Answer:
To provide a range of values that, with a certain measure of confidence, contains the population parameter of interest.
To provide a range of values that has a certain large probability of containing the population parameter of interest.
Step-by-step explanation:
For estimating a parameter value, it is important to know the statement or degree of confidence that the interval contains the parameter value along with knowing the point estimate and the amount of possible error in the point estimate (which is the interval likely to contain the parameter value).Thus , an interval estimate of a population parameter is the confidence interval with a statement of confidence that the interval contains the parameter value. The confidence interval is a range of values around the statistic that are believed to contain, with a certain probability (say 99%) the true value of that statistic or the population value.
Answer:
True
Step-by-step explanation:
15/7 is about 2.14 which is less than 3
Step-by-step explanation:
use the midpoint formula
-3+-7/2, 8+-6/2
(-5, 1)
Step-by-step explanation:
since Poisson distribution parameter is not given so we have to estimate it from the sample data. The average number of of arrivals per minute at an ATM is
So probabaility for 
is
So expected frequency for 
is 
(or 
.
