Available in 2017
Course code

STAT1070

Units

10 units

Level

1000 level

## 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.

### Availability2017 Course Timetables

#### Callaghan

• Semester 1 - 2017
• Semester 2 - 2017

#### Ourimbah

• Semester 2 - 2017

### 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

This course has similarities to STAT1060. If you have successfully completed STAT1060 you cannot enrol in STAT1070.

### Assumed knowledge

Students 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.

### 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

##### 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