Let's evaluate each statement:
-
The larger the number of students Terrance surveys, the better his estimate of the mean will be.
True – A larger sample size generally leads to a more accurate estimate of the population mean, as it reduces the margin of error and variability in the estimate. -
The mean can only be estimated by surveying all 595 students.
False – While surveying all students would provide the most accurate mean, it is not necessary. A representative sample can be used to estimate the mean. -
If Terrance collects a sample of students in the library reading, and surveys them, he can use that data to estimate the mean of the number of books read by all students.
False – If the sample is biased (for instance, only including students who read in the library), it may not accurately reflect the entire student population. -
To estimate the mean using a sample, Terrance will need to randomly select the students he will survey so that the sample represents the population well.
True – Random selection helps ensure that the sample is representative of the population, which is critical for making valid inferences about the mean.
Based on this evaluation, the true statements are:
- The larger the number of students Terrance surveys, the better his estimate of the mean will be.
- To estimate the mean using a sample, Terrance will need to randomly select the students he will survey so that the sample represents the population well.