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STA172 Introductory Mathematics and Statistics (8)

Abstract

In this CSU-TPC subject, students will learn the skills and knowledge required to solve everyday and work related mathematical problems using calculations with integers, fractions, decimals, ratio, proportions and percentages, and the use of simple geometric properties, mensuration in two and three dimensions, basic trigonometry and introductory algebra. Students will also learn to apply descriptive analysis to univariate and bivariate data, as well as determining the probability of events in theoretical and experimental contexts.   

+ Subject Availability Modes and Location

Session 1
On CampusBathurst Campus
On CampusPort Macquarie
On CampusWagga Wagga Campus
Continuing students should consult the SAL for current offering details: STA172
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject information

Duration Grading System School:
One sessionSY/USOffice for Students

Assumed Knowledge

Normally applicants will have Year 12 or equivalent, however applicants with other educational backgrounds will also be considered.

Enrolment restrictions

Restricted to students enrolled in the CSU Pathway Program - Diploma of General Studies.

Learning Outcomes

Upon successful completion of this subject, students should:
  • use properties of angles and shapes to find associated unknown sides and angles
  • perform calculations with real numbers, fractions, decimals, ratio, proportions and percentages
  • solve measurement problems in two and three dimensions including perimeter, area, volume and capacity
  • perform operations in algebra and solve linear equations
  • represent and analyse linear relationships on the Cartesian plane and solve contextual problems using linear models
  • solve right angled triangle problems using Pythagoras' Theorem and trigonometric ratios
  • apply data collection techniques
  • organise and diagramatically represent statistical data
  • analyse univariate data using measures of centre and spread, and the shape of data distribution
  • compare and interpret different data sets
  • analyse bivariate data using correlation and regression
  • use the regression line and time series to make predictions in practical situations
  • solve simple theoretical and experimental probability problems
  • apply the properties of the standard normal distribution to solve real life problems

Syllabus

The subject will cover the following topics:
  • Integers, fractions and decimals
  • Ratio
  • Proportion and percentages
  • Simple geometry
  • Data collection
  • Quality control
  • Statistical diagrams
  • Measures of centre
  • Measures of spread
  • Correlation
  • Linear regression
  • Time series
  • Probability
  • Standard normal distribution
  • Z-scores

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The information contained in the 2017 CSU Handbook was accurate at the date of publication: 25 August 2017. The University reserves the right to vary the information at any time without notice.