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# UWA Handbook 2017

## STAT1400 Statistics for Science

Credit 6 points
Offering
(see Timetable)
 Availability Location Mode Semester 1 UWA (Perth) Face to face Semester 2 UWA (Perth) Face to face Semester 2 Albany Face to face
• Level 1 option in the Quantitative Methods major sequence
• Level 1 complementary unit in the Biochemistry and Molecular Biology; Data Science; Genetics major sequences
• Category A broadening unit for Bachelor of Arts, Bachelor of Commerce and Bachelor of Design students
• Category A broadening unit for Bachelor of Science students where relevant according to the broadening requirements for each student
• Level 1 elective
Content This unit provides a solid foundation in statistical methods for students in the sciences (e.g. agricultural, biological, environmental, medical and physical) and social sciences. It covers the principles and applications of statistical reasoning, the use of a statistical software package, and applications of statistical methods. The unit may be taken as part of a major in Applied Statistics. Topics include data exploration and display, modelling univariate data, multivariate data; probability concepts and probability distributions; inference, including point estimation, confidence intervals and hypothesis testing; design of experiments; chi-squared tests, contingency tables; linear regression; and analysis of variance. A widely used statistical package is employed for calculations.
Outcomes Students are able to (1) appreciate the power of statistical concepts in the interpretation of data; (2) demonstrate knowledge of fundamental statistical tools and computer packages for applying these tools; (3) recognise the appropriate statistical techniques for use in particular real-world settings, and correctly apply these techniques for data analysis; (4) effectively communicate the results of these analyses; and (5) undertake continuous learning and realise that understanding the fundamentals is necessary for effective application.
Assessment Typically this unit is assessed in the following ways: (1) a final examination; (2) test; and (3) computer laboratory tasks and reports. Further information is available in the unit outline.

Supplementary assessment is not available in this unit except in the case of a bachelor's pass degree student who has obtained a mark of 45 to 49 overall and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course.
Unit Coordinator(s) Dr Vasudevan Mangalam
Unit rules
 Prerequisites: Mathematics Applications ATAR or Mathematics Methods ATAR or WACE Mathematics 2C/2D or MATH1720 Mathematics Fundamentals or equivalent or higher Incompatibility: STAT1510 Statistics A, STAT1520 Economic and Business Statistics
Contact hours lectures: 3 hours; labs: 2 hours
Unit OutlineSemester 1 : http://www.unitoutlines.ecm.uwa.edu.au/Units/STAT1400/SEM-1/2017
Semester 2 : http://www.unitoutlines.ecm.uwa.edu.au/Units/STAT1400/SEM-2/2017

• The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
• All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
• Books and other material wherever listed may be subject to change. Book lists relating to 'Preliminary reading', 'Recommended reading' and 'Textbooks' are, in most cases, available at the University Co-operative Bookshop (from early January) and appropriate administrative offices for students to consult. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.

# The University of Western Australia

## University information

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