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The current and official versions of the course specifications are available on the web at https://www.usq.edu.au/course/specification/current.
Please consult the web for updates that may occur during the year.

STA8170 Statistics for Quantitative Researchers

Semester 1, 2021 On-campus Toowoomba
Short Description: Statistics for Quant Research
Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Sciences
Student contribution band : Band 1
ASCED code : 010103 - Statistics
Grading basis : Graded

Staffing

Examiner: Shahjahan Khan

Requisites

Enrolment is not permitted in STA8170 if STA2300 or STA1003 has been previously completed.

Other requisites

It is recommended that students enrolling in this course have basic computing and numeracy skills.

Rationale

This course aims to provide post graduate students with no or limited knowledge of statistics, the fundamental statistical concepts, methods and data analysis skills necessary to undertake quantitative research and interpret subsequent results. The course is aimed at developing statistical thinking and literacy for students from diverse disciplines, and is a pre-requisite for most high-level statistics courses.

Synopsis

This course focuses primarily on the graphical and numerical methods of data analysis including descriptive and inferential statistics for post-graduate students. Emphasis is on the understanding of the concepts and principles associated with statistical methods and skills required for the analysis of real-life for quantitative studies. Core components of the course include the use of a popular statistical software package (SPSS) and the development of problem-solving skills relevant to many disciplines. However, the mathematical underpinnings of the methods are not covered in detail in this course; other statistics courses cover this aspect.

Objectives

On Completion of this course students should be able to

  1. Recognise types of data and describe them using appropriate graphical and numerical analyses including exploring relationships in data;
  2. Distinguish between different methods of data generation, collection and analysis;
  3. Select and implement appropriate statistical methods to analyse quantitative data to answer an underlying research question;
  4. Prepare, manage and analyse data using a popular statistical computer package in order to analyse data, and apply appropriate statistical inferencing procedure;
  5. Apply professional skills to effectively present and communicate results of statistical analyses including interpretation and justification of statistical decisions to a diverse scholarly audience.

Topics

Description Weighting(%)
1. Exploring and understanding data: variables and values; types of data; introduction to SPSS; Describing distributions: quantitative data; graphs of distributions; summary statistics. 8.00
2. Using the normal model: standardising; unstandardising; standard normal curve; using Table Z.
8.00
3. Exploring relationships between variables: scatterplots; correlation and regression; residuals. 8.00
4. Gathering data: Observational and experimental studies; surveys; sampling methods; principles of good design; causation and confounding. 10.00
5. Randomness and probability: probability rules; events; probability models; means and standard deviation; the binomial model. 10.00
6. Sampling distribution models: proportions and means; standard error; the central limit theorem. 8.00
7. Generalising to the World at Large: introduction to hypothesis testing and confidence intervals; the sign test; sample size determination. 6.00
8. Hypothesis testing for proportions and means: z-test for proportion; one sample t-procedure for a mean; and dependent samples t procedure; confidence intervals; level of significance; type I and type II errors. 12.00
9. Hypothesis testing for proportions and means: z-test for proportion; one sample t-procedure for a mean; confidence intervals; level of significance; type I and type II errors. 12.00
10. Comparing means: two sample t-procedures; confidence intervals and hypothesis testing. One-way Analysis of Variance (ANOVA). 10.00
11. Categorical variables; contingency tables; joint, marginal and conditional distributions; Chi-square test of independence; follow-up analysis. 8.00

Text and materials required to be purchased or accessed

ALL textbooks and materials available to be purchased can be sourced from USQ's Online Bookshop (unless otherwise stated). (https://omnia.usq.edu.au/textbooks/?year=2021&sem=01&subject1=STA8170)

Please contact us for alternative purchase options from USQ Bookshop. (https://omnia.usq.edu.au/info/contact/)

De Veaux, R.D., Vellerman, P.F. & Brock, D.E 2016, Stats: data and models, 4th Global Edn edn, Pearson Education, Harlow, United Kingdom.
All additional study material will be provided on the course StudyDesk.
IBM SPSS STATISTICS BASE GRAD PACK VERSION 26.0 (SPSS Version 20.0 or later is acceptable) (Note: This software can be accessed when on campus in computer laboratories and the library.
Otherwise:
1) students can access SPSS free online through https://turbo.usq.edu.au/ using their USQ credentials to login (more information will be provided on the course Study Desk)
2) a one year student license can be purchased on disk from the USQ Bookshop, or a six-month license for a download version can be purchased online from the Australia and New Zealand distributors of SPSS, Hearne Software. Before deciding to choose the download option check that the size of the download is compatible with your internet quota and speed. Be aware that the SPSS student license only allows limited reinstalment within the designated license period from initial installation).

Reference materials

Reference materials are materials that, if accessed by students, may improve their knowledge and understanding of the material in the course and enrich their learning experience.

Student workload expectations

Activity Hours
Assessments 32.00
Online Lectures 26.00
Private Study 81.00
Tutorials 26.00

Assessment details

Description Marks out of Wtg (%) Due Date Objectives Assessed Notes
Quiz 1 5 5 04 Mar 2021 1,4
Analysis Assignment 1 20 20 15 Apr 2021 1,2,3,4,5
Analysis Assignment 2 25 25 20 May 2021 1,2,3,4,5
Open Examination - Online 50 50 End S1 2,3,5 (see note 1)

Notes
  1. This will be an online exam. Students will be provided further instruction regarding the exam by their course examiner via StudyDesk. The examination date will be available via UConnect when the Alternate Assessment Schedule has been released.

Important assessment information

  1. Attendance requirements:
    It is the students' responsibility to participate appropriately in all activities and to study all material provided to them or required to be accessed by them to maximise their chance of meeting the objectives of the course and to be informed of course-related activities and administration.

  2. Requirements for students to complete each assessment item satisfactorily:
    To complete an assessment item satisfactorily, students must obtain at least 50% of the marks available for that assessment item.

  3. Penalties for late submission of required work:
    Students should refer to the Assessment Procedure http://policy.usq.edu.au/documents.php?id=14749PL (point 4.2.4)

  4. Requirements for student to be awarded a passing grade in the course:
    Due to COVID-19 the requirements for S1 2021 are:
    To be assured of receiving a passing grade a student must achieve at least 50% of the total weighted marks available for the course.

    Requirements after S1 2021:
    To be assured of receiving a passing grade a student must obtain at least 50% of the total weighted marks available for the course (i.e. the Primary Hurdle), and have satisfied the Secondary Hurdle (Supervised), i.e. the end of semester examination, by achieving at least 40% of the marks available for that assessment item.

    Supplementary assessment may be offered where a student has undertaken all of the required summative assessment items and has passed the Primary Hurdle but failed to satisfy the Secondary Hurdle (Supervised), or has satisfied the Secondary Hurdle (Supervised) but failed to achieve a passing Final Grade by 5% or less of the total weighted Marks.

    To be awarded a passing grade for a supplementary assessment item (if applicable), a student must achieve at least 50% of the available marks for the supplementary assessment item as per Section 4.4.2 of the Assessment Procedure.

  5. Method used to combine assessment results to attain final grade:
    The final grades for students will be assigned on the basis of the aggregate of the weighted marks obtained for each of the summative assessment items in the course.

  6. Examination information:
    Due to COVID-19 the requirements for S1 2021 are:
    An Open Examination is one in which candidates may have access to any printed or written material and a calculator during the examination.

    Requirements after S1 2021:
    In a Restricted Examination, candidates are allowed access to specific materials during the examination. The only materials that candidates may use in the restricted examination for this course are: writing materials (non-electronic and free from material which could give the student an unfair advantage in the examination); scientific or graphics calculator(s) which cannot communicate with any other devices (students must indicate on their examination paper the make and model of any calculator(s) they use during the examination). One A4 sheet of paper, written or typed on one or both sides with any material the student wishes to include (students are required to submit this sheet of paper with the examination paper, but it will not contribute to marks for the course). Formula sheets will be provided with the examination paper. Students whose first language is not English, may take an appropriate unmarked non-electronic translation dictionary (but not technical dictionary) into the examination. Dictionaries with any handwritten notes will not be permitted. Translation dictionaries will be subject to perusal and may be removed from the candidate's possession until appropriate disciplinary action is completed if found to contain material that could give the candidate an unfair advantage.




  7. Examination period when Deferred/Supplementary examinations will be held:
    Normally Deferred and Supplementary Examinations are held in the next Examination period. In S1 2021 selected courses will pilot an early Deferred and Supplementary Examination period held within 30 business days of results release. The list of courses involved can be found at https://cmsauth.usq.edu.au/current-students/academic/exams/supplementary-and-deferred-assessment.

  8. University Student Policies:
    Students should read the USQ policies: Definitions, Assessment and Student Academic Misconduct to avoid actions which might contravene University policies and practices. These policies can be found at http://policy.usq.edu.au.

Other requirements

  1. Computer, e-mail and Internet access:
    Students are required to have access to a personal computer, e-mail capabilities and Internet access to UConnect. Current details of computer requirements can be found at http://www.usq.edu.au/current-students/support/computing/hardware .

Date printed 18 June 2021