Module overview
Numeracy and Statistics will enable you to become familiar with and develop your numeracy and statistical knowledge. You will be provided with theoretical knowledge and worked examples to allow you to apply numeracy and statistical skills to clinical calculations and healthcare problems.
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Describe and apply concepts associated with inferential statistics to analyse data and perform appropriate statistical tests applied to a health care context
- Demonstrate ability to apply principles of epidemiology in a health care context
- Distinguish between different types of study design, outline advantages and limitations and identify which type of study was used based on data collected
- Calculate the number of moles or grams of a substance and the molarity of various solutions
- Calculate and interpret epidemiological measurements including mortality, morbidity, incidence, prevalence, risk, relative risk, attributable risk and attributable fraction
- Accurately perform numerical conversions and calculations without the use of a calculator and use software programmes like excel to organise, present and analyse data appropriately
- Perform accurate drug calculations for doses, volumes, amounts, concentrations, dilutions and ratio strengths
- Describe and apply concepts associated with descriptive statistics: including types of data, measures of central tendency, variability and distribution
- Accurately use scientific notations and prefixes, and perform power calculations without the use of a calculator
- Describe, calculate and analyse probability using percentages, ratios, decimals, fractions and verbal descriptors. Apply probability calculations to questions of risk in genetics
- Frame a specific research hypothesis relating to patient or population health, and identify the appropriate study design(s) to address it
Syllabus
You will develop your skills in numeracy (with and without the use of a calculator) as part of this module. This includes standard form, conversions, drug dosages, dilutions, concentration, volume and amount, molar calculations and rearranging equations.
You will also develop your skills in statistics and epidemiology as key parts of this module. This includes an introduction to statistics: statistical principles, descriptive statistics and statistical tests. You will learn about measures of central tendency, measures of dispersion, data types, methods of data presentation, probability, hypothesis testing, study design and application of statistical tests. You will also study principles of epidemiology and their application in healthcare.
Learning and Teaching
Teaching and learning methods
The module will be taught through a range of learning and teaching strategies which will include:
- Lectures
- Tutor led tutorials
- Guided self-study
- Problem solving
- Group work
- eLearning
Type | Hours |
---|---|
Lecture | 12 |
Revision | 60 |
Preparation for scheduled sessions | 36 |
Wider reading or practice | 26 |
Tutorial | 15 |
Follow-up work | 36 |
Total study time | 185 |
Resources & Reading list
General Resources
Please see the Blackboard module page for current resources. The full reading list for MEDI0014 is available on the Library Online Reading List at https://soton.rl.talis.com/.
Assessment
Assessment strategy
Summative assessments:
In semester 1, there will be a 1 hour examination (non-calculator) covering aspects of numeracy and statistics skills and their application in healthcare. This assessment is non-compensatable.
In semester 2, there will be a 1 hour examination (calculator) covering aspects of numeracy and statistics skills and their application in healthcare. This assessment is non-compensatable.
Students who fail either or both examinations will have a supplementary attempt.
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Summative assessments | 50% |
Summative assessments | 50% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Supplementary activity | 100% |