Inferences about individuals based on the results of group data on the stability of intelligence test scores may be misleading because: reliability of group data may not be high enough for individual interpretation. scores for a single person can still vary widely. the group may not be representative of the population. the individual may not be part of the group.

scores for a single person can still vary widely

Explanation: When making inferences, it is very important to be cautious of factors which may influence and are hence strong determinants in our measurement. That is, when dealing with group data, usually the sample size usually consists of a set of different individuals each with different singular values, these individual values are analyzed and thus we arrive at an average. This average is usually representative of the albeit some little variation. However, thses slight variation should be considered when making inference about a certain or specific individual purely based on the outcome of the data obtained from a group analysis as the score, attribute or value of a single person could still deviate highly from that obtained from the group measurement.

in this scenario it would be the consumer demand as most influential in making the decision. the band members need to figure out where and from whom they will make the most money, in other words who out of the two consumer groups - football fans or car drivers - will spend their money, who is more likely to contribute to their cause and buy what they are offering.