An introduction to the Statistical Tests in T Level Science RX062

Explore the mathematics that underpins the statistical requirements of the T level specification, introducing new higher level content that builds upon students' prior knowledge from GCSE.


Summary

Are you looking to develop your students' understanding of statistical tests in T Level Science? This course forms part of a suite of CPD designed to provide you with a deeper understanding of the statistical tests required in T level Science.

This introductory course explains the mathematics which underpin the statistical tests used in T levels to develop a deeper understanding of why these tests are used. You will consider the different kinds of data and how data can be represented using bar charts, frequency histograms and frequency density histograms. You will consider different frequency distributions and how these can be used to estimate probability. You will also explore different strategies to help teach the statistical tests to develop a deeper understanding.

This suite of short professional development courses been have developed provide support for the statistical tests which are embedded throughout the T level qualifications. Each course will develop pedagogy, mathematical subject knowledge and highlight resources suitable for classroom use. The other three courses in this suite are:

RX063 Mathematics in T level science: Teaching Chi-squared (2 hours)

RX064 Mathematics in T level science: Teaching student t-test (2 hours)

RX065 Mathematics in T level science: Teaching tests for correlation (2 hours)

If you'd like to book to attend the full suite of courses, please see RX067 Understanding the statistical tests in T Level Science

Outcomes

By attending this session you will:

  • Consider different types of data and the corresponding graphical representations students are required to use
  • Explore the key differences between frequency histograms and frequency density histograms.
  • Explore probability density functions and their application
  • Explore how the properties of the Normal distribution can be used to calculate probabilities.

Notes

This course relates to the T Level Technical Qualification in Science (Level 3) and has been developed alongside supporting provision from NCFE 1.
‘T Level’ is a registered trademark of the Institute for Apprenticeships and Technical Education. 
The T Level is a qualification approved and managed by the Institute for Apprenticeships and Technical Education.

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