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In this lecture I listed the questions you should ask about your research and your data in order to choose what statistical methods you need. In particular, you should know about what the aim of your question is, and about the types of variables involved.

• The right questions about statisticsÌýhandout (PDF)Ìý
• Question types activity handoutÌýÌý
• Variable types activity handoutÌý

In this lecture I discussed how to think about data, including drawing several different kinds of graphs. Thinking about data in this way will help you understand how statisticians begin to make decisions about what stats they can do.

• Thinking about data using graphs slides (PDF)

In this lecture I talked about how hypothesis tests and confidence intervals work, and how they help you answer yes-or-no and estimation questions. The aim is to help you have power over statistics by knowing more about it.

• Hypothesis test activity handoutÌý
• Confidence intervals activity handoutÌý
• How hypothesis testing and confidence intervals work handout (PDF)

In this lecture I discussed how the process of regression works, and how it can help to answer questions about relationships between variables. The aim is to help you have power over statistics by knowing more about it. We also drew together some of what we have learned by discussing the statistics presented in a research paper (which happens to be about bed bugs).

• How regression works handout (PDF)

In this lecture I talked about how to choose what statistical procedures go with your research, based on the type of question, the type of variables, and the way the data is organised. We particularly focus on choosing between hypothesis tests such as the t-test, chi-squared test, ANOVA and regression.

• Choosing the right statistics for your research questionÌýhandout (PDF)Ìý
• Choosing a hypothesis test activity handout (PDF)Ìý

In this lecture I talked about how the most common hypothesis tests work, and how logistic regression works, giving more details so that you can understand what they are trying to acheive. Note the videos here are from the 2015 lectures.

• Statistical tests handout (PDF)Ìý

In this lecture I talked about the information you need in order to calculate sample sizes, as well as how to calculate them in the most common situations of the t-test and the chi-square test.

• Sample size calculations handout (PDF)Ìý

In this lecture I discussed specific stats procedures that were requested via email. I discussed. I discussed the Mann-Whitney U-test/Wilcoxon rank sum test, other nonparametric tests (such as the Kruskall-Wallis test, Friedman's test and Spearman's correlation), Fisher's exact test, confidence intervals for proportions and the difference between odds, risk and hazard ratios. In the second requests lecture, I discussed survival analysis (including Kaplan-Meier, log-rank and cox proportional hazards regression) and also "adjusting for covariates".

In this lecture I talked about how to write about statistics in a research proposal.

• Writing about stats handout (PDF)Ìý

David has written several questions, which are similar in style to the hypothesis test exercises in Lecture 4: Choosing the Right Stats. Below you will find a document containing similar questions to those David has put in past exams for medical students.

• Example MQC questions handout (PDF)Ìý