Final answer:
The student's question seems to pertain to the interpretation of a five-number summary and confidence intervals in a statistics context. The five-number summary includes specific measures of a dataset, and confidence intervals provide a range in which the true mean is likely to be found with a certain level of confidence.
Step-by-step explanation:
The student's question appears to be related to the interpretation of statistical data, specifically the five-number summary and confidence intervals.The five-number summary consists of the minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum. Without additional context, such as a box plot or the actual dataset, it is not clear what the student is asking to be defined as true or false. However, if these numbers are purported to be the five-number summary of the dataset, then those values simply represent those specific summary statistics.
As for confidence intervals, the data provided indicates two different confidence interval estimates for the mean score. A 95 percent confidence interval suggests that one can be 95% certain that the interval contains the true population mean. Similarly, a 90 percent confidence interval suggests that one can be 90% certain that the interval contains the true population mean.
Considering the examples provided, these relate to hypothesis testing, normal distribution characteristics, and applications to specific scenarios, such as estimating a mean score given a specific previous exam score. All of this suggests that the question revolves around fundamental concepts of statistics.