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Question
a computer manufacturer conducted a survey. it showed that a younger customer will not necessarily purchase a lower or higher priced computer. what is likely true? there is no correlation between age and purchase price. there is a correlation between age and purchase price. there may or may not be causation. further studies would have to be done to determine this. a hospital found that a lower outside temperature indicates a higher number of patient visits. what can we determine from this information? there is no correlation between outside temperature and number of patient visits. there is a correlation between outside temperature and number of patient visits. however, there is no causation. this is because there is an increase in the number of patient visits with a decrease in the temperature outside. there may or may not be causation. further studies would have to be done to determine this. ms. barnes studied her students history test scores and sleeping habits. she found that students who slept less tended to earn lower scores on the test. what conclusion should she make? there is no correlation between test score and amount of sleep. there is a correlation between test score and amount of sleep. there is probably also causation. this is because there is a decrease in a students test score with a decrease in the amount of sleep. there may or may not be causation. further studies would have to be done to determine this.
(a) Just because a younger customer may not necessarily buy a lower - or higher - priced computer doesn't mean there is no correlation. A correlation could exist, but more data and analysis are needed to determine it.
(b) A decrease in outside temperature indicating a higher number of patient visits shows a correlation. But correlation doesn't imply causation. To determine causation, more controlled studies would be required.
(c) Students who slept less having lower test scores shows a correlation between test score and amount of sleep. However, correlation does not mean causation. Further research is needed to establish causation.
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(a) There may or may not be a correlation between age and purchase price. Further studies would have to be done to determine this.
(b) There is a correlation between outside temperature and number of patient visits. However, there is no causation. This is because there is an increase in the number of patient visits with a decrease in the temperature outside. There may or may not be causation. Further studies would have to be done to determine this.
(c) There is a correlation between test score and amount of sleep. There is probably also causation. This is because there is a decrease in a student's test score with a decrease in the amount of sleep. There may or may not be causation. Further studies would have to be done to determine this.