School: Science

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Introductory Statistics
  • Unit Code

    MAT1114
  • Year

    2019
  • Enrolment Period

    1
  • Version

    1
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
    Online
  • Unit Coordinator

    Mr Neil Robert SUMNER

Description

This unit deals with the methods and skills of organising, summarising and presenting numerical data. The concepts of estimation and hypothesis testing are studied, with the emphasis on analysing real data. Calculators and statistical software are used throughout the unit.

Equivalent Rule

Unit was previously coded ECF1150

Learning Outcomes

On completion of this unit students should be able to:

  1. Calculate and present statistics to summarise aspects of univariate data.
  2. Calculate confidence intervals using normal and t distributions.
  3. Calculate correlation coefficients and find regression lines for bivariate data.
  4. Calculate probabilities using an appropriate population model.
  5. Perform a chi-squared test of goodness of fit and association in a contingency table.
  6. Perform hypothesis tests for one and two samples using the normal and t distributions.
  7. Use calculators and statistical software to carry out statistical calculations.

Unit Content

  1. Confidence intervals and hypothesis tests for means and proportions and differences of means and proportions.
  2. Hypothesis tests for goodness of fit, contingency tables and tests for association.
  3. Organising, summarising and presenting numerical data using traditional methods and methods of exploratory data analysis; centre and spread of univariate data; correlation and simple linear regression for bivariate data.
  4. Probability models of populations; binomial distribution; Poisson distribution; normal distribution; normal approximation to the binomial; central limit theorem; t distribution; X^2 distribution.

Learning Experience

ON-CAMPUS

Students will attend on campus classes as well as engage in learning activities through ECU Blackboard.

JoondalupMount LawleySouth West (Bunbury)
Semester 1 x 2 hour labNot OfferedNot Offered
Semester 113 x 2 hour lectureNot Offered13 x 2 hour lecture
Semester 113 x 1 hour tutorialNot Offered13 x 1 hour tutorial
Semester 113 x 1 hour workshopNot OfferedNot Offered
Semester 2 x 2 hour labNot OfferedNot Offered
Semester 213 x 2 hour lectureNot OfferedNot Offered
Semester 213 x 1 hour pass sessionNot OfferedNot Offered
Semester 213 x 1 hour tutorialNot OfferedNot Offered

For more information see the Semester Timetable

ONLINE

Students will engage in learning experiences through ECU Blackboard as well as additional ECU learning technologies.

Additional Learning Experience Information

In on-campus mode, lectures include presentations and class discussions, while tutorials/workshops are self-paced. In the tutorials/workshops, students will learn to use statistical software packages and be expected to work through the tutorial worksheets. The tutors will be on-hand to support and guide the students if required. In the online mode, the unit will provide an interactive learning experience through Blackboard which will include lecture recordings, multimedia presentations, online discussions and reading material. Students are expected to undertake self-directed learning through reading and participation in online activities and discussion of critical ideas and concepts.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.

ON CAMPUS
TypeDescriptionValue
TestMid-semester test15%
TestSPSS test15%
AssignmentWeekly exercises20%
ExaminationEnd of semester examination 50%
ONLINE
TypeDescriptionValue
TestMid-semester test15%
TestSPSS test15%
AssignmentWeekly exercises20%
ExaminationEnd of semester examination50%

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

MAT1114|1|1

School: Science

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Introductory Statistics
  • Unit Code

    MAT1114
  • Year

    2019
  • Enrolment Period

    2
  • Version

    2
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
    Online
  • Unit Coordinator

    Mr Neil Robert SUMNER

Description

This unit deals with the methods and skills of organising, summarising and presenting numerical data. The concepts of estimation and hypothesis testing are studied, with the emphasis on analysing real data. Calculators and statistical software are used throughout the unit.

Equivalent Rule

Unit was previously coded ECF1150

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply appropriate summary statistics and graphical techniques to explore and display data.
  2. Analyse data using appropriate statistical techniques.
  3. Use calculators and statistical software to carry out statistical analysis.
  4. Interpret statistical results and communicate them in a coherent written form.
  5. Make appropriate inferences on populations of interest.

Unit Content

  1. Hypothesis tests for goodness of fit, contingency tables, tests for association, and non-parametric testing.
  2. Probability limit theorem; t-distribution; Chi-square distribution.
  3. Confidence intervals and hypothesis tests for means and proportions and differences of means and proportions.
  4. Probability models of populations; binomial distribution; Poisson distribution; normal distribution; central limit theorem; t-distribution; Chi-square distribution.
  5. Organising, summarising and presenting numerical data using methods of exploratory data analysis; centre and spread of univariate data; correlation and simple linear regression for bivariate data.

Learning Experience

ON-CAMPUS

Students will attend on campus classes as well as engage in learning activities through ECU Blackboard.

JoondalupMount LawleySouth West (Bunbury)
Semester 1 x 2 hour labNot OfferedNot Offered
Semester 113 x 2 hour lectureNot Offered13 x 2 hour lecture
Semester 113 x 1 hour tutorialNot Offered13 x 1 hour tutorial
Semester 113 x 1 hour workshopNot OfferedNot Offered
Semester 2 x 2 hour labNot OfferedNot Offered
Semester 213 x 2 hour lectureNot OfferedNot Offered
Semester 213 x 1 hour pass sessionNot OfferedNot Offered
Semester 213 x 1 hour tutorialNot OfferedNot Offered

For more information see the Semester Timetable

ONLINE

Students will engage in learning experiences through ECU Blackboard as well as additional ECU learning technologies.

Additional Learning Experience Information

In on-campus mode, lectures include presentations and class discussions, while tutorials/workshops are self-paced. In the tutorials/workshops, students will learn to use statistical software packages and be expected to work through the tutorial worksheets. The tutors will be on-hand to support and guide the students if required. In the online mode, the unit will provide an interactive learning experience through Blackboard which will include lecture recordings, multimedia presentations, online discussions and reading material. Students are expected to undertake self-directed learning through reading and participation in online activities and discussion of critical ideas and concepts.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.

ON CAMPUS
TypeDescriptionValue
ExerciseWeekly quizzes20%
TestMid-semester test15%
TestSPSS test15%
ExaminationEnd of semester examination 50%
ONLINE
TypeDescriptionValue
ExerciseWeekly quizzes20%
TestMid-semester test15%
TestSPSS test15%
ExaminationEnd of semester examination50%

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

MAT1114|2|2