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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 understand how statistics are used in real-world situations. Students will learn how to analyse and compare univariate data sets using measures of centre and measures of spread; examine and describe relationships between bivariate data sets using correlation and make predictions using linear regression. Students will also 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 work with others to gather research information to support a group research project and create appropriate electronic presentations of the project findings.

### + Subject Availability Modes and Location

Session 1
InternalBathurst Campus
InternalPort Macquarie
InternalWagga Wagga Campus
InternalWestern Sydney Institute
 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

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: calculate and compare univariate data sets using measures of centre and measures of spread for populations examine and describe relationships between bivariate data sets using correlation use properties of angles and shapes to find associated unknown sides and angles make predictions using linear regression use relevant statistical language and notations appropriately 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 plan, prepare and conduct research for a group project contribute to a group research project develop and review the group research project create electronic presentations of statistical data

### Syllabus

 The subject will cover the following topics: Integers, fractions and decimals Ratio Proportion and percentages Simple geometry Univariate data sets Measures of centre Measures of spread Correlation Linear regression Data collection Statistical research project Electronic presentations

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The information contained in the 2016 CSU Handbook was accurate at the date of publication: 06 September 2016. The University reserves the right to vary the information at any time without notice.