Introductory Statistics for Social Science, Science, Business and Medicine (STAT10010)

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General

Credits:

Level:

Semester:

Semester One

Subject:

Statistics & Actuarial Science

School:

Mathematical Sciences

Module Coordinator:

Dr Isobel Gormley

This module is aimed at students majoring in Social Science, Science, Business, Medicine or any other degree programme. These students may not intend to major in Statistics but would like to get some exposure to the basic concepts of data collection and analysis. Students do not need to be mathematically proficient before taking this class, the only pre-requisites are basic mathematical skills and an open mind. Topics covered:1. Statistics: The Science of data. 2. Data Sources: Sampling and Opinion Polls, Experiments and Observational Studies 3. Descriptive Statistics: Summarising data, Relationships between variables.4. Inferential Statistics: The Normal Distribution, Simple Linear Regression with applications, How to interpret Hypothesis Tests and Confidence Intervals.

Outcomes

On completion of this module students should be able to: understand the scope and limitations of statistical techniques and appraise critically statistical analyses performed by others. Students will appreciate the different methods of data collection and be aware of the common biases that can occur with each of the collection methods. Students will compute basic descriptive statistics. Students will draw distinctions between samples and populations and indicate how sample statistics can be used to estimate population characteristics. They will read standard statistical tables and compute probabilities and percentiles for given distributions. Students will also learn how to use standard statistical software.

Workload

	Hrs/Semester
Lectures	24
Tutorial	11
Practical	12
Autonomous Student Learning	72
Total Workload	119

Assessment

	% of Final Grade	Timing
Examination: 1 Hour lab exam	20	2 hour End of Semester Exam
Examination: 2 Hour written exam	60	2 hour End of Semester Exam
Multiple Choice Questionnaire: 1 Hour MCQ exam	20	Week 9

Resits

Resit Opportunities

End of Semester Exam

Remediation

If you fail this module you may repeat, resit or substitute where permissible.

Dependencies

Module Requisites and Incompatibles

Pre-Requisite :

Required :

Co-Requisite :

Incompatibles : Intro Quantitative Economics (ECON10030)

Additional Information :

Equivalent Modules

Prior Learning

Requirements:

Excluded:

Recommended:

Availability

Timetabling information is displayed only for guidance purposes, relates only to 2011/2012, and is subject to change. For an explanation of the week ranges referred to below, please click :

Tutorial	Semester 1 Offering 1	Wed: 10:00-10:50 (Sem1: All Weeks)
Tutorial	Semester 1 Offering 2	Mon: 16:00-16:50 (Sem1: All Weeks)
Tutorial	Semester 1 Offering 3	Thu: 11:00-11:50 (Sem1: All Weeks)
Tutorial	Semester 1 Offering 4	Wed: 16:00-16:50 (Sem1: All Weeks)
Tutorial	Semester 1 Offering 5	Tue: 13:00-13:50 (Sem1: All Weeks)
Tutorial	Semester 1 Offering 6	Thu: 13:00-13:50 (Sem1: All Weeks)
Lectures	Semester 1 Offering 1	Fri: 11:00-11:50 (Sem1: All Weeks)
Lectures	Semester 1 Offering 1	Wed: 15:00-15:50 (Sem1: All Weeks)
Practical	Semester 1 Offering 1	Mon: 11:00-11:50 (Sem1: Even Weeks)
Practical	Semester 1 Offering 2	Thu: 14:00-14:50 (Sem1: Even Weeks)
Practical	Semester 1 Offering 3	Fri: 14:00-14:50 (Sem1: Even Weeks)
Practical	Semester 1 Offering 4	Thu: 10:00-10:50 (Sem1: Even Weeks)
Practical	Semester 1 Offering 5	Tue: 11:00-11:50 (Sem1: Even Weeks)
Practical	Semester 1 Offering 6	Thu: 14:00-14:50 (Sem1: Even Weeks)
Practical	Semester 1 Offering 7	Thu: 10:00-10:50 (Sem1: Even Weeks)
Practical	Semester 1 Offering 8	Wed: 11:00-11:50 (Sem1: Even Weeks)

Curricular information is subject to change

Last SISWeb sync date: Fri, 16 Sep 2011 20:22:57 +0000

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