Table 1 Tabulation of \({\chi }^{2}\) and p-values calculated using the Stuart-Maxwell method, testing the null hypothesis that the JAR score distributions between the two samples are identical.

From: Impact of beverage temperature on consumer preferences for black coffee

Sample Comparison

\({\chi }^{2}\)

\(p\)-value

Sig.

Hottest assessed (68.4 ± 1.5 °C)

Coldest assessed (58.7 ± 1.9 °C)

29.23

2 × 10−6

***

Hottest assessed (68.4 ± 1.5 °C)

Closest to mean temp. assessed (64.1 ± 0.6 °C)

15.91

0.00183

**

Coldest assessed (58.7 ± 1.9 °C)

Closest to mean temp. assessed (64.1 ± 0.6 °C)

1.40

0.705

n.s

  1. The sample size is 118 assessors for each comparison, with three degrees of freedom. Statistical significance is denoted with asterisks as *** for p < 0.001, ** for p < 0.01, or n.s. for not significant. See Fig. 3 for the corresponding graphical representation of the JAR score distributions, and see supplementary Table S1 for the corresponding contingency tables.
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