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Understanding Method Design and Data Collection - Online Lesson for Science Extension HSC

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Event description

About the Program

HSC students explore the best scientific practice when collecting data for the HSC Science Extension course - what to consider when formulating a research question, the "how to" of experimental design, and what statistics are important to consider before commencing data collection.

There will be an opportunity for you and your students to hear from and meet our statistics demonstrators. Our demonstrators are honours and postgraduate students with majors in mathematics who readily use statistics in their own research practice. In addition to an understanding of statistical theory, they will provide research advice and inspiration from their own research areas.

By the time your students leave, they should feel confident stepping out into their own exciting dive into authentic scientific research.

This seminar is the first in a three-part series of data analysis advice workshops run by the University of Sydney for HSC Science Extension students. Parts two and three - Understanding Hypothesis Testing and Statistical Analysis and Personalised Data Analysis Advice - will run concurrently in May and June. The combination of these two workshops is designed to advise students how to effectively analyse the specific data they have collected throughout their research. Registration details for parts two and three of the Data Analysis Advice program will be released closer to the date.

Lesson Structure

  • Understanding the appropriate use of methodologies for quantitative and qualitative research, including primary and secondary investigations, and meta-analyses.
  • Classifications of data and how to choose the correct classification.
  • Understanding what is required to collect valid and reliable data in different scientific contexts.
  • Considerations that should be made when designing a method and gathering data.
  • Sources of error and how to minimise them.
  • Introduction to statistical analysis techniques and their assumptions.

Terms & Conditions

  • This program is free for all attendees. Students, teachers and classes are all welcome to attend.
  • This session will be recorded. 
  • Attendees attending the program are advised that their details, video, name and chat may be seen by others attending the event or in the recording, and to take their own privacy needs into account.
  • Disruptive or disrespectful behaviour may result in removal from the Zoom meeting.

Zoom Format

Attendees are welcome to join individually or else join from a classroom setting from one Zoom account. The recording will be sent to all registered attendees after the session.

Contact

Questions? Please contact Martine Illing-Kelly, Senior Science Communicator for Maths & Stats, at 
martine.illing-kelly@sydney.edu.au or 0403 847 820.


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