘Is this drug better than that one?’ or ‘What is the relationship between this stimulus and that response?’ Then data are collected in order to answer the question, and the appropriate statistical methods are developed and discussed. |