28/11/2022 - 02/12/2022
Royal Statistical Society
Dr Jenny Freeman
Entry (no or almost no prior knowledge)
Level: Foundation (F)
The purpose of this course is to help participants understand some basic statistical concepts and develop a strategy for approaching simple data analysis. The course will introduce basic concepts such as hypothesis testing and confidence interval estimation. It will provide the tools to undertake simple analysis of a dataset and will include some helpful hints and tips for reading and understanding reported statistics.
By the end of this course, participants will understand basic approaches to statistical inference, including hypothesis testing and confidence interval estimation. They will be equipped with the skills necessary to undertake simple analysis and to understand some of the basic terms often used to report statistical results. The course will mainly use calculations by hand to aid understanding, but will include Excel outputs for some statistical tests.
- The normal distribution, basic study design,data summary, confidence intervals, introduction to hypothesis tests,analysis of contingency tables - the chi-squared test.
- T-tests, non parametric tests, (Wilcoxon signed rank test, Mann-Whitney U test)
- Correlation and regression, basic presentation of data and results.
This course is aimed at those who have either never undertaken a formal statistics course, or who have studied some statistics in the past but wish to undertake a refresher. It is ideal for statistical novices who have never had any formal training but are starting to encounter statistics in their work and wish to gain some insight.
"Ellen and Jenny were extremely knowledgeable. They were also approachable and happy to give further explanations when necessary"
"Excellent course. Hard to fault. I can see why it's popular"
"This was a fantastic course, the presenters had a very high knowledge but were able to 'dumb it down' for me as I am new to this"
£706.24 to £979.81 (including VAT)
Website and registration:
Quantitative Data Handling and Data Analysis, Data types , Hypothesis testing , Normal distribution , Chi-squared test , Correlation , Regression
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