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  2. Introductory Statistics [MAT1114]

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

    2016

  • Enrolment Period

    1

  • Version

    1

  • Credit Points

    15

  • Full Year Unit

     N

  • Mode of Delivery

    On Campus
    Online

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 areused 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. Usecalculators 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.

Additional Learning Experience Information

For on-campus students: Lectures, tutorials and workshops. Calculators and statistical software packages will be used throughout the unit. For external students: Learning modules consisting of on-line reading materials, Java-simulations and multimedia presentations. Calculators and statistical software package swill be used throughout the unit.

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%
Examination ^End of semester examination 50%
ONLINE
TypeDescriptionValue
TestMid-semester test15%
TestSPSS test15%
AssignmentWeekly exercises20%
Examination ^End of semester examination50%

^ Mandatory to Pass

Text References

  • Coakes, S. J., Steed, L., & Ong, C. (2010). SPSS: Analysis without anguish Version 17.0 for Windows. Milton Qld: Wiley.
  • Bluman, A. G. (2009). Elementary statistics: a step by step approach (7th ed.). New York: McGraw-Hill.
  • Bereson, M. L., Krehbiel, T. C., & Lavine, D. M. (2005). Basic business statistics: concepts and applications (10th ed.). New Jersey: Prentice-Hall.

Website References

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

    2016

  • Enrolment Period

    2

  • Version

    1

  • Credit Points

    15

  • Full Year Unit

     N

  • Mode of Delivery

    On Campus
    Online

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 areused 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. Usecalculators 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.

Additional Learning Experience Information

For on-campus students: Lectures, tutorials and workshops. Calculators and statistical software packages will be used throughout the unit. For external students: Learning modules consisting of on-line reading materials, Java-simulations and multimedia presentations. Calculators and statistical software package swill be used throughout the unit.

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%
Examination ^End of semester examination 50%
ONLINE
TypeDescriptionValue
TestMid-semester test15%
TestSPSS test15%
AssignmentWeekly exercises20%
Examination ^End of semester examination50%

^ Mandatory to Pass

Text References

  • Coakes, S. J., Steed, L., & Ong, C. (2010). SPSS: Analysis without anguish Version 17.0 for Windows. Milton Qld: Wiley.
  • Bluman, A. G. (2009). Elementary statistics: a step by step approach (7th ed.). New York: McGraw-Hill.
  • Bereson, M. L., Krehbiel, T. C., & Lavine, D. M. (2005). Basic business statistics: concepts and applications (10th ed.). New Jersey: Prentice-Hall.

Website References

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|2