SOST10062 10 Semester 2 Undergraduate Level 1 Diego Perez Ruiz Unit coordinator Social Statistics 1 FHEQ level (Framework for Higher Education Qualifications) ' First part HE study/Bachelors ' European Credit Transfer & Accumulation System Rating : 5.0 <p>The content of the course will include:</p><ul> <li>Background Concepts;</li> <li>Exploratory Analysis and Descriptive Statistics;</li> <li>Probability, Joint and Marginal Probabilities, Independence, Probability Trees;</li> <li>Random Variables and Probability Distributions;</li> <li>The Normal Distribution;</li> <li>Exploring and Modelling Relationships;</li> <li>Linear Regression;</li> <li>Statistical Inference, Confidence Intervals and Hypothesis Testing.</li></ul> <p>The content of the course will include:</p><ul> <li>Background Concepts;</li> <li>Exploratory Analysis and Descriptive Statistics;</li> <li>Probability, Joint and Marginal Probabilities, Independence, Probability Trees;</li> <li>Random Variables and Probability Distributions;</li> <li>The Normal Distribution;</li> <li>Exploring and Modelling Relationships;</li> <li>Linear Regression;</li> <li>Statistical Inference, Confidence Intervals and Hypothesis Testing.</li></ul> <p>The aims of this course are:</p><ul> <li>to provide an introduction to basic statistical concepts and methods;</li> <li>to understand concepts of probability and statistical inference;</li> <li>to gain knowledge of methods for exploring relationships in data;</li> <li>to develop skills in interpreting results.</li></ul><p>The course is structured around the use of social statistics within society and will cover issues associated with the use of statistics in the public domain.</p> <p>At the end of this course students should be able to:</p><ul> <li>use appropriate statistics, graphs and tables to explore data;</li> <li>develop contingency tables to explore relationships with categorical data;</li> <li>apply probability theory and understand the concept of independence;</li> <li>use techniques to measure relationships between variables and build simple linear regression models;</li> <li>carry out hypothesis testing and interpret the results of statistical analyses;</li> <li>develop skills in performing statistical analysis and presentation of data and results in Excel.</li></ul> <p>Lectures<br />Tutorials/Exercise Classes</p><p>Please note the information in scheduled activity hours are for guidance only and may change.</p> 1 Written exam 100% <p>For information about feedback please follow this link:<br />http://www.campus.manchester.ac.uk/tlso/map/teachinglearningassessment/assessment/sectionb-thepracticeofassessment/policyonfeedbacktostudents/.</p> ECON10061 Introductory Mathematics Co-Requisite Compulsory Co-requisite: ECON10061 Y Assessment written exam 1.5 Lectures 14 Tutorials 8 0 76.5