<?xml version="1.0" encoding="UTF-8"?>
<CourseUnit xmlns="http://www.manchester.ac.uk/CUICourseUnitDetails" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.manchester.ac.uk/CUICourseUnitDetails.xsd">
  <UnitCode Applicant="Y" Label="Unit code" Student="Y">
    <Code>ECON20072</Code>
  </UnitCode>
  <UnitTitle Applicant="Y" Label="Unit title" Student="Y">
    <Title>Advanced Statistics</Title>
  </UnitTitle>
  <MaxUnits Applicant="Y" Label="Credit rating" Student="Y">
    <Units>10</Units>
  </MaxUnits>
  <TeachingPeriods Applicant="Y" Label="Teaching period(s)" Student="Y">
    <Period>Semester 2</Period>
  </TeachingPeriods>
  <AcademicCareer Applicant="Y" Label="Academic career" Student="Y">
    <Value>Undergraduate</Value>
  </AcademicCareer>
  <UnitLevel Applicant="Y" Label="Unit level" Student="Y">
    <Level>Level 2</Level>
  </UnitLevel>
  <StaffList Applicant="Y" Label="Teaching staff" RoleLabel="Course Unit Role" Student="Y">
    <StaffMember>
      <Name>Ralf Becker</Name>
      <Role>Unit coordinator</Role>
    </StaffMember>
  </StaffList>
  <OfferedBy Applicant="Y" Label="Offered by" Student="Y">
    <OrganisationList>
      <Organisation>
        <OrgName>Economics</OrgName>
      </Organisation>
    </OrganisationList>
    <GroupList>
      <Group>
        <GroupName></GroupName>
      </Group>
    </GroupList>
    <FheqLevels>
      <FheqLevel>
        <LevelNumber>1</LevelNumber>
        <LevelName>FHEQ level (Framework for Higher Education Qualifications) ' First part HE study/Bachelors ' </LevelName>
      </FheqLevel>
    </FheqLevels>
    <Ects>
      <MaxUnits>European Credit Transfer &amp; Accumulation System Rating :   5.0</MaxUnits>
    </Ects>
  </OfferedBy>
  <MarketingOverview Applicant="Y" Label="Marketing Course unit overview" Student="">
    <Content>&lt;p&gt;&lt;span style="font-size:12px;"&gt;Introduction to fundamental methods of statistics, which are the basis of techniques widely used in the analysis of economic and social data. The module is designed for students who have Maths A-Level or equivalent.&lt;/span&gt;&lt;/p&gt;</Content>
  </MarketingOverview>
  <UnitOverview Applicant="" Label="Course unit overview" Student="Y">
    <Content>&lt;p&gt;&lt;span style="font-size:12px;"&gt;Introduction to fundamental methods of statistics, which are the basis of techniques widely used in the analysis of economic and social data. The module is designed for students who have Maths A-Level or equivalent.&lt;/span&gt;&lt;/p&gt;</Content>
  </UnitOverview>
  <Aims Applicant="Y" Label="Aims" Student="Y">
    <Content>&lt;p&gt;&lt;span style="font-size:12px;"&gt;Introduction to fundamental methods of statistics, which are the basis of techniques widely used in the analysis of economic and social data. The course is designed for students who have Maths A-Level or equivalent.&lt;/span&gt;&lt;/p&gt;</Content>
  </Aims>
  <LearningOutcomes Applicant="Y" Label="Learning outcomes" Student="Y">
    <Content>&lt;p style="margin-left:5.7pt;"&gt;&lt;span style="font-size:12px;"&gt;Students should be able to&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="font-size:12px;"&gt;i) construct and understand essential descriptive statistics for sample data (means, variances, correlations, regression coefficients),&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="font-size:12px;"&gt;ii) manipulate conditional and unconditional probability,&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="font-size:12px;"&gt;iii) obtain and manipulate probabilities from important statistical distributions (including the Binomial,Normal and Student-t),&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="font-size:12px;"&gt;iv) understand and use key statistical concepts,&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="font-size:12px;"&gt;v) construct and interpret confidence intervals for population means and proportions,&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="font-size:12px;"&gt;vi) carry out and interpret simple hypothesis tests of relevance in the social sciences&lt;/span&gt;&lt;/p&gt;</Content>
  </LearningOutcomes>
  <Knowledge Applicant="Y" Label="Knowledge and understanding" Student="Y">
    <Content></Content>
  </Knowledge>
  <IntellectualSkills Applicant="Y" Label="Intellectual skills" Student="Y">
    <Content></Content>
  </IntellectualSkills>
  <PracticalSkills Applicant="Y" Label="Practical skills" Student="Y">
    <Content></Content>
  </PracticalSkills>
  <TransferableSkills Applicant="Y" Label="Transferable skills and personal qualities" Student="Y">
    <Content></Content>
  </TransferableSkills>
  <EmployabilitySkillsList Applicant="Y" Label="Employability skills" Student="Y">
    <Skill>
      <SkillId>Analytical skills</SkillId>
      <SkillDescription>Synthesis and analysis of data and information.</SkillDescription>
    </Skill>
    <Skill>
      <SkillId>Problem solving</SkillId>
      <SkillDescription></SkillDescription>
    </Skill>
    <Skill>
      <SkillId>Other</SkillId>
      <SkillDescription>Numeracy. Time Management.</SkillDescription>
    </Skill>
  </EmployabilitySkillsList>
  <Syllabus Applicant="Y" Label="Syllabus" Student="Y">
    <Content>&lt;p&gt;Provisional&lt;/p&gt;&lt;p&gt;The module’s notes are headed as follows:&lt;/p&gt;&lt;p&gt;1. Introduction and Descriptive Statistics,&lt;/p&gt;&lt;p&gt;2. Probability and Discrete Random Variables (means and variances),&lt;/p&gt;&lt;p&gt;3. Continuous Random Variables (means, variances, Normal distribution),&lt;/p&gt;&lt;p&gt;4. Expectations and Combinations of Variables (means, variances, covariances, correlation, independence),&lt;/p&gt;&lt;p&gt;5. Sampling Distributions (sample mean and proportion),&lt;/p&gt;&lt;p&gt;6. Hypothesis Testing (sample means and proportions, large sample tests),&lt;/p&gt;&lt;p&gt;7. More Statistical Inference (confidence intervals, p-values)&lt;/p&gt;</Content>
  </Syllabus>
  <TeachingMethods Applicant="Y" Label="Teaching and learning methods" Student="Y">
    <Content>&lt;p&gt;&lt;span style="font-size:12px;"&gt;Synchronous activities (such as Lectures or Review and Q&amp;amp;A sessions, and tutorials), and guided self-study&lt;/span&gt;&lt;/p&gt;</Content>
  </TeachingMethods>
  <AssessmentMethods Applicant="Y" Label="Assessment methods" Student="Y">
    <IntroText> </IntroText>
    <Method>
      <MethodId>0</MethodId>
      <MethodName>Other</MethodName>
      <MethodWeight>100%</MethodWeight>
    </Method>
    <OtherDescription>&lt;p&gt;&lt;span style="font-size:12px;"&gt;30% Online Tests (3 assessments of 10% each)&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="font-size:12px;"&gt;70% Final Exam.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="font-size:12px;"&gt;The criteria used by Economics in the assessment of examinations and coursework can be found on the UG Intranet in your programme handbook (BSc Economics, BA(ECON)&lt;/span&gt;&lt;/p&gt;</OtherDescription>
  </AssessmentMethods>
  <FeedbackMethods Applicant="Y" Label="Feedback methods" Student="Y">
    <Content>&lt;ul&gt;	&lt;li&gt;&lt;span style="font-size:12px;"&gt;Exercise classes.&lt;/span&gt;&lt;/li&gt;	&lt;li&gt;&lt;span style="font-size:12px;"&gt;Online quizzes.&lt;/span&gt;&lt;/li&gt;	&lt;li&gt;&lt;span style="font-size:12px;"&gt;PASS groups.&lt;/span&gt;&lt;/li&gt;	&lt;li&gt;&lt;span style="font-size:12px;"&gt;Office hours.&lt;/span&gt;&lt;/li&gt;&lt;/ul&gt;</Content>
  </FeedbackMethods>
  <RequirementsList Applicant="Y" Label="Pre/co-requisites" Student="Y">
    <Requirement>
      <UnitCode>SOST10062</UnitCode>
      <UnitTitle>Introductory Statistics for Economists</UnitTitle>
      <RequirementType>Pre-Requisite</RequirementType>
      <Description>Compulsory</Description>
    </Requirement>
    <Requirement>
      <UnitCode>ECON20071</UnitCode>
      <UnitTitle>Advanced Mathematics</UnitTitle>
      <RequirementType>Co-Requisite</RequirementType>
      <Description>Compulsory</Description>
    </Requirement>
    <AdditionalRequirement>SOST10062 AND CO-REQ: ECON20071</AdditionalRequirement>
  </RequirementsList>
  <AcademicPrograms Applicant="Y" Label="Academic programmes" Student="Y">
    <AcademicProgram>
      <Program></Program>
      <Plan></Plan>
      <Level></Level>
      <Requirement></Requirement>
    </AcademicProgram>
  </AcademicPrograms>
  <FreeChoice Applicant="Y" Label="Available as a free choice unit?" Student="Y">
    <Content>Y</Content>
  </FreeChoice>
  <Accreditation Applicant="Y" Label="Accreditation" Student="Y">
    <Content></Content>
  </Accreditation>
  <RecommendedReading Applicant="Y" Label="Recommended reading" Student="Y">
    <Content>&lt;p style="margin-left:5.7pt;"&gt;&lt;span style="font-size:12px;"&gt;All students are expected to download the detailed module notes. These form the basis of the lecture and tutorial material.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="font-size:12px;"&gt;Many introductory statistics books cover the material in the module. Multiple copies of the following texts are available in the Main and Precinct Centre libraries:&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="font-size:12px;"&gt;Newbold, Carlson and Thorne (2009), Statistics for Business and Economics ,&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="font-size:12px;"&gt;Wonnacott and Wonnacott (1990), Introductory Statistics for Business and Economics&lt;/span&gt;&lt;/p&gt;</Content>
  </RecommendedReading>
  <StudyHours Applicant="Y" Label="Study hours" Student="Y">
    <IntroText> </IntroText>
    <ScheduledHours Applicant="Y" Label="Scheduled activity hours" Student="Y">
      <ActivityHours>
        <ActivityType></ActivityType>
        <Hours>0</Hours>
      </ActivityHours>
    </ScheduledHours>
    <PlacementHours Applicant="Y" Label="Placement hours" Student="Y">
      <ActivityHours>
        <ActivityType></ActivityType>
        <Hours>0</Hours>
      </ActivityHours>
    </PlacementHours>
    <TotalHours Applicant="Y" Label="Independent study hours" Student="Y">
      <Hours>0</Hours>
    </TotalHours>
  </StudyHours>
  <Notes Applicant="Y" Label="Additional notes" Student="Y">
    <Content>&lt;p&gt;&lt;span style="font-size:12px;"&gt;For every 10 course unit credits we expect students to work for around 100 hours. This time generally includes any contact times (online or face to face, recorded and live), but also independent study, work for coursework, and group work. This amount is only a guidance and individual study time will vary&lt;/span&gt;&lt;/p&gt;</Content>
  </Notes>
</CourseUnit>
