Respuesta :
Answer:
Increasing the confidence level from 95% to 99% increases the margin of error which in turn decreased the lower limit and increased the upper limit of the 99% confidence interval.
Step-by-step explanation:
95% confidence interval is (6.7 hours, 9.3 hours)
Margin of error = (9.3-6.7)/2 = 1.3 hours
99% confidence interval is (6.257 hours, 9.743 hours)
Margin of error = (9.743-6.257)/2 = 1.743 hours
The margin of error increased because as the confidence level increases, the critical value (t) also increases.
Increasing the margin of error invariably would decrease the lower limit of the mean and increase the upper limit.
Answer:
In my opinion, the 99% confidence interval will be more accurate.
Step-by-step explanation:
Statisticians define a confidence interval (CI) as a type of estimate computed from the statistics of the observed data. The Ann Arbor Public school's official are sure to some extent the their students spend considerable period of time on internet.
Using the 95% confidence interval, they estimated to true mean of the hours spend on internet daily by the teens is 95% certain to fall between [6.7Hours, 9.3Hours].
Again by Using the 95% confidence interval, they estimated to true mean of the hours spend on internet daily by the teens is 99% certain to fall between [6.257Hours, 9.743Hours].
In my opinion, the choice of using 95% and 99% confidence interval is to arrive at more accurate mean of hours spend on internet daily by Ann Arbor public school teens. 99% confidence interval is more wider and accurate considering the large random sample selection.