Course Title: Analyse data and report results
Part B: Course Detail
Teaching Period: Term2 2016
Course Code: MATH5334C
Course Title: Analyse data and report results
School: 155T Vocational Health and Sciences
Campus: City Campus
Program: C5282 - Diploma of Laboratory Technology (Biotechnology)
Course Contact: Amberlee Mitton
Course Contact Phone: +61 3 9925 8053
Course Contact Email: amber.mitton@rmit.edu.au
Name and Contact Details of All Other Relevant Staff
Namrita Kaul
99254309
Nominal Hours: 80
Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.
Pre-requisites and Co-requisites
Pre-Requisites MSL924001A - Process and interpret data
Course Description
This unit of competency covers the ability to perform scientific calculations, analyse trends and uncertainty in data and report results within the required timeframe.
National Codes, Titles, Elements and Performance Criteria
National Element Code & Title: |
MSL925001A Analyse data and report results |
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Element: |
1. Perform scientific calculations |
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Performance Criteria: |
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Element: |
2. Analyse trends and relationships in data |
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Performance Criteria: |
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Element: |
3. Determine variation and/or uncertainty in data distributions |
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Performance Criteria: |
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Element: |
4. Check for aberrant results |
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Element: |
5. Report results |
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Learning Outcomes
Details of Learning Activities
1. Lectures
2. Online learning activities
3. Computer Based tutorials
Teaching Schedule
4th July |
• Introduction to Statistics • Basic Statistics • Descriptive Statistics |
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11th July
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• Continue with previous week • Equations involving pH, [H], [OH], buffer calculations, Ka, pKa, Kb, pKb, Kw • Henderson – Hasselbach equation |
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18th July
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• Correlation • Linear and Non-Linear relationship between data |
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25th July
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• Normal Distribution • Control Charts |
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1st August
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• Continue with Control Charts • Types of Control charts |
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8th August |
1. Normal Distribution 2. z scores calculations |
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15th August |
• Calculating confidence limits for the means • More on Normal Distribution • Revision for mid sem |
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22nd August |
Mid semester exams | |
29th August |
Student Vacation |
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5th Sept |
Conducting statistical tests z-test |
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12th Sept |
•t-test and using Minitab | |
19th Sept |
• Conducting Chi-square and using Minitab | |
26th Sept |
• Conducting ANOVA using Minitab | |
3rd Oct |
• Case studies based on all statistical tests • Valid measurement and data acceptability tests |
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10th Oct |
• Continue with previous week. | |
17th Oct |
Revision/ Catch up | |
24th Oct | Exam Week | |
Learning Resources
Prescribed Texts
Handouts and Online Learning materials will be provided during the course. |
References
Practical statistics for the health sciences / Peter Martin, Robyn Pierce |
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Statistics for starters / Peter Martin & Robyn Pierce |
Other Resources
Handouts on MyStudies RMIT
Overview of Assessment
Assessments for this course typically consist of:
• Class activities
• Assignments
• Presentations
• Exams
Assessment Tasks
To demonstrate competency in this course you need to successfully complete each one of the following pieces of Assessment:
- Four online assignments/quizzes to be conducted online (10% each)
- Minitab exam- using and interpreting statistical analysis(20%)
- In Class Presentation - Data Collection and Analysis(10%)
- End of semester exam (30%)
(All assessment tasks/online and presentation will be conducted during class time in the class room)
Assessment Matrix
Other Information
This course is graded in accordance with competency-based assessment, but which also utilise graded assessment
CHD Competent with High Distinction (80 – 100%)
CDI Competent with Distinction (70 – 79%)
CC Competent with Credit (60 – 69%)
CAG Competency Achieved – Graded (50 – 59%)
NYC Not Yet Competent
DNS Did Not Submit for assessment
• To pass the course you need to pass, on average, each type of assessment (exams and assignments etc.) For example, if there are two exams you need to have an average of 50% to pass and you also need to have passed the other assessment types. You can’t make up marks from one type of assessment to another (e.g. pass the exams but fail the prac component).
• Late work that is submitted without an application for an extension (see below) will not be corrected.
• APPLICATION FOR EXTENSION OF TIME FOR SUBMISSION OF ASSESSABLE WORK - A student may apply for an extension of up to 7 days from the original due date. They must lodge the application form (available online http://www1.rmit.edu.au/students/assessment/extension) at least 24 hours before the due date. The application is lodged with the School Admin Office on Level 6, Bdg 51. Students requiring longer extensions must apply for SPECIAL CONSIDERATION.
• For missed assessments such as exams- you (& your doctor if you are sick) must fill out a special consideration form. This form must be lodged online with supporting evidence prior to, or within, 48 hours of the scheduled time of examination http://www1.rmit.edu.au/students/specialconsideration
Course Overview: Access Course Overview