The University of Newcastle, Australia
Available in 2019

Course handbook

Description

How do we use data to make informed scientific decisions? This course introduces students to statistical thinking, data collection, data presentation and statistical analysis. Examples from a range of science related disciplines are used to illustrate the key concepts.

Although the emphasis is on applied data analysis rather than statistical theory, the course also provides an appropriate introduction for those students who intend to study statistics at a higher level.

This course cannot count with STAT1060 Business Decision Making.


Availability2019 Course Timetables

Callaghan

  • Semester 1 - 2019
  • Semester 2 - 2019

Ourimbah

  • Semester 2 - 2019

Learning outcomes

On successful completion of the course students will be able to:

1. Appreciate the role of statistics in developing scientific knowledge

2. Relate probability and sampling concepts to statistical analysis of data

3. Apply basic principles of experimental design when collecting data

4. Analyse data using common statistical software and interpret results to solve science related problems.


Content

  • Introduction & overview of statistics in the sciences
  • Understanding variation and describing univariate data
  • Understanding bivariate relationships
  • Collecting data - surveys and experiments
  • Probability concepts
  • Statistical inference hypothesis tests and confidence intervals
  • Simple bivariate statistical models including regression and ANOVA

Requisite

ORf you have successfully completed STAT1060 you cannot enrol in STAT1070 with the exception of students who are active in 12328, 12337 OR 12338 OR 12339 OR 40002 OR 40010 OR 40011.


Assumed knowledge

STAT1070Statistics for the SciencesHow do we use data to make informed scientific decisions? This course introduces students to statistical thinking, data collection, data presentation and statistical analysis. Examples from a range of science related disciplines are used to illustrate the key concepts.

Although the emphasis is on applied data analysis rather than statistical theory, the course also provides an appropriate introduction for those students who intend to study statistics at a higher level.

This course cannot count with STAT1060 Business Decision Making.FSCITFaculty of Science724School of Mathematical and Physical Sciences1010005940Semester 1 - 2019CALLAGHANCallaghan20195980Semester 2 - 2019CALLAGHANCallaghan20195980Semester 2 - 2019CENTRALCSTOurimbah2019Students who are not confident with their mathematics background are advised to complete MATH1001 Preparatory Studies in Mathematics before enrolling in STAT1070.

Note: Knowledge of calculus and matrices is not required. Introduction & overview of statistics in the sciences Understanding variation and describing univariate data Understanding bivariate relationships Collecting data - surveys and experiments Probability concepts Statistical inference hypothesis tests and confidence intervals Simple bivariate statistical models including regression and ANOVA YOn successful completion of this course, students will be able to:1Appreciate the role of statistics in developing scientific knowledge2Relate probability and sampling concepts to statistical analysis of data3Apply basic principles of experimental design when collecting data4Analyse data using common statistical software and interpret results to solve science related problems. ORf you have successfully completed STAT1060 you cannot enrol in STAT1070 with the exception of students who are active in 12328, 12337 OR 12338 OR 12339 OR 40002 OR 40010 OR 40011.Written Assignment: Assignments (x2)Formal Examination: ExaminationQuiz: Online Quiz (x6) Callaghan and OurimbahComputer LabFace to Face On Campus1hour(s)per Week for0Full Term0These contact hours are for delivery of the course in a semester term. For a summer/winter term the lectures may be delivered as face to face compressed in to the shorter term or blended with online lectures combined with face to face to face workshops.LectureFace to Face On Campus2hour(s)per Week for0Full Term0TutorialFace to Face On Campus1hour(s)per Week for0Full Term0


Assessment items

Written Assignment: Assignments (x2)

Formal Examination: Examination

Quiz: Online Quiz (x6)


Contact hours

Callaghan and Ourimbah

Computer Lab

Face to Face On Campus 1 hour(s) per Week for Full Term

These contact hours are for delivery of the course in a semester term. For a summer/winter term the lectures may be delivered as face to face compressed in to the shorter term or blended with online lectures combined with face to face to face workshops.

Lecture

Face to Face On Campus 2 hour(s) per Week for Full Term

Tutorial

Face to Face On Campus 1 hour(s) per Week for Full Term