Summary Analysed coins Analysis
Summary
In the Coin Catalogue, the Nagidos staters are divided into three groups. It appears that the weight standard used for coins of Group 2 was approximately 0.11 g heavier than the weight standard used for Group 1, with the lowest weight standard being used for coins of Group 3 (approximately 0.57 g less than Group 1). The exceptions, however, are Type 1.5e in Group 1 and Type 2.8 in Group 2, whose weights correspond to Group 3. These two types were thus probably struck later than the other types of Groups 1 and 2.
Analysed coins
| Coin catalogue section: | Nagidos |
| Coin corpus datasets: | Nagidos, Staters – Group 1, Nagidos, Staters – Group 2, Nagidos, Staters – Group 3 |
The numbers of analysed coins are given in Table 1. Coins whose weight is unknown or unreliable, or that are excessively corroded or damaged, are excluded from the analysis.
| Corpus | Number of coins as of 1 November 2025 | ||
|---|---|---|---|
| Total | Excluded | Analysed | |
| Nagidos, Staters – Group 1 | 143 | 1 | 142 |
| Nagidos, Staters – Group 2 | 249 | 1 | 248 |
| Nagidos, Staters – Group 3 | 202 | 7 | 195 |
Table 1: Numbers of analysed coins
Analysis
Box plots1 of individual coin types and basic descriptive statistics are presented in Figure 1 and Table 2 (Std. Dev. denotes the standard deviation and IQR the interquartile range), respectively. Type 1.5 is divided into variants 1.5a–d and 1.5e because specimens of variant 1.5e differ significantly in weight from the other variants of this type and, in addition to the differently placed ethnic, also have lower relief.
Figure 1: Box plots of individual coin types
| Type | Count | Mean | Median | Std. Dev. | IQR |
|---|---|---|---|---|---|
| 1.1 | 26 | 10.51 | 10.57 | 0.20 | 0.22 |
| 1.2 | 7 | 10.64 | 10.73 | 0.17 | 0.21 |
| 1.3 | 43 | 10.55 | 10.55 | 0.19 | 0.26 |
| 1.4 | 4 | 10.62 | 10.59 | 0.17 | 0.29 |
| 1.5a-d | 46 | 10.47 | 10.52 | 0.23 | 0.22 |
| 1.5e | 14 | 9.85 | 9.89 | 0.24 | 0.43 |
| 1.6 | 2 | 10.13 | 10.13 | 0.39 | 0.55 |
| 2.1 | 4 | 10.47 | 10.58 | 0.40 | 0.56 |
| 2.2 | 5 | 10.56 | 10.59 | 0.20 | 0.23 |
| 2.3 | 8 | 10.59 | 10.50 | 0.23 | 0.33 |
| 2.4 | 42 | 10.52 | 10.61 | 0.29 | 0.25 |
| 2.5 | 3 | 10.20 | 10.10 | 0.28 | 0.40 |
| 2.6 | 169 | 10.66 | 10.68 | 0.15 | 0.12 |
| 2.7 | 13 | 10.51 | 10.52 | 0.18 | 0.30 |
| 2.8 | 4 | 9.98 | 9.99 | 0.16 | 0.24 |
| 3.1 | 15 | 9.90 | 9.96 | 0.35 | 0.27 |
| 3.2 | 12 | 10.02 | 9.99 | 0.14 | 0.17 |
| 3.3 | 12 | 9.91 | 10.11 | 0.45 | 0.41 |
| 3.4 | 50 | 9.88 | 9.96 | 0.26 | 0.35 |
| 3.5 | 18 | 9.84 | 9.91 | 0.20 | 0.18 |
| 3.6 | 29 | 9.93 | 9.95 | 0.29 | 0.27 |
| 3.7 | 44 | 10.05 | 10.14 | 0.25 | 0.21 |
| 3.8 | 11 | 10.00 | 10.08 | 0.23 | 0.35 |
| 3.9 | 4 | 10.16 | 10.16 | 0.05 | 0.08 |
Table 2: Basic descriptive statistics of individual coin types
As shown in Figure 1 and Table 2, similar to Type 1.5e in Group 1, Type 2.8 in Group 2 is distinguished by its lower weight. The mean and median weights of these two types correspond to those of Group 3. Types 1.6 and 2.5 also seem to be somewhat close in weight to Group 3, but since their lower weight is not so significant, it cannot be ruled out that this is merely a random deviation due to the small number of specimens in the analysed corpus (2 specimens for Type 1.6 and 3 specimens for Type 2.5).
Based on these observations, we can adjust the catalogue groups of coins in terms of weight standard as follows:
| Group A: | coins of Group 1 except Type 1.5e; |
| Group B: | coins of Group 2 except Type 2.8; |
| Group C: | coins of Group 3 with Types 1.5e and 2.8. |
Table 3 shows the descriptive statistics of Groups A, B and C. Figures 2–4 visualise the weight distributions of these groups: box plots, relative frequency histograms (the bars represent the relative frequencies of observations ranging from 8.70 to 11.10 g in increments of 0.10 g) with the continuous curves representing approximations of the data by the Weibull distribution2, and cumulative distributions.
| Statistics | Group A | Group B | Group C |
|---|---|---|---|
| Number of coins: | 128 | 244 | 213 |
| Mean: | 10.51 | 10.62 | 9.94 |
| Standard deviation: | 0.22 | 0.20 | 0.27 |
| Interquartile range: | 0.25 | 0.17 | 0.30 |
| Skewness: | -1.17 | -2.12 | -1.74 |
| Kurtosis: | 4.87 | 9.47 | 7.15 |
| Minimum: | 9.64 | 9.42 | 8.71 |
| 25th percentile: | 10.41 | 10.57 | 9.85 |
| Median: | 10.55 | 10.66 | 9.99 |
| 75th percentile: | 10.66 | 10.74 | 10.15 |
| Maximum: | 10.85 | 11.01 | 10.31 |
Table 3: Descriptive statistics of adjusted coin groups
Figure 2: Box plots
Figure 3: Relative frequency histograms
Figure 4: Cumulative distributions
The two-sample Kolmogorov-Smirnov tests reject the hypothesis that the weight distributions of Groups A, B and C are equal, with the p-value being less than 0.001 for all three of these paired tests. Given the Bonferroni correction (0.05/3 = 0.0167), we can conclude that the distributions of the weights of Groups A, B, and C are different. As Table 3 and Figures 2–4 show, Group B has the highest average and median weight, followed by Group A and then Group C. This is also confirmed by the one-sided Welch’s t-tests3, which all have p-values less than 0.001, i.e. less than the criterion for Bonferroni correction. The percentile bootstrap method was also used to supplement these results. Table 4 shows the observed sample medians and bootstrap 95% confidence intervals.4 Table 5 shows the difference in sample medians, its bootstrap 95% confidence interval and p-value.5 These results confirm the descending order B–A–C in terms of weight.
| median | 95% confidence interval | ||
|---|---|---|---|
| Group A | 10.55 | 10.51 | 10.59 |
| Group B | 10.66 | 10.64 | 10.68 |
| Group C | 9.99 | 9.95 | 10.04 |
Table 4: Medians and their confidence intervals
| difference in medians | 95% confidence interval | p-value | ||
|---|---|---|---|---|
| Group A vs Group C | 0.56 | 0.50 | 0.61 | <0.001 |
| Group B vs Group A | 0.11 | 0.07 | 0.16 | <0.001 |
| Group B vs Group C | 0.67 | 0.62 | 0.71 | <0.001 |
Table 5: Differences in medians
1The bottom and top of each box are the 25th and 75th percentiles of the dataset, respectively (the lower and upper quartiles). Thus, the height of the box corresponds to the interquartile range (IQR). The red line inside the box indicates the median. Whiskers (the dashed lines extending above and below the box) indicate variability outside the upper and lower quartiles. Above the upper quartile, a distance of 1.5 times the IQR is measured, and a whisker is drawn up to the largest observed data point in the dataset that falls within this distance. Similarly, below the lower quartile, a distance of 1.5 times the IQR is measured, and a whisker is drawn down to the smallest observed data point in the dataset that falls within this distance. Observations beyond the whisker length are marked as outliers and are represented by small red circles.
2The probability density function of the Weibull distribution is f(x;a,b) = b/a×(x/a)b-1×exp(-(x/a)b) for x≥0, and f(x;a,b) = 0 for x<0, where a>0 is the shape parameter and b>0 is the scale parameter of the distribution. The estimated values of the parameters for Groups A, B and C, respectively:
a: 10.608, 10.698, 10.054;
b: 63.742, 79.065, 53.899.
3The two-sample t-tests use effective degrees of freedom approximated by the Welch–Satterthwaite equation. The variances of Groups A and B are significantly different from the variance of Group C (the p-value of the F-test is 0.005 for Groups A and C, and less than 0.001 for Groups B and C).
4Wilcox 2022, pp. 122–3. The number of bootstrap samples was 106 (one million) for each group.
5Wilcox 2022, pp. 196–7. The number of bootstrap samples was 106 (one million) for each comparison.
14 October 2024 – 20 September 2026



