Final answer:
The statement concerning standing ovation models is false; higher variance could lead to more initial stand-ups due to varied audience thresholds. If the null hypothesis is false, there can be higher variance due to significant differences in means.
Step-by-step explanation:
The statement regarding standing ovation models is False. In standing ovation models, a higher variance in show quality could potentially lead to more uncertainty among audience members about whether to stand up initially. The model implies that if the quality of the show varies greatly, some people may be more inclined to stand up for exceptionally good performances while others may remain seated for less impressive ones. Initial stand-ups are influenced by individual thresholds for what one considers a performance worth a standing ovation. If the performance quality is consistently high or low, audience response may be more uniform.
Regarding the null hypothesis in statistics, if the null hypothesis is false and there is a significant difference in means between groups, this can lead to higher variance in the combined data, as indicated by different positionings of the box plots on the graph.