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Information for module PSYC1104

This module is available for: The next academic year(provisional)

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Module code:PSYC1104(Add to my personalised list)
Title:Introduction to Statistical Methods in Psychology
Credit value:.5
Division:Division of Psychology and Language Sciences
Module organiser:Dr A McClelland
Organiser's location:Division of Psychology and Language Sciences
Organiser's email:a.mclelland@ucl.ac.uk
Available for students in Year(s):1,
Module prerequisites:First and second year modules are largely unavailable to non-Psychology students due to the number of students who take them as part of their programme. To find out if they are available to you please visit the website below, selecting the relevant information sheet. http://www.ucl.ac.uk/psychlangsci/students/current/subsidiary/subsidiary_psychology  
Module outline:The aims of this course are to give students a grounding in a variety of descriptive and inferential statistical methods commonly used in Psychology. The course also provides a foundation for the more advanced 2204 course, and gives students the necessary statistical knowledge required for the 1103 laboratory course. Students are also introduced to computer-based statistical analysis (Minitab). The topics covered in the course are: Basic Statistical Concepts; Scales of Measurement; Research Designs; Frequency Distributions, Bar Charts and Scattergrams; Measures of Central Tendency and Dispersion; Parameter Estimation; Linear Transformations and Standard Scores, The Normal Distribution and Z Scores; Probability; Contingency Tables; The Binomial Distribution; Hypothesis Testing; t-Tests; Analysis of Variance; Simple Linear Regression; Correlation; Chi-square. 
Module aims: 
Module objectives:Objectives: - Students should be able to select an appropriate form of analysis for a given research design -They should be able to provide appropriate summary statistics to describe the results -They should be able to apply and interpret correctly the results from a variety of statistical tests -They should be able to evaluate the goodness of fit of a model, using an appropriate measure - They should be able to report an appropriate measure of effect size or strength of association - They should be able to make use of graphical methods to check data for outlying values - They should be able to use appropriate graphical methods to display data - They should be able to report the results from an analysis in the appropriate format  
Key skills provided by module: 
Module timetable:https://cmis.adcom.ucl.ac.uk:4443/timetabling/moduleTimet.do?firstReq=Y&moduleId=PSYC1104 
Module assessment:Continuous assessment 100.00%.
 
Notes:Mandatory Introductory course for Psychology students 
Taking this module as an option?:No 
Link to virtual learning environment(registered students only)https://moodle.ucl.ac.uk/course/search.php?search=psyc1104 
Last updated:2014-07-11 10:44:46 by