The statement that 99% of all confidence intervals with a 99% confidence level should contain the population parameter of interest is false.
A confidence interval (CI) is essentially a range of estimates for an unknown parameter in frequentist statistics. The most frequent confidence level is 95%, but other levels, such 90% or 99%, are infrequently used for generating confidence intervals.
The confidence level is a measurement of the proportion of long-term associated CIs that include the parameter's true value. This is closely related to the moment-based estimate approach.
In a straightforward illustration, when the population mean is the quantity that needs to be estimated, the sample mean is a straightforward estimate. The population variance can also be calculated using the sample variance. Using the sample mean and the true mean's probability.
Hence we can generally infer that the given statement is false.
To learn more about confidence intervals visit:
brainly.com/question/24131141
#SPJ4
Answer:
the answer to that is 4 hope it help
Because if you did not you would not have a exact answer.
Answer:
X = 18
Y = 18
Step-by-step explanation:
first make two equation like
x + y = 36
1180x + 125y = 23490
from equation one we have
y = 36- x
put in second equation
1180x + 125 (36-x) = 23490
1180x + 4500-125x = 23490
1055x = 23490-4500
x = 18990/1055
x = 18
put this x value in equation 1 to find y value
18+ y = 36
y = 36-18
y = 18
No! 1 yard is only 3 feet tall.
