Professional course

Introduction to Statistics 1

About this course

Course code:
Z41000009
Level:
Professional/Short Course
Department:
Engineering Design and Mathematics
Campus:
Frenchay
Duration:
One day session
Delivery:
Through both taught and practical session
Programme leader:
Dr Andrew Smith

Page last updated 26 September 2019

Introduction

We offer one-day short courses covering different aspects of applied statistics. Courses are non-credit bearing and are designed for quick learning of the material covered.

Any course materials, including pre-reading, refreshments and lunch are included in the fee.

Entry requirements

This course makes extensive use of SPSS and familiarity with descriptive statistics is assumed. We would expect attendees to have met statistical ideas at some point in their past and to have ideally completed the course 'Introduction to SPSS'.

Overseas participants will be required to provide evidence of visa or residency status in the UK, before they can be fully registered and attend.

Careers / Further study

The logical continuation of this course is Introduction to Statistics 2 course, wich covers confidence intervals, the nonparametric approach to inference as well as exploring relationships using linear regression and missing value analysis.

Structure

Content

This course makes extensive use of SPSS and familiarity with descriptive statistics is assumed. We would expect attendees to have met statistical ideas at some point in their past and to have ideally completed the course Introduction to SPSS.

This one-day course discusses the underpinning logical arguments for statistical inference and the terminology used. The logic is explained in the context of commonly used tests such as the chi-square test of association, McNemar's test (chi-square for related data), paired samples t-test, independent samples t-test, correlation, the one-way analysis of variance and post hoc tests. The course is (as far as possible) a hands-on course and SPSS is used throughout the day.

This course is designed so that you can learn how to make logical and valid conclusions from your data. The focus is on the practical implementation of statistical techniques using SPSS, with further emphasis placed on incorporating good study design into your planning.

Learning and Teaching

This short course will run from 10.00 - 16.00 on Wednesday 3 June 2020

Assessment

This is a non-credit bearing course and no assessment will be undertaken.

You will receive a Certificate of Attendance on completion of the course.

Features

Study facilities

UWE Bristol is superbly equipped with libraries and computer labs, and an excellent campus environment.

Find out more about the facilities and resources UWE has to offer.

Prices and dates

Supplementary fee information

Please see the table below for current fees and discounts available. All prices are VAT exempt.

Discounts can not be used in conjunction with each other. The greatest discount available will be applied at your booking confirmation.

CohortJune 2020
Full Fee£240
Payment Deadline26 May 2020
Early Bird Discount£216
Payment Deadline21 April 2020
UWE Alumni/Student Discount£204
Payment Deadline12 May 2020
UWE Staff Discount£120
Payment Deadline12 May 2020

Fees include car parking, lunch and refreshments

Course Dates

CohortStart DateSession Time
June 2020Wednesday 3 June 202010:00 - 16:00

Location

UWE Bristol, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY

How to apply

How to apply

To make a full or provisional booking for this course, please complete the online booking form below

Cohort  
June 2020Book NowEnquire Now

For further information

  • Email: For all queries regarding administration aspects of registration, i.e. dates, fees, etc. please contact us using the online enquiry form link or telephone number below. For any questions in relation to the course, i.e. content, suitability, assessments, etc. please contact the Programme Leader.
  • Telephone: +44 (0)117 32 86927

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