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Statistics for Psychologists – Data and the T-test

 
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About this Course

About the Course

This course, by Dr Andrew Bell (Kings College London), is an introduction to statistics for psychologists and the t-test. In the first module, we are introduced to the different types of data which might be analysed for a scientific study. In the second module, we think about descriptive statistics, specifically mean, variance, and standard deviation. Next, we explore data distributions, working through normal (or Gaussian), leftward skewed, and rightward skewed graphs. The fourth module brings to light null hypothesis significance testing (NHST), highlighting the importance of understanding what is meant by rejecting and not rejecting a hypothesis. In the fifth module, we think about the t-test, outlining the similarities and differences between a one sample, independent samples, and paired samples test. In the sixth and final module, we work through an example of each of the three t-tests to solidify our understanding.

About the Lecturer

Dr Andrew Bell is a lecturer in cognitive neuroscience in the Institute of Psychiatry, Psychology and Neuroscience at King’s College London. Dr Bell works in the neuroimaging department and focuses his teaching on statistics and statistical techniques. Dr Bell’s recent research has included papers on the structure and function of primate visual cortices and the impact of viewing ambiguous social interactions on the ‘social brain’. Dr Bell is a senior fellow of the Higher Education Academy and has published a review of animal lesion techniques used by researchers of human neuropsychology.

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