## 3 Results
### The Summary of Experimental Results for Different Seasons
The connection between exterior and interior humidity during the spring and autumn is also evident from values in Table 3.  
Figure 14: The relations for solar radiation intensity during the sunny, cloudy, and model day. Figure 13: The relations for solar radiation intensity, ambient temperature, and interior temperature during the evaluated time period. All external and internal parameters were put into the context of THI. In the conditions of Central Europe, the highest THI values are reached in the summer, when the significant effect of temperature was confirmed, as the humidity had the minimum values. For this reason, the dependencies for the hottest month of the year (July) are presented in Figure 17. The influence of PV modules installation on the THI is summarized in Figure 18.  
The results of correlation analysis declared the very high correlation with a coefficient near 1 in both cases. Dependencies were created for extreme values that may occur. The green curve represents the values of THI for maximum temperature and maximum relative humidity, the blue curve represents the THI for maximum temperature and minimum relative humidity. The average difference between values of THI was 2.88. The calculated value of the THI difference could mean that the comfort limit was exceeded. The opposite extreme represents the dependence of the THI for the minimum temperature and maximum relative humidity (red curve), as well as the dependence for the minimum values of temperature and humidity (orange curve). The average difference in THI values in this case was 0.05. Figure 16: Dependencies for relative interior and exterior humidity during the model day in October. Figure 15: The relations for ambient temperature and relative humidity during the year. Statistical ANOVA test was used to determine the effect of PV on THI (software STATISTICA 10, StatSoft CR Ltd.). F-test in the ANOVA table tests whether there are any significant differences amongst the means. If there are, the Multiple Range Tests tell us which means are significantly different from which others. The F-ratio, which in this case equaled 0.0305954, was a ratio of the between-group estimate to the within-group estimate. The effect of the THI without PV modules installation on THI with PV installation was caused mainly by the effects within groups THI without PV modules or THI with PV modules because the sum of squares 498.196 was greater than 2.440. That means the variance in the groups was not caused by the interaction between groups. Since the \(p\)-value 0.8669 of the F-test was greater than 0.05, there is not a statistically significant difference between the averages of the 2 variables at the 95% confidence level. The method currently being used to discriminate among the averages was [PERSON]'s least significant difference (LSD) procedure. The results of variation analysis could be influenced by small number of values in Table 3, and also by small changes of parameters. In this case, it is better to apply variance analysis on the day data or for the selected time range during the solar radiation intensity culmination. From the statistical results, it seems that installation of PV modules has not influenced the THI. The external and internal conditions vary during the day. Very important statistical results were obtained for days with extreme temperatures, which are reached during the summer season. For these days a \(p\)-value of F-test near  
Figure 17: The dependencies for limit values of temperatures and relative humidity and its impact on the THI in July. Figure 16.0 The influence of PV modules installation on the THI values during the year. \(p\) = 0.0446 was obtained, which is statistically significant. The same F-test was applied on the data experimentally detected for the winter season, and there were calculated \(p\)-values near 0.0513 during the days with extreme external conditions. From the comprehensive assessment point of view, even small changes in internal conditions can cause only a slight difference in the THI value.