Mathematics in T level science : Teaching tests for correlation RX065

Introduction to methods for examining the degree in which two data sets are correlated, building upon students' understanding of scatter diagrams and correlation.

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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 course builds upon the content in 'RX062 An introduction to statistical tests in T level science' course in order to develop methods of teaching to develop deeper understanding. You will begin by considering different types of correlation and how the strength of the correlation between two variables can be quantified using the product moment correlation coefficient. You will consider when Spearman's Rank correlation coefficient should be used and how to determine when the result is statistically significant.

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:

RX062 An introduction to the Statistical Tests in T Level Science (2 hours)

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

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

• Build upon student understanding of scatter diagrams to consider different types of correlation and the need to quantify the strength of the relationship
• Use the Pearson's Product-Moment Correlation Coefficient to quantify the strength of correlation between two sets of data
• Consider how to use, and when to user the Spearman Rank Correlation Coefficient to quantify the strength of the correlation
• Use probability tables to determine the significance of the result.

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.