Applied Statistics for Social Scientists

SOST20142 Applied Statistics for Social Scientists 20 Semester 2 Undergraduate Level 1 Todd Hartman Unit coordinator 1 FHEQ level (Framework for Higher Education Qualifications) ' Middle part of Bachelors ' European Credit Transfer & Accumulation System Rating : 10.0 The main topics to be covered are: <ul> <li>Data exploration and visualization using R </li> <li>Descriptive statistics </li> <li>Modelling with Continuous Data </li> <li>Modelling with categorical Variables </li></ul> The main topics to be covered are: <ul> <li>Data exploration and visualization using R</li> <li>Descriptive statistics </li> <li>Modelling with Continuous Data </li> <li>Modelling with categorical Variables </li></ul> The aims of this course are for each student to achieve:  <ul> <li paraeid="{0204645f-a6bd-4d9b-a04c-b6ecff06dd16}{4}" paraid="514733358">an introductory to data cleaning and exploration  </li> <li paraeid="{0204645f-a6bd-4d9b-a04c-b6ecff06dd16}{10}" paraid="473617720">an understanding of basic statistics tests  </li> <li paraeid="{0204645f-a6bd-4d9b-a04c-b6ecff06dd16}{16}" paraid="403865335">an understanding of multivariate statistical analysis  </li> <li paraeid="{0204645f-a6bd-4d9b-a04c-b6ecff06dd16}{22}" paraid="412981084">an ability to use statistical software R  </li></ul> <ul> <li paraeid="{0204645f-a6bd-4d9b-a04c-b6ecff06dd16}{38}" paraid="147483790">be able to import and export data in R  </li> <li paraeid="{0204645f-a6bd-4d9b-a04c-b6ecff06dd16}{44}" paraid="1488139645">be able to prepare data in R  </li> <li paraeid="{0204645f-a6bd-4d9b-a04c-b6ecff06dd16}{50}" paraid="1847055667">be able to produce visualisations of data  </li> <li paraeid="{0204645f-a6bd-4d9b-a04c-b6ecff06dd16}{56}" paraid="593160380">be able to understand and run descriptive statistics in R  </li> <li paraeid="{0204645f-a6bd-4d9b-a04c-b6ecff06dd16}{62}" paraid="1906260647">be able to understand and run a battery of test of hypothesis in R  </li> <li paraeid="{0204645f-a6bd-4d9b-a04c-b6ecff06dd16}{68}" paraid="77203460">be able to understand and run a variety of statistical models in R  </li></ul> Lectures, practicals and coursework.  Please note the information in scheduled activity hours are for guidance only and may change.   2 Written assignment (inc essay) 75% 9 Set exercise 25% Feed-back on individual based essay  Applied Statistics for Social Scientists Anti-Requisite: Students who have taken SOST10142 may NOT take SOT20142. Not available to Third Year Students. Y Agresti, A. (2018). Statistical Methods for the Social Sciences (5th ed.). Pearson. Fogarty, B. (2019). Quantitative Social Science Data with R. Hothorn, T., & Everitt, B. (2014). A handbook of statistical analyses using R (Third edition). CRC Press, Taylor & Francis Group.  Landers, R. N. (2019). A step-by-step introduction to statistics for business. SAGE.  Leon-Guerrero, A., & Frankfort-Nachmias, C. (2018). Essentials of social statistics for a diverse society (Third edition). SAGE. Wickham, H., & Grolemund, G. (2017). R for Data Science: import, tidy, transform, visualize, and model data. O’Reilly UK Ltd.  Lectures 20 Practical classes & workshops 8 0 172