Availabilities:

2021 unit offering information will be available in September 2020

Unit description

Introduces statistical methods required for environmental science/management; the different types of variables, exploring data with descriptive statistics, graphically presenting data, performing tests of significance (chi-square, t-test, correlation, regression and analysis of variance) and presenting the results of statistical analyses. Emphasis is placed on matching suitable data with an appropriate statistical method in an environmental management setting and developing a "tool kit" of skills and resources to help students become independent in data management and analysis.

Unit content

  • Data management skills and descriptive statistics with Microsoft Excel, scientific calculators and SPSS, including; variable types, measurements and units, number skills, rounding, significant figures, preparing data for statistical analysis, graphs and data transformation 
  • Measures of central tendency (mean, mode and median) and dispersion (standard error, variance and standard deviation)
  • Dealing with uncertainty
    • Populations and samples
    • Probability distributions
    • The normal distribution
    • Confidence intervals
    • Type I and Type II error
  • Hypotheses testing for differences
    • Student's t test
    • Analysis of variance
  • Hypotheses testing for relationships/association
    • Correlation
    • Linear regression
  • An introduction to non-parametric equivalents of common tests
  • Hypothesis testing with categorical data: Chi square
  • Presenting different variable types and the results of hypothesis testing in a professional manner
  • Experimental and survey design

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

GA1: Intellectual rigour, GA2: Creativity, GA3: Ethical practice, GA4: Knowledge of a discipline, GA5: Lifelong learning, GA6: Communication and social skills, GA7: Cultural competence
On completion of this unit, students should be able to:GA1GA2GA3GA4GA5GA6GA7
1develop scientific questions to direct design and analysis selectionIntellectual rigourKnowledge of a disciplineLifelong learning
2show recognition of the different types of variables used in environmental science/management, calculate means, modes, medians, standard deviations, standard error, variance, confidence intervals and chi square, using a scientific calculator and Microsoft ExcelKnowledge of a discipline
3state the null hypothesis, prepare data for statistical analysis, calculate required values and interpret the results of the following statistical tests, chi square, t test, correlation, regression and analysis of variance for research questions relevant to environmental science/managementIntellectual rigourKnowledge of a discipline
4present the results of statistical tests of significance in a professional manner, including using Microsoft Excel or SPSS to produce high quality graphs (appropriate to the type of variables presented)Intellectual rigourKnowledge of a disciplineLifelong learning
5explain the consequences of Type I and Type II errors in tests of significance in context of environmental science/management and demonstrate a basic understanding of the validation of a chosen statistical methodIntellectual rigourKnowledge of a disciplineLifelong learning
6propose a suitable research question, develop methodologies that would lead to collection of the correct type of data and choose appropriate statistical tests for an investigation relevant to environmental science/managementIntellectual rigourKnowledge of a disciplineLifelong learning
7explain the difference between a population and a sample and demonstrate a basic understanding of key concepts, symbols and terms relevant to survey and experimental design.Intellectual rigourKnowledge of a discipline

On completion of this unit, students should be able to:

  1. develop scientific questions to direct design and analysis selection
    • GA1: Intellectual rigour
    • GA4: Knowledge of a discipline
    • GA5: Lifelong learning
  2. show recognition of the different types of variables used in environmental science/management, calculate means, modes, medians, standard deviations, standard error, variance, confidence intervals and chi square, using a scientific calculator and Microsoft Excel
    • GA4: Knowledge of a discipline
  3. state the null hypothesis, prepare data for statistical analysis, calculate required values and interpret the results of the following statistical tests, chi square, t test, correlation, regression and analysis of variance for research questions relevant to environmental science/management
    • GA1: Intellectual rigour
    • GA4: Knowledge of a discipline
  4. present the results of statistical tests of significance in a professional manner, including using Microsoft Excel or SPSS to produce high quality graphs (appropriate to the type of variables presented)
    • GA1: Intellectual rigour
    • GA4: Knowledge of a discipline
    • GA5: Lifelong learning
  5. explain the consequences of Type I and Type II errors in tests of significance in context of environmental science/management and demonstrate a basic understanding of the validation of a chosen statistical method
    • GA1: Intellectual rigour
    • GA4: Knowledge of a discipline
    • GA5: Lifelong learning
  6. propose a suitable research question, develop methodologies that would lead to collection of the correct type of data and choose appropriate statistical tests for an investigation relevant to environmental science/management
    • GA1: Intellectual rigour
    • GA4: Knowledge of a discipline
    • GA5: Lifelong learning
  7. explain the difference between a population and a sample and demonstrate a basic understanding of key concepts, symbols and terms relevant to survey and experimental design.
    • GA1: Intellectual rigour
    • GA4: Knowledge of a discipline

Teaching and assessment

Notice

Intensive offerings may or may not be scheduled in every session. Please refer to the timetable for further details.

Southern Cross University employs different teaching methods within units to provide students with the flexibility to choose the mode of learning that best suits them. SCU academics strive to use the latest approaches and, as a result, the learning modes and materials may change. The most current information regarding a unit will be provided to enrolled students at the beginning of the study session.

Fee information

Domestic

Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.
Commencing 2021 Commonwealth Supported only. Student contribution band: 2

Fee paying courses
For POSTGRADUATE or UNDERGRADUATE full fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees

International

Please check the international course and fee list to determine the relevant fees.

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