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222<br />

Statistics without maths for psychology<br />

Figure 7.5 Strong positive skew<br />

Figure 7.6 Strong negative skew<br />

When we have different numbers of participants in the two groups, taking a simple average<br />

of the two variances might be misleading because the formula would give the two groups<br />

equal weighting, when in fact one group might consist of more participants. In this case we<br />

would use a weighted average. The weighted average for the sample (called the pooled variance<br />

estimate) is used in order to obtain a more accurate estimate of the population variance.<br />

If your data are extremely skewed and you have very small participant numbers, you will<br />

need to consider a non-parametric test (see Chapter 16). This is because non-parametric tests<br />

do not make assumptions about normality.<br />

7.1.10 t-test for independent samples<br />

Let’s use our example of the NOISE/NO NOISE experiment to go through the SPSS instructions<br />

and output for a t-test for independent samples.

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